Microstructure and insulating properties of foamed inorganic polymer composites containing various types of phase change materials (PCM)

Microstructure and insulating properties of foamed inorganic polymer composites containing various types of phase change materials (PCM) | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Microstructure and insulating properties of foamed inorganic polymer composites containing various types of phase change materials (PCM) Agnieszka Bąk, Kinga Setlak, Rafał Bogucki, Justyna Ciemnicka, and 6 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4519744/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The purpose of this study was to analyze the effect of phase change components on the properties of geopolymer foams. Geopolymer foams are lightweight foamed geopolymers that are characterized by a high degree of porosity. Phase change materials, on the other hand, are compounds that, when added to a material, allow it to absorb, store, and then release large amounts of energy. MikroCaps (MikroCaps, Slovenia), GR42, and PX25 (Rubitherm, Germany) were introduced as phase-change materials at 15% by weight. The geopolymer materials were produced based on silica fly ash from the Skawina Heat and Power Plant, and hydrogen peroxide H 2 O 2 was used to foam the geopolymer structure. The PCM geopolymer composites were cured at 60°C. The produced materials were tested for physical, chemical, and thermal properties. The tests included oxide and mineral composition analysis of the base material, PCM particle size analysis, density and porosity tests of the foams, water leachability tests, thermal tests (l, Cv, Cp, a), and structure and texture analysis. The most key tests to confirm the performance of phase change materials were thermal tests. With the introduction of PCM, volumetric heat capacity increased by as much as 41%, specific heat by 45%, and thermal diffusivity decreased by 23%. The results confirm the great potential of geopolymer composites as modern insulation materials for buildings and structures. Physical sciences/Materials science Physical sciences/Energy science and technology/Energy storage Geopolymer foams inorganic polymer composite Phase change materials (PCM) Functionally Graded Materials and Structures for Energy Saving composites for modern building insulation materials Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Highlights Composites based on inorganic polymers with various PCM contents as new eco-friendly and energy-saving solutions in the building insulation industry. With PCM, it is possible to increase heat capacity by up to 41% and specific heat by 45%. The addition of PCM at 15% by weight reduces thermal diffusivity by up to 23%. MikroCaps the best phase change additive for geopolymer foams. 1 Introduction Numerous attempts and projects are being undertaken around the world to develop low-carbon materials, as well as advanced thermal insulation materials [ 1 , 2 , 3 ]. In many countries, decarbonization policies are being implemented and special emphasis is being placed on solutions aimed at implementing materials with a low carbon footprint, among other things. This issue will become increasingly important in the years to come. In addition, any innovative materials with a reduced carbon footprint and better insulation performance are capable of contributing to significant financial savings associated with reduced energy demand [ 4 , 5 ]. The renewable energy industry is developing very intensively, but this development should go hand in hand with the development of modern building materials [ 6 , 7 ]. The introduction of increasingly stringent heat transfer coefficient requirements for building materials and the drive for widespread adoption of passive construction, force the development of modern building materials with thermal insulation properties [ 8 , 9 , 10 ]. Current solutions that are used on a large scale are still based on insulations that use materials such as polystyrene, polyurethane, or phenolic foams. These materials, in addition to being flammable, are also harmful to the environment and human health and cause significant problems at their disposal. Currently, the use of polystyrene foam for insulating buildings is being restricted (attempted to be restricted) very strongly in Europe and the world [ 11 ]. Comprehensive studies carried out within the scope of REACH regulations by accredited European laboratories have ruled out any adverse environmental impact of products made based on ashes and slags from coal combustion, thus providing a guarantee of the safety of their use, unlike polymer foams. Materials created using UPS are part of a low-carbon economy, as proven by the Tefra Joint Implementation Project in the UN Climate Convention standards, carried out by Ekotech - Ash Engineering. The project showed that each ton of UPS used in place of a portion of cement or lime reduces greenhouse gas emissions by about 0.5 tons [ 12 ]. For the production of geopolymers, mainly waste substances from the energy industry (fly ash) and all kinds of deposits from the mining industry are used. The use of post-mining waste is in line with the principles of Zero Waste Europe, Resource Efficient Europe, and Circular Economy. At present, due to the tightening requirements for energy consumption and ecology, it is becoming necessary to look for new alternatives to those currently in use. The new solutions should guarantee some improvement in energy efficiency [ 13 , 14 , 15 ]. Geopolymer materials have been known for at least several decades, but the greatest interest in them is being noticed now, due to their specific properties and pro-environmental parameters [ 16 , 17 , 18 ]. Many scientific papers have been written confirming the suitability of geopolymers for structural and insulating applications in construction. These materials are considered an alternative to popular Portland cement-based concretes [ 19 , 20 ]. Very often geopolymers surpass traditional concretes in their properties and there are already realized buildings that were constructed using geopolymer technology. Geopolymers have so far been considered an environmentally friendly material due to the use of waste materials such as fly ash and blast furnace slag in their production. Authors of scientific studies have also very often given comparisons of geopolymers to traditional Portland cement-based concretes in terms of energy requirements and CO 2 emissions [ 21 , 22 ]. At present, it seems that features such as the ability to use waste in production, lower energy consumption, and lower CO 2 emissions are no longer so attractive. There are many different types of low-carbon material solutions and binders, so geopolymers are no longer unbeatable in this area. However, it is important to note other features of geopolymers that allow them to be used in modern construction as advanced functional insulation materials. Of course, they should not be limited only to residential construction, but can also be successfully used in industrial insulation or insulation of industrial premises [ 23 , 24 , 25 ]. Geopolymer foams are a topic of consideration for many researchers [ 26 , 27 , 28 ]. In addition to the synthesis of the foams themselves, the properties of the produced insulations are also key [ 29 , 30 , 31 ]. The addition of PCM to geopolymers and geopolymer foams has been the subject of many scientific studies reported in the literature [ 32 , 33 ]. The authors of many papers confirm that the addition of PCM materials contributes to improving the accumulation performance of building materials. PCM geopolymers have been an interesting material for construction applications for many years, but they require continuous development and advanced research, and the possibilities of their use and properties are presented in scientific papers [ 34 , 35 ]. The authors of the paper [ 33 ] proved that the addition of PCM in the form of a composite of paraffin with expanded perlite to geopolymer concrete in the amount of 15 wt.% and 30 wt.% reduced the peak temperature in the test room by 1.85°C and 3.76°C, respectively, while increasing the heat capacity by 105% and 181%. Despite the reduction in mechanical properties of the geopolymer concrete with PCM, the tested geopolymer concrete containing PCM showed increased mechanical properties. A very interesting study on the issue of geopolymers with PCM was presented by the authors of the paper [ 36 ]. This is because they presented the results of a study related to the addition of innovative fatty acid-based PCMs encapsulated in polyurethane foam to geopolymers. The results of their study indicate that the prepared geopolymer mortar with the developed PU@PCM composite provides a suitable operating temperature range (10–22°C) for the design of energy-efficient buildings with good energy storage capacity (ΔHf = 164 J/g). Although the addition of PU@PCM caused a loss of compressive strength, the developed composites still meet the mechanical requirements for concrete applications, and the PU@PCM-rich composite reaches 29.5 MPa. In addition, the thermal performance study conducted shows that the incorporation of PU@PCM significantly improves the heat capacity and slightly reduces the thermal conductivity of the developed composites. A reduction in the mechanical strength of geopolymer composites due to the addition of PCM materials was also demonstrated by the authors of the paper [ 35 ]. The authors of this work showed that micro-encapsulated PCMs (MPCMs), such as E-EVA and St-DVB, slightly reduced the compressive strength of geopolymers, but the composites still showed high strength compared to typical strength classes of ordinary concrete. It also proved that the workability of geopolymer concrete can remain within acceptable ranges when PCM materials are added in small amounts. In addition, there has been a significant increase in the heat capacity at the melting point of PCM geopolymer mortars and concretes, which can be used to save energy in buildings. The effect of PCM on the mechanical strength of autoclaved concretes was also studied by [ 37 ]. The study produced a thermal backfill for mining applications based on autoclaved cellular concrete with the addition of phase change materials (AAC-PCM). A gradual decrease in the strength of the composite accumulation backfill with the addition of AAC-PCM was observed as the amount of PCM increased, but the decrease in strength gradually decreased. The maximum reduction in thermal conductivity was 30%, and the specific heat increased by about 31.4%. The authors proved that doping with a small amount of AAC-PCM can significantly improve the thermal capacity of backfill and has good strength for practical application in mines. The effect of PCM on reducing mechanical strength was also observed by the author of the paper [ 38 ]. The mechanical properties of mixtures with the addition of mPCM decreased as the PCM content increased. The reduction in compressive strength was up to 50% compared to the control sample. All studies conducted so far on geopolymer materials with PCM addition have shown that the addition of phase change materials significantly increases the heat capacity of such composites. Despite the reduction in mechanical properties, it is reasonable to increase the heat capacity and improve the insulating properties. Foamed geopolymer materials with the addition of PCM deserve special attention here. They have a real chance to replace popular insulating materials such as plastic foams, mineral wools, and polystyrene [ 39 , 40 ]. Tightening environmental requirements may help speed up the implementation of geopolymers as insulation materials on an industrial scale. To reduce CO 2 emissions by 55% by 2030, it is necessary to use sustainable and energy-efficient materials such as geopolymer concrete or geopolymer foams containing phase change materials (PCMs) in infrastructure development. This article presents comprehensive results on foamed geopolymer materials containing phase change materials. Foamed geopolymers have several favorable characteristics, such as high-temperature resistance, resistance to corrosive environments, high heat capacity, and low thermal conductivity. In addition, the use of phase change materials in the structure of foamed geopolymers contributes to increasing the heat capacity of the entire composite and makes such compositions suitable for use in many scientific fields. The article presents the results of testing foamed composites with the addition of 15 wt.% PCM in 3 variants. PCM was used both in the form of macrocapsules (granules and powder) and suspension of microcapsules in liquid. An analysis of the physical and chemical properties and very detailed results of the thermal properties of this type of material are presented, as well as an evaluation of its structure. Precise multi-criteria studies, as well as the pursuit of continuous development of these materials, seem inevitable to create an opportunity for them to be implemented in the construction industry. The research results presented in the following section of the paper bring new knowledge in the field of properties of geopolymer composites and phase change materials, and they have an undeniable impact on the development of disciplines dealing with the topic of sustainable and energy-efficient materials. The authors used an innovative approach, conducting detailed and advanced research. This article presents an innovative approach to combining low thermal conductivity materials with high heat capacity materials. By using foamed geopolymers doped with PCM materials, it is possible to achieve favorable insulating properties with additional increased heat capacity. The addition of phase change materials can increase the specific heat of such a composite without significantly degrading the insulating properties. This is very attractive from an application point of view, as the use of non-combustible insulation that can accumulate heat can bring huge benefits for mass-scale deployment. Phase-change materials are currently an innovative solution on the market, enabling significant levels of energy savings. Phase-change materials placed in a matrix of porous geopolymer insulation means that heat passing through the building envelope (penetrating) is additionally retained (captured) by the PCM material. After the partition cools down, this heat is given back, but due to the insulating nature of the partition, it does not enter the room in all its quantity but is blocked (insulated) by the porous structure of the matrix material. Such a solution is comprehensive and thermally efficient and guarantees thermal comfort in the rooms where it is used. A building envelope made with the participation of such a solution will not cause overheating of rooms and buildings. The solutions and research results described in this article undoubtedly represent an innovative approach to the use of PCM in building materials and can contribute to the significant development of such disciplines as civil engineering and materials engineering or related fields. 2 Materials and methods The base material of the geopolymer foams produced was fly ash from the Skawina Heat and Power Plant (CEZ Skawina S.A, Skawina, Poland). Concrete fly ash with certificate no: 1488-CPR-0166/W. According to the data from the document, the density of fly ash grains was 2210 kg/m 3 , the loss of roasting was in categories A and B, and the fineness of this material was classified in category N. This material has the highest content of silicon dioxide (SiO 2 ) - about 50–60 wt.% and more than half the content of diglin trioxide (Al 2 O 3 ). This fly ash can also be called silica fly ash due to its high SiO 2 content. Siliceous fly ash is a fine-grained material with pozzolanic properties. It is obtained by mechanically or electrostatically precipitating ash from the waste gases of coal dust combustion in power boilers. Oxide analysis of fly ash was carried out by XRF fluorescence analysis, which was performed on a SCHIMADZU EDX-7200 (SHIMADZU Europa GmbH, Duisburg, Germany). The test was carried out in an air atmosphere with holders designed for bulk materials and Mylar film, and the results are shown in Table 1 . Mineral phase analysis, on the other hand, was carried out by XRD X-ray diffraction analysis on a PANalytical AERIS series instrument (Malvern PANalytical, Lelyweg 1, Almelo, The Netherlands) and is shown in Table 2 . Quantitative analysis was carried out using the Rietveld method, which was implemented in HighScore Plus software (version 4.8). The PDF-4 + database of the International Center for Diffraction Data (ICDD) was used during the analysis. Measurements were recorded in the range of 10–100° with a step of 0.003° (2θ) and a time per step of 340 s, using Cu Kα radiation. Table 1 Oxide analysis for fly ash. Precursor Oxide Composition (wt.%) SiO 2 Al 2 O 3 K 2 O FeO Na 2 O MgO Fly ash 55.82 34.48 4.55 1.88 1.81 1.46 Table 2 Mineral phase analysis for fly ash. Fly ash Identified phase Chemical formula Percentage share [wt.%] Datasheet number Mullite Al 6 Si 2 O 13 51.3 00-015-0776 Quartz SiO 2 44.5 01-074-1811 Anhydrite CaSO 4 2.3 00-006-0226 Hematite Fe 2 O 3 0.7 04-006-2616 Magnetite Fe 3 O 4 0.7 04-006-6550 Rutile TiO 2 0.5 00-034-0180 Three different organic paraffinic phase change materials were added to the geopolymer foams. It was decided to compare three types of phase change materials with different phase change temperatures ranging from 22 o C to 42 o C. Additionally, these materials differed in the form in which they appeared. The first was MikroCaps PCM 28 Slurry (MikroCaps, Slovenia), and phase change materials from Rubitherm (Rubitherm, Germany) - GR42 and PX25 - were also used. MikroCaps is a material in which microcapsules are placed in suspension, while the other two materials are macro capsules inside which a paraffinic phase-change material is placed. Table 3 shows the specifications of all the phase change additives used. Table 3 Technical parameters of PCMs used in geopolymer foams [41,42]. Using an Anton-Paar PSA 1190LD laser analyzer (AntonPaar GmbH, Graz, Austria), particle size analysis was performed on all PCMs used in geopolymer foams. Wet analysis was performed for the MikroCaps additive (due to the nature of the material), while laser dry analysis was performed for the other components. Five test measurements were taken for each material, and then the mean and standard deviation were calculated using Kalliope Professional software (version 2.22.1). Particle size analysis was performed to see if the particle size of PCMs affects the properties studied in the next section of the article. Table 4 shows the results of the measurements. Table 4 Particle size analysis of PCMs. Material D 10 [µm] D 50 [µm] D 90 [µm] Average value [µm] Standard deviation [µm] MikroCaps 2.22 5.79 9.36 6.20 0.003 GR42 46.36 109.93 145.08 108.65 0.267 PX25 2.96 10.56 23.51 12.74 0.096 The hydraulic additive stabilizing the porous structure of the produced geopolymer foams was Portland cement with the trade name Górkal 70 (Górka Cement, Trzebinia). Syringaldehyde (Merck, Darmstadt, Germany) was used as a surfactant. Sand from the Świętochłowice Sand Plant (Świętochłowice, Poland) and ash microspheres, which are responsible for the formation of closed pores (TERMO-REX S.A., Jaworzno), were also used in the mixture. Both sand and microspheres constituted the filler in the geopolymer structure. The polycondensation reaction of the geopolymer was induced by adding a 10-mole alkaline solution of sodium silicate with sodium water glass. Sodium silicate R-145 with a molar modulus of 2.5 and a density of 1.45 g/cm 3 (ANSER Chemical Plant, Wiskitki, Poland) and flaked caustic soda (PCC Group, Brzeg Dolny, Poland) were used. The most important material for making geopolymer foams was 36% hydrogen peroxide H 2 O 2 (Azoty Group, Puławy, Poland), and it was responsible for the formation of the porous geopolymer structure. To the geopolymer foams, 15 wt.% phase change materials were added, as described above. Table 5 shows the determinations of the samples produced and shows by weight the amount of components used in their production. Table 5 Characteristics of ready made samples with PCM. ID Fly ash [wt.%] Cement [wt.%] Sand [wt.%] Microsphere [wt.%] Surfactant [wt.%] PCM content [wt.%] H 2 O 2 [wt.%] 10M solution [wt.%] R.F.A. 70 9 7 14 0.005 0 0.05 0.35 15% MikroCaps 70 9 7 14 0.005 15 0.05 0.35 15% GR42 70 9 7 14 0.005 15 0.05 0.40 15% PX25 70 9 7 14 0.005 15 0.05 0.52 2.1. Preparations of geopolymer foams Fly ash, cement, sand, ash microspheres, and Syringaldehyde surfactant were mixed dry in an M/LMB-s laboratory mixer (GEOLAB, Warsaw, Poland) for about 5 minutes at 58 rpm until all ingredients were evenly mixed. Phase change additives GR42 and PX25 were mixed with the solid ingredients, and MikroCaps were added after mixing the solid ingredients. After mixing the dry geopolymer mixture and additives, an alkaline activator in the form of a 10 M sodium silicate solution with sodium water glass was introduced and mixed for another 10 minutes. When a dense mass was obtained, 36% hydrogen peroxide H 2 O 2 was added. Once a homogeneous mass was obtained and the formation of a porous structure was initiated, the material was very quickly transferred to suitable molds (to prevent the foams from sagging) and then annealed at 60°C for 24 hours in an SLW 750 laboratory dryer (POL-EKO Perfect-Environment, Wodzisław Śląski, Poland). After 24 hours, the samples were unmolded. The samples for further testing were cubic cubes with dimensions of 10x10x10cm. A schematic of the manufacture of geopolymer foams with the addition of phase change materials is shown in Fig. 1 , while Fig. 2 shows the finished test samples (overview photo). 3 Results and Discussion 3.1 Tests of physical properties – density of ready made sample As described above, 4 types of samples were made: a reference sample containing no PCM materials, and 3 samples with 15 wt.% phase change material. Each variant was performed 4 times. The results presented below are presented for all 4 samples from each variant due to the significant scatter in the results. Such discrepancies are common for foamed geopolymer samples. Each of the described samples was tested 6 times and the average results of the 6 measurements taken are presented. The density of the finished cubes was forfeited using the geometric method, based on the mass and volume of the samples - ρ b1 . The volume of the slabs was constant (10x10x10cm), but the mass varied slightly from sample to sample. The dimensions of the samples were measured using a laboratory caliper to the nearest 0.01 mm, and the weight of the samples was determined using a RADWAG PS 200/2000.R2 precision laboratory analytical balance to the nearest 0.01g. Knowing the dimensions and mass of the samples, their volume density ρb1 was calculated from the simple relation (1): $${\rho }_{b1}=\frac{m}{V} \left[\frac{kg}{{m}^{3}}\right]$$ 1 where: m - mass, V - volume. The average density values ρ b1 of the tested geopolymers, are summarized in Table 6 . Based on 8 measurement results for each variant of the samples, the average value was also calculated to better illustrate the relationship between the content of phase change materials and density. Table 6 Calculated values of density ρ b1 of the tested samples. Designation of samples R.F.A. 15% MikroCaps 15% GR42 15% PX25 ρ b1 [kg/m3] 422,5 399 406 419,5 From the above measurement data, it can be seen that each phase-change additive caused a decrease in density. 15 wt.% MikroCaps caused a 6% decrease in density, and this was the largest change. The 15 wt.% GR42 additive decreased density by 4%, and 15 wt.% PX25 decreased density by only 1%. The decrease in density in all cases is not large, but significant since phase change additives in such content should increase the density of the samples tested. The decrease in density can be caused by inaccurate mixing of the ingredients during the manufacture of the samples or failure to react with all the ingredients. The decrease may also be because the consistency of the mixture has changed as a result of the addition of the phase-change materials, and despite the addition of a higher-density material to the foamed geopolymer mixture, a structure with a higher degree of foaming has been obtained. 3.2 Tests of physical properties – porosity of ready made sample Porosity tests were performed on a GE Phoenix v|tomex|m (General Electric Company, Hürth, Germany) with a microfocus lamp using a cone beam. Each sample was scanned with the same scanning parameters − 120 kV at a lamp intensity of 350 µA. A copper filter with a constant thickness of 1 mm was used for the tests. The measurement was carried out with an accuracy at which the dimension of the voxel was equivalent to 30 µm. A calibration procedure was carried out according to the manufacturer's recommendations. A single study involved the taking of 2,500 images. A single examination lasted about 60 minutes. During the examination, the module was activated to exclude the influence of a defect in a single detector pixel, as well as an auto-sco function to optimize the geometry. For safety reasons, radiation levels were monitored during and after the study. Since this research should only be considered complementary, only 2 (25x25x25mm) samples were tested (due to the high cost of the test). It was decided to conduct tests only for samples containing PCM materials in two variants: PCM in the form of MikroCaps suspension and one variant for PCM in the form of macrocapsules - GR42. The porosity of the sample with 15 wt.% MikroCaps and 15 wt.% GR42 was checked, and the results are shown in Table 7 . Figures 3 and 4 show scans of the samples taken with the CT scanner described above. The large region is shown in blue, while the small closed region is shown in red. Both of these regions were used to calculate the porosity, which is shown in the table below. Table 7 Porosity of samples with PCM addition. ID Porosity on large region/visualization of pores [%] Porosity on small closed region [%] 15% MikroCaps 51 66 15% GR42 48 81 The higher porosity on the large region was from the sample with 15 wt.% MikroCaps − 51%, while on the small closed region, the higher porosity was from the sample with 15 wt.% GR42–81%. A more authoritative result is the one from the small closed region, so the higher porosity was obtained by the sample with 15 wt.% GR42, which is confirmed by the above scans. 3.3 Tests of chemical properties – water leachability of ready made sample The next tests that were performed for the prepared samples were leachability tests, which were commissioned by AP Geotechnika (Siemianowice Śląskie, Poland). The AP Geotechnika laboratory provides services in testing the physical and chemical characteristics of aggregates (including anthropogenic), industrial waste, soils, soil-soil mixtures, and construction materials. For testing, 500g of powder of each sample was prepared (the samples were crushed on a ball drum mill - model C20-ABLA-1/ manufacturer ATEST, Kielce, Poland), which was then tested, and the results are shown in Table 9 . Table 9 shows the results of testing the concentrations of harmful substances, along with the limit values. In addition, the pH of the tested samples and chromium (VI) were also determined. Metals, chlorides, fluorides, sulfates, heavy metals, and chromium (VI) in the leachate were tested according to ISO 17025 by the laboratory's internal methods. Moisture content, dissolved solids (TDS), and dissolved organic carbon in the leachate were tested by non-accredited in-house methods. All harmful substances described so far were determined wet, while pH in the leachate was determined for a dry sample. Table 8 The results of testing the concentrations of harmful substances with the limit values for all samples. Permissible leaching limits*) R.F.A. 15% MikroCaps 15% GR42 15% PX25 liquid/solid phase = 10 l/kg [mg/kg dry weight] baseline test mg/kg mg/kg mg/kg mg/kg Component CRITERIA FOR ALLOWING INERT WASTE TO BE DEPOSITED IN AN INERT WASTE LANDFILL CRITERIA FOR ALLOWING HAZARDOUS WASTE TO BE DISPOSED OF IN A HAZARDOUS WASTE LANDFILL CRITERIA FOR ALLOWING NON-HAZARDOUS AND INERT WASTE TO BE DEPOSITED IN A LANDFILL FOR NON-HAZARDOUS AND INERT WASTE Arsen (As) 0.5 25 2 7.0 5.1 5.2 6.5 Bar (Ba) 20 300 100 0.20 0.23 0.22 0.21 Cadmium (Cd) 0.04 5 1 < 0.0020 < 0.0020 < 0.0020 0.0038 Total chromium (Cr) 0.5 70 10 0.28 0.21 0.31 0.28 Copper (Cu) 2 100 50 0.28 0.33 0.22 0.28 Mercury (Hg) 0.01 2 0.2 < 0.010 < 0.010 < 0.010 < 0.010 Molybdenum (Mo) 0.5 30 10 3.5 1.7 1.6 2.1 Nickel (Ni) 0.4 40 10 0.051 0.087 0.054 0.062 Lead (Pb) 0.5 50 10 0.028 < 0.020 0.043 0.038 Antimony (Sb) 0.06 5 0.7 0.24 0.15 < 0.020 0.25 Selen (Se) 0.1 7 0.5 1.7 1.3 1.3 1.2 Zinc (Zn) 4 200 50 0.23 0.17 0.20 0.24 Chlorides (Cl-) 800 25 000 15 000 250 230 250 190 Fluorides (F-) 10 500 150 40 36 36 51 Sulfates (SO42-) 1 000 50 000 20 000 4 100 4 200 3 500 3 800 Dissolved organic carbon (DOC) 500 1 000 800 2 700 3 300 3 000 1 200 Dissolved solids (TDS)**) 4 000 100 000 60 000 48 000 53 000 45 000 62 000 Chromium 6+ 38 41 48 55 pH 11.5 11.1 11.6 10.8 *) Permissible leaching limits for waste disposed of in landfills equipped with leachate collection systems subsequently directed to wastewater treatment plants. except for DOC and TDS components, which are considered to be met for values higher than those specified in the table. **) Values for dissolved solid compounds (TDS) can be used interchangeably for sulfate and chloride values. The above table shows the permissible leaching limits. Fly ash, which is the base material of the samples made, belongs to inert waste. When alkaline solutions are added to the geopolymer mixture, the produced product should be treated as hazardous waste. According to the criteria for allowing hazardous waste to be disposed of in hazardous waste landfills - all tested samples have lower permissible values of all elements listed in the table (according to hazardous waste). As for the pH of the tested samples, each of them showed an alkaline pH, due to activation of the polycondensation process with an alkaline solution of NaOH. In Poland, all waste must be stored due to the storage criteria described in the table. This test was conducted to confirm that the materials produced do not pose a threat to the environment. Exceeding leachability levels for materials classified as inert is the result of the use of alkaline activators, in the presence of which heavy metals and other elements leach from the fly ash. 3.4 Tests of thermal properties – thermal conductivity λ, volumetric heat capacity C v , specific heat C p , and thermal diffusivity a The thermal tests were carried out at the Department of Civil Engineering, Mechanics and Petrochemistry of Warsaw University of Technology in Plock, Poland (Warsaw University of Technology, Płock, Poland). Six measurements were made for each sample using an Isomet 2114 (ASTM standard D5334-08), a commercial microprocessor-controlled device with interchangeable probes. A known heat source produced a radially propagating wave in the sample. Power dissipation generates heat flow through the probes in direct contact with the material, and a serial port (RS-232C protocol) records the signal. Semiconductor sensors at specific points on the materials sample the change in temperature as a function of time: the temperature increases linearly with the logarithm of time. The device has a wide measurement range and can be used for insulation and construction materials, among other things. The measurement range depends on the probe used and includes λ values from 0.015 to 6.0 W/(m*K) and Cv values from 0.04 to 3 MJ/(m3*K). The measurement accuracy for the above ranges of thermal conductivity and specific heat by volume is 5%. The meter has two optional types of probes: needle probes for soft materials and surface probes for hard materials. Measurement data can be stored in the device's internal memory or exported to a computer. In the experiment presented here, a surface probe was used. The device analyzes temperature changes that result from the response of the material under test to the flow of thermal pulses. These changes are measured by interchangeable probes that are connected to a meter, which is in turn connected to a computer that records the results. During the measurement, the amount of heat generated by the device is known, and the heat propagates radially through the sample. The temperature rise of the sample varies linearly with the logarithm of time. This relationship makes it possible to directly obtain the thermal conductivity of the material under test. According to the second law of thermodynamics, the thermal conductivity (λ) was determined by Eq. ( 3 ): $${\lambda }=\frac{\text{Q}\text{d}}{\text{A}\varDelta \text{T}}\left[\frac{\text{W}}{\text{m}\text{*}\text{K}}\right]$$ 3 where: Q - amount of heat transferred, d - distance between two isotherms, A - area, ∆T - temperature gradient. Volumetric heat capacity Cv is the ability of a material to accumulate heat, expressed in terms of the amount of heat needed to heat 1m 3 of material by 1K. The value of Cv is calculated according to formula (4): $${\text{C}}_{v}=\frac{\text{Q}}{{\text{V}}_{c}\varDelta \text{T}}={C}_{p}*{p}_{b1}\left[\frac{\text{k}\text{J}}{{\text{m}}^{3}\text{*}\text{K}}\right]$$ 4 where: Q - amount of heat transferred, Vc - volume, ∆T - temperature gradient, Cp - specific heat, p b1 - density. Specific heat capacity ( Cp )/specific heat is the heat required to increase the temperature of 1 g of a substance by 1 K and is given by (5): $${\text{C}}_{p}=\frac{\text{Q}}{m\varDelta \text{T}}=\left[\frac{\text{J}}{\text{k}\text{g}\text{*}\text{K}}\right]$$ 5 where: Q - amount of heat transferred, m - mass, ∆T - temperature gradient. Thermal diffusivity ( a ) quantifies the rate of heat transfer of a material from the hot side to the cold side and was calculated using Eq. ( 6 ): $$\alpha =\frac{{\lambda }}{{p}_{b1}{\text{C}}_{p}}=\left[\frac{{\text{m}\text{m}}^{2}}{\text{s}\text{e}\text{c}}\right]$$ 6 where: λ - thermal conductivity, p b1 - density, Cp - specific heat. Thermal measurements were performed on all modified samples measuring: thermal conductivity λ , volumetric heat capacity Cv , and thermal diffusivity a , always performing 6 measurement series. The specific heat Cp , expressed in units of J/(kg·K), was obtained by dividing the measured volumetric heat capacity Cv by the volumetric density of the material ρ b1 . The measurement data above represent 4 measurements for a given sample variant (R.F.A, 15 wt.% MikroCaps, 15 wt.% GR42, 15 wt.% PX25). Based on the average values was \((\stackrel{-}{X)}\) from the table, the average value was calculated for the 4 sample variants and is shown in Table 9 to better illustrate the percentage differences between the composites. Table 9 Average values of thermal parameters for all samples. ID Thermal properties of sample with PCM λ [W/(m·K)] C v [MJ/(m 3 ·K)] C p [J/(kg·K)] a [mm 2 /s] R.F.A. 0.0839 0.4900 1182.7 0.1703 15% MikroCaps 0.0838 0.6914 1717.6 0.1318 15% GR42 0.0802 0.5544 1402.3 0.1462 15% PX25 0.0911 0.6888 1705.8 0.1358 When the standard deviation of a random variable X is unknown, the distribution of the sample mean \(\stackrel{-}{X }\) is very well approximated by a Student's t-distribution. If the random variable under study has an N(µ, σ ) distribution and the standard deviation is not known, we build a confidence interval using a t-Student distribution with a probability density expressed by formula (7), where Γ(x), is the Euler gamma function: $$f\left(t, n\right)=\frac{\varGamma \left(\frac{n+1}{2}\right)}{\varGamma \left(\frac{n}{2}\right)\sqrt{n\pi }}{\left(1+\frac{{t}^{2}}{n}\right)}^{-\frac{n+1}{2}}$$ 7 After transformations, we finally get (8): $$P\left(\stackrel{-}{X}{-t}_{n-1; /2}\frac{s}{\sqrt{n}}\le \mu \le \stackrel{-}{X}+{t}_{n-1; /2}\frac{s}{\sqrt{n}}\right)=1-\alpha$$ 8 where: a is the assumed significance level and 1 - a is the confidence level. With the results of n measurements, parameters such as the mean \(\stackrel{-}{X }\) and standard deviation s calculated from the sample were determined. The ranges in which the actual measured values of thermal conductivity λ , specific heat Cp , and thermal diffusivity a are located, with a specified probability, were estimated. An assessment of measurement uncertainty based on the Student's t-distribution was used for all measurements carried out. Based on statistical calculations, with an assumed confidence level of 95%, the confidence intervals of the measured thermal properties were determined. With a probability close to unity, the sought-after values of the thermal parameters ( λ , Cp , a ) of the modified geopolymers are within the ranges shown in Table 10 . Table 10 Calculated confidence intervals of measured thermal properties of modified geopolymer materials. Test sample Determined confidence intervals R.F.A. P (0.0837 ≤ λ ≤ 0.0840) = 0.95 P (1178.6 ≤ C p ≤ 1186.5) = 0.95 P (0.1697 ≤ a ≤ 0.1708) = 0.95 15% MikroCaps P (0.0741 ≤ λ ≤ 0.0933) = 0.95 P (1647.5 ≤ C p ≤ 1787.6) = 0.95 P (0.1214 ≤ a ≤ 0.1421) = 0.95 15% GR42 P (0.07947 ≤ λ ≤ 0.0809) = 0.95 P (1396.3 ≤ C p ≤ 1408.3) = 0.95 P (0.1455 ≤ a ≤ 0.1468) = 0.95 15% PX25 P (0.0900 ≤ λ ≤ 0.0922) = 0.95 P (1682.5 ≤ C p ≤ 1729,2) = 0.95 P (0.1328 ≤ a ≤ 0.1388) = 0.95 Analyzing Table 10 , the thermal conductivity of all samples oscillated at the same level of 0.08 W/m*K. The thermal conductivity for the 15 wt.% MikroCaps sample decreased by 0.1%, for the 15 wt.% GR42 sample it decreased by 4%, while for the 15 wt.% PX25 sample, it increased by 9%. All thermal conductivity values are very low, even though that the thickness of these samples is as much as 10 cm. The volumetric heat capacity for each sample with PCM increased significantly, a very welcome effect. The largest increase was observed for the sample with 15 wt.% MikroCaps - a 41% increase. Cv for the sample with 15 wt.% GR42 increased by 13%, and for the sample with 15 wt.% PX25 also increased by 41%. As for specific heat, again all samples with PCM had a higher Cp value than the reference sample. The Cp of the sample with 15 wt.% MikroCaps increased by 45%, that of the sample with 15 wt.% GR42 increased by 19%, and that of the sample with 15 wt.% PX25 increased by 44%. The last parameter analyzed was the thermal diffusivity coefficient a . The coefficient a indicates the rate at which temperature changes from one plane to another, i.e. the susceptibility of the material to temperature equalization during heating or cooling at specific locations. The a coefficient should be as low as possible because then there is greater susceptibility of the material to temperature equalization. All samples with PCM had a lower a than the reference sample. For the sample with 15 wt.% MikroCaps, the thermal diffusivity decreased by 23%, for the sample with 15 wt.% GR42 - by 14%, and for the sample with 15 wt.% PX25 it decreased by 20%. All parameters that should improve with the addition of PCMs received very favorable results, so all tests confirmed the essence of the performance of phase change materials in geopolymer foams. All samples obtained the same confidence level − 95%. This means that 95% of the measurement result belongs to the real range. 3.5 Visual porosity assessment of ready made samples with PCMs Image analysis of the fabricated PCM geopolymer foams was performed on a Keyence VHX-7000 digital optical microscope (KEYENCE INTERNATIONAL, Mechelen, Belgium). Photographs of the porous structures of the material were taken using the 3D function and are shown in Fig. 5 . A magnification of 20× was used for each sample. The marker in the figures corresponds to 2000 µm. Analysis of the structure by digital optical microscopy made it possible to determine the size of the pores and their qualitative contribution. All images show the macropores of the structures produced. They are mainly closed pores. It was observed that the reference ash sample was characterized by medium-sized pores with high heterogeneity. Pores of 1000–3000 µm were observed in the reference sample. The sample with 15 wt. % MikroCaps had very fine and homogeneous pores of 500–1000 µm. The pores of the sample with GR42 additive are slightly larger than the sample with 15 wt.% MikroCaps and are quite heterogeneous, with a size of 750–1500 µm. The addition of PX25 made the pores homogeneous and similar in size around 1500–3500 µm, with an average size of 2000 µm. Based on the results of the study, it can be concluded that the particle size of the phase change materials used in the study has a significant effect on porosity. The average particle size of the MikroCaps additive resulted in the formation of fine and homogeneous pores. With a slightly larger particle size than MikroCaps - PX25 obtained medium-sized homogeneous pores. The large particle size of the GR42 additive made the pores quite heterogeneous and of different sizes. 3.6 Microstructure of ready made samples A JEOL IT200 SEM scanning microscope (JEOL, Akishima, Tokyo, Japan) was used to take images of the microstructure of the finished geopolymer foams. Figure 6 shows the morphology of geopolymer structures with the addition of phase change materials. The photos were taken at various magnifications to illustrate the porosity and phase change additives contained in the samples. The SEM image above shows the porous and amorphous structure of pure fly ash-based geopolymer and samples with phase change materials added. The arrows indicate undissolved ash particles and show unbound sodium particles and paraffin PCM additives, which are visible at high magnification. Paraffin binds very well to the geopolymer matrix, as evidenced by the above illustrations. 3.7 Discussion In this article, a series of comprehensive studies analyzing samples of 15 wt.% phase change material were conducted. The article presents studies of physical properties, chemical properties, extensive studies of thermal properties (to check the real performance of these composites), and complementary qualitative studies of the structure. In the discussion section, the authors will analyze the most relevant relationships. From the above measurement data, it can be seen that each phase-change additive caused a decrease in density. 15 wt.% MicroCaps caused a 6% decrease in density and this was the largest change. The 15 wt.% GR42 additive decreased density by 4%, and 15 wt.% PX25 decreased density by only 1%. The decrease in density in all cases is not large, but significant since phase change additives in such content should increase the density of the samples tested. The decrease in density can be caused by inaccurate mixing of the ingredients during the manufacture of the samples or failure to react with all the ingredients. The decrease may also be because the consistency of the mixture changed due to the addition of phase change materials, and despite the addition of a higher density material to the foamed geopolymer mixture, a structure with a higher degree of foaming was obtained. In the work of other authors, it was observed that the decrease in density is closely related to the porosity of the geopolymer structure and the size of the pores. As the porosity increases, a decrease in the roundness of the voids is observed [ 43 , 44 ]. In this work, the porosity of two samples of 15 wt.% MicroCaps and 15 wt.% GR42 was studied. The sample with 15 wt.% GR42 had a higher porosity of 81%. The high porosity of this sample caused the pores to be much less rounded and homogeneous than those of the MicroCaps sample (the porosity of this sample was lower, and the pores were more homogeneous and had similar shapes and sizes). The formation of more fine voids is mainly responsible for the reduced density in these samples [ 45 , 46 ]. This finding is confirmed by the present work. The largest decrease in density was observed for the MicroCaps sample, which was characterized by very fine pores. For the sample with 15 wt.% GR42, the pores were slightly larger than those of the MicroCaps sample, resulting in a smaller decrease in density. The smallest decrease in density was observed for the sample with PX25 - only 1%. The pores of this sample were quite large and there were far fewer of them than in the previous two cases. Porosity is also related to the size of the introduced additive. Individual microcapsules of small size (3–10 µm) can fill the voids between aggregates, leading to a reduction in porosity [ 47 , 48 ]. The porosity of the sample with MicroCaps was lower than that of GR42, and the particle size of this additive was small and within the range stated above (6 µm), making the porosity decrease compared to GR42. The thermal conductivity of all samples oscillated at the same level of 0.08 W/m*K. The thermal conductivity of the 15 wt.% MicroCaps sample decreased by 0.1%, that of the 15 wt.% GR42 sample decreased by 4%, while that of the 15 wt.% PX25 sample increased by 9%. All thermal conductivity values are very low, even though the thickness of these samples is as much as 10 cm. The reduction in conductivity is an indirect effect since the addition of PCM alone does not reduce the thermal conductivity coefficient. The increase in thermal conductivity is determined by a reduction in the porosity of the insulating material [ 49 , 50 ]. Thermal conductivity for similar unconventional natural raw materials ranges from 0.06 to 0.1 W/m*K [ 51 , 52 ], which is in close agreement with measured values. The largest increase in conductivity was observed for the PX25 sample, which had the largest pores, making its porosity shown in digital optical microscope images the lowest. The volumetric heat capacity for each PCM sample increased significantly, which is a very desirable effect. The largest increase was observed for the sample with 15 wt.% MicroCaps - a 41% increase. Cv for the sample with 15 wt.% GR42 increased by 13%, and for the sample with 15 wt.% PX25, it also increased by 41%. Other authors of articles have also shown that the addition of PCM in large quantities increases the heat capacity [ 53 , 54 ]. As for specific heat, again all samples with PCM had a higher Cp value than the reference sample. The Cp of the sample with 15 wt.% MicroCaps increased by 45%, the sample with 15 wt.% GR42 increased by 19%, and the sample with 15 wt.% PX25 increased by 44%. The authors of papers [ 55 , 56 ] observed that the higher the PCM content, the better the specific heat results. The PCM-containing geopolymers showed lower thermal conductivity, slower heating and cooling, and maintained room temperature while reducing temperature fluctuations. In this paper, the addition of PCM also increased the specific heat. The last parameter analyzed was the thermal diffusivity coefficient a. All samples with PCM had a lower coefficient a than the reference sample. For the sample with 15 wt.% MicroCaps, the thermal diffusivity decreased by 23%, for the sample with 15 wt.% GR42 - by 14%, and for the sample with 15 wt.% PX25, it decreased by 20%. Other researchers have also shown that the thermal diffusivity of PCMs is low [ 57 , 58 ]. All parameters that should improve with the addition of PCMs received very favorable results, so all tests confirmed the essence of phase change materials in geopolymer foams. All samples obtained the same confidence level − 95%. This means that 95% of the measurement result belongs to the real range. Conclusions Based on the above discussion of the research results, several conclusions can be drawn to summarize the research work: The reference ash sample had the highest density among all geopolymer foams − 423 kg/m 3 . Each phase change additive caused a decrease in density. 15 wt.% MikroCaps caused a 6% decrease in density, and this was the largest change. The 15 wt.% GR42 additive reduced density by 4%, and 15 wt.% PX25 reduced density by only 1%. The decrease in density could be due to inaccurate mixing of the ingredients during sample manufacture or failure to react with all the ingredients. The higher porosity on the large region was the sample with 15 wt.% MikroCaps − 51%, while on the small closed region, the higher porosity was the sample with 15 wt.% GR42–81%. A more meaningful result is the one from the small closed region, so the higher porosity was obtained by the sample with 15 wt.% GR42. Fly ash belongs to inert waste. When alkaline solutions are added to the geopolymer mixture, the produced product should be treated as hazardous waste. All tested samples have lower permissible values of all elements listed in the table (according to hazardous waste). As for the pH of the tested samples, each of them showed an alkaline pH, due to the activation of the polycondensation process with an alkaline solution of NaOH. The thermal conductivity of all samples oscillated at the same level of 0.08 W/m*K. The thermal conductivity for the 15 wt.% MikroCaps sample decreased by 0.1%, for the 15 wt.% GR42 sample it decreased by 4%, while for the 15 wt.% PX25 sample, it increased by 9%. All the thermal conductivity values are very low, even though the thickness of these samples is as much as 10 cm. The volumetric heat capacity for each sample with PCM increased significantly, a very welcome effect. The largest increase was observed for the sample with 15 wt.% MikroCaps - a 41% increase. Cv for the sample with 15 wt.% GR42 increased by 13%, and for the sample with 15 wt.% PX25, it also increased by 41%. All samples with PCM had a higher Cp value than the reference sample. The Cp of the sample with 15 wt.% MikroCaps increased by 45%, the sample with 15 wt.% GR42 increased by 19%, and the sample with 15 wt.% PX25 increased by 44%. The coefficient of a should be as low as possible because then there is greater susceptibility of the material to temperature equilibration. All samples with PCM had a lower a ratio than the reference sample. For the sample with 15 wt.% MikroCaps, the thermal diffusivity decreased by 23%, for the sample with 15 wt.% GR42 - by 14%, and for the sample with 15 wt.% PX25, it decreased by 20%. All parameters that should improve with the addition of PCMs received very favorable results, so all tests confirmed the essence of the performance of phase change materials in geopolymer foams. All samples obtained the same confidence level − 95%. This means that 95% of the measurement result belongs to the real range. Based on the results of the study, it can be concluded that the particle size of the phase change materials used in the study has a significant effect on porosity. The average particle size of the MikroCaps additive resulted in the formation of fine and homogeneous pores. With a slightly larger particle size than MikroCaps - PX25 obtained medium-sized homogeneous pores. The large particle size of the GR42 additive made the pores quite heterogeneous and of different sizes. Based on the above test results, it can be concluded that the best parameters were obtained by the sample with 15 wt.% MikroCaps. All thermal parameters that could be improved for this sample improved to the greatest extent. Samples with PCM should have low thermal diffusivity and high specific heat and heat capacity, which was achieved to the greatest extent for this sample. The other samples also achieved satisfactory results, and in each case, the positive effect of phase change additives for geopolymer foams was confirmed. Geopolymer foams with PCM additives are a topic of great interest and commercialization potential, and given the growing demand for new environmentally friendly and energy-efficient solutions for building insulation, the topic will continue. Geopolymer foams are a very good substitute for commercial products such as polycyclic isocyanates and wools. Declarations Conflict of Interest The authors declare no interest confict. They have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Funding All research was funded by the National Center for Research and Development under a grant: Development of technology for the additive production of environmentally friendly and safe insulating and heat storage capable materials based on alkaline activation of anthropogenic raw materials (LIDER/16/0061/L-11/19/NCBR/2020) and this work was also partially financed by the Polish National Agency for Academic Exchange under the grant BNI-UE-2023-8. Author Contribution A.B. and M.Ł. wrote the main manuscript text and R.B. K.S. and K.K. examined SEM microscopy and the properties of raw materials; A.K. K.P. and J.C performed tests of thermal properties; G.T. and V.G. improved the text and formatting and also interpreted the results and prepared conclusions. 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Chen, Cementitious composites integrated phase change materials for passive buildings: An overview. Constr. Build. Mater. 361, 129635 (2022). https://doi.org/10.1016/j.conbuildmat.2022.129635 MikroCaps https://www.mikrocaps.com / [Accessed 17 November 2023], Accessed on. Rubitherm https://www.rubitherm.eu/en/index.php/productcategory/materialkombinationen-gebundene-pcm-gr-px [Accessed 17 November 2023], Accessed on. A. Hajimohammadi, T. Ngo, P. Mendis, J. Sanjayan, Regulating the chemical foaming reaction to control the porosity of geopolymer foams. Mater. Desig. 120, 255–265 (2017). https://doi.org/10.1016/j.matdes.2017.02.026 D. Polat, M. Güden, Processing and characterization of geopolymer and sintered geopolymer foams of waste glass powders. Constr. Build. Mater. 300, 124259 (2021). https://doi.org/10.1016/j.conbuildmat.2021.124259 G. Masi, W. D. A. Rickard, L. Vickers, M. C. Bignozzi, A. van Riessen, A comparison between different foaming methods for the synthesis of light weight geopolymers. Ceram. Intern. 40 (9), Part A, 13891–13902 (2014). https://doi.org/10.1016/j.ceramint.2014.05.108 G.Masi, W. D. A. Rickard, M. C. Bignozzi, A. van Riessen, The Influence of Short Fibres and Foaming Agents on the Physical and Thermal Behaviour of Geopolymer Composites. Advan. Scien. Techn. 92, 56–61 (2014). https://doi.org/10.4028/www.scientific.net/AST.92.56 M. Uysal, K. Yilmaz, Effect of mineral admixtures on properties of self-compacting concrete. Cem. Concr. Comp. 33 (7), 771–776 (2011). https://doi.org/10.1016/j.cemconcomp.2011.04.005 I. M. Nikbin, M. H. A. Beygi, M. T. Kazemi, J. V. Amiri, S. Rabbanifar, E. Rahmani, S. Rahimi, A comprehensive investigation into the effect of water to cement ratio and powder content on mechanical properties of self-compacting concrete. Constr. Build. Mater. 57, 69–80 (2014). https://doi.org/10.1016/j.conbuildmat.2014.01.098 E. Kirilovs, I. Zotova, S. Kukle, K. Pugovics, Low density hemp shive particleboards for latent thermal energy storage performance. J. Ener. Syst. 5 (1), 1–9 (2021). https://doi.org/10.30521/jes.805791 E. Kirilovs, I. Zotova, E. Gendelis, H. Jörg-Gusovius, S. Kukle, V. Stramkale, Experimental Study of Using Micro-Encapsulated Phase-Change Material Integrated into Hemp Shive Wallboard. Build. 10 (12), 228 (2020). https://doi.org/10.3390/buildings10120228 M. Pfundstein, R. Gellert, M. Spitzner, A. Rudolphi, Insulating Materials: Principles, Materials, Applications. (Regensburg: Auműller Druck, München: Birkhäuser, 2008), https://doi.org/10.11129/detail.9783034614757 V. Lekavicius, P. Shipkovs, S. Ivanovs, A. Rucins, Thermo-Insulation Properties Of Hemp-Based Products. Latv. J. Phys. Techn. Scien. 52 (1), 38–51 (2015). https://doi.org/10.1515/lpts-2015-0004 Y. Khattari, T. El Rhafiki, N. Choab, T. Kousksou, M. Alaphilippe, Y. Zeraouli, Apparent heat capacity method to investigate heat transfer in a composite phase change material. J. Ener. Stor. 28, 101239 (2020). https://doi.org/10.1016/j.est.2020.101239 Y. Zhang, Modified computational methods using effective heat capacity model for the thermal evaluation of PCM outfitted walls. Inter. Comm. Heat Mass Trans. 108, 104278 (2019). https://doi.org/10.1016/j.icheatmasstransfer.2019.104278 M. Muraleedharan, Y. Nadir, Geopolymer mortar integrated with phase change materials for improvement of thermal efficiency in buildings: A review. Mater. Tod. Proceed. 44 (1), 878–885 (2021). https://doi.org/10.1016/j.matpr.2020.10.791 A. Bąk, K. Pławecka, P. Bazan, M. Łach, Influence of the addition of phase change materials on thermal insulation properties of foamed geopolymer structures based on fly ash. Ener. 278, 127624 (2023). https://doi.org/10.1016/j.energy.2023.127624 R. M. Saeed, J. P. Schlegel, C. Castano, R. Sawafta, V. Kuturu, Preparation and thermal performance of methyl palmitate and lauric acid eutectic mixture as phase change material (PCM). J. Ener. Stor. 13, 418–424 (2017). https://doi.org/10.1016/j.est.2017.08.005 S. Höhlein, A. König-Haagen, D.Brüggemann, Thermophysical Characterization of MgCl2·6H2O, Xylitol and Erythritol as Phase Change Materials (PCM) for Latent Heat Thermal Energy Storage (LHTES). Mater. 10 (4), 444 (2017). https://doi.org/10.3390/ma10040444 Additional Declarations No competing interests reported. Supplementary Files Statisticaldata.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Technology","correspondingAuthor":false,"prefix":"","firstName":"Kinga","middleName":"","lastName":"Setlak","suffix":""},{"id":316751644,"identity":"f3fdda8d-83e4-4e06-b78c-611eafe5bfb7","order_by":2,"name":"Rafał Bogucki","email":"","orcid":"","institution":"Cracow University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Rafał","middleName":"","lastName":"Bogucki","suffix":""},{"id":316751645,"identity":"f65e0334-53b4-40f2-a25a-962e770789ee","order_by":3,"name":"Justyna Ciemnicka","email":"","orcid":"","institution":"Warsaw University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Justyna","middleName":"","lastName":"Ciemnicka","suffix":""},{"id":316751646,"identity":"615deb6a-39cb-44eb-9d06-b48689afe743","order_by":4,"name":"Karol Prałat","email":"","orcid":"","institution":"Warsaw University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Karol","middleName":"","lastName":"Prałat","suffix":""},{"id":316751649,"identity":"3a05b7e0-f3bb-4366-9dab-f8e48f329a34","order_by":5,"name":"Artur Koper","email":"","orcid":"","institution":"Warsaw University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Artur","middleName":"","lastName":"Koper","suffix":""},{"id":316751650,"identity":"09bf42fc-7f85-4021-a885-a24e5ee474ec","order_by":6,"name":"Kinga Korniejenko","email":"","orcid":"","institution":"Cracow University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Kinga","middleName":"","lastName":"Korniejenko","suffix":""},{"id":316751651,"identity":"2ccdded3-6009-46d9-b8ed-da65fadcea0b","order_by":7,"name":"Viktor Greshta","email":"","orcid":"","institution":"Zaporizhzhia Polytechnic National University","correspondingAuthor":false,"prefix":"","firstName":"Viktor","middleName":"","lastName":"Greshta","suffix":""},{"id":316751652,"identity":"777f5e3b-7392-434b-aef9-ad9d999bca9a","order_by":8,"name":"Galyna Tabunshchyk","email":"","orcid":"","institution":"Zaporizhzhia Polytechnic National University","correspondingAuthor":false,"prefix":"","firstName":"Galyna","middleName":"","lastName":"Tabunshchyk","suffix":""},{"id":316751653,"identity":"a127d7f3-dc45-45a2-80bd-4c32155cad24","order_by":9,"name":"Michał Łach","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA50lEQVRIie3PMQrCMBSA4SeBuIS6plTqCYQUoS4epiI4iRRcBAc3u3iAeguPIAh1ibgGXOLi5CC4ODj4qtUx7SiYH5qWwsd7AbDZfjECFCCGJgCradjgn/zRpUQAQ0LEl0TmOV9CeSXSTshZ35E0kn02iyX4joqoNpFwS7vBEgmX4+ExVdBxVVQXZoL7sHwxxcIju0J/jVN4GXEfSFpIJkjmlYiXTxFICFMQiXJCQ68pOAvkqOOlkgcreUrMdzlsz+5l2vP9nQxucdZrObtBpq8GUsRfJ3l/1Bbl4BMp3rQ6sdlstn/oCX9dRgnOTGORAAAAAElFTkSuQmCC","orcid":"","institution":"Cracow University of Technology","correspondingAuthor":true,"prefix":"","firstName":"Michał","middleName":"","lastName":"Łach","suffix":""}],"badges":[],"createdAt":"2024-06-03 06:44:26","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4519744/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4519744/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":58801507,"identity":"f47bcd01-4176-49b4-88c0-658af64fddd1","added_by":"auto","created_at":"2024-06-21 09:44:27","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":344838,"visible":true,"origin":"","legend":"\u003cp\u003eScheme for manufacturing geopolymer foams with PCM addition.\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-4519744/v1/f441b6b2fe51f8aa880b3d2e.png"},{"id":58801509,"identity":"4c5cb681-11d9-450e-b2b6-d9c8bdd73b39","added_by":"auto","created_at":"2024-06-21 09:44:28","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":477589,"visible":true,"origin":"","legend":"\u003cp\u003ePrepared test samples with PCM additive (overview photo) (samples measuring 10x10 cm).\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-4519744/v1/f8f5e1504d7d31fe27086ac5.png"},{"id":58801508,"identity":"c9c810ab-2c4d-4cd9-aef9-7624490ae23a","added_by":"auto","created_at":"2024-06-21 09:44:27","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":381677,"visible":true,"origin":"","legend":"\u003cp\u003eScans from the CT scanner for the 15 wt.% MikroCaps sample and the areas used to calculate sample porosity (blue and red colors).\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-4519744/v1/4b9985e1aeeaa612e55beb5e.png"},{"id":58801513,"identity":"7383a91b-191f-4db5-864b-b9f6ee4a56a0","added_by":"auto","created_at":"2024-06-21 09:44:29","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":393018,"visible":true,"origin":"","legend":"\u003cp\u003eScans from the CT scanner for the 15 wt.% GR42 sample and the areas used to calculate the porosity of the samples (blue and red colors).\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-4519744/v1/4ca4c1a65e0e3c90ca1b8554.png"},{"id":58801807,"identity":"f48d0b63-6e9d-4123-a3e6-f3935d00dcb8","added_by":"auto","created_at":"2024-06-21 09:52:28","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":6018125,"visible":true,"origin":"","legend":"\u003cp\u003ePorous structure morphology: a) reference fly ash, b) 15% MikroCaps, c) 15% GR42, d) 15% PX25.\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-4519744/v1/598aad9634e83236a2a50927.png"},{"id":58801511,"identity":"1ae182d5-29d5-46f3-9d83-0d4d1ccc1c82","added_by":"auto","created_at":"2024-06-21 09:44:28","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":605657,"visible":true,"origin":"","legend":"\u003cp\u003eMicrostructure of the sample: a) reference fly ash, b) 15% MikroCaps, c) 15% GR42, d) 15% PX25.\u003c/p\u003e","description":"","filename":"6.png","url":"https://assets-eu.researchsquare.com/files/rs-4519744/v1/1c9e2a1a5e212ea0a2e0ffa1.png"},{"id":60698064,"identity":"9fd4b7a3-3daf-4a64-bd8d-7fbb53fc2e6e","added_by":"auto","created_at":"2024-07-19 17:02:36","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":13770038,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4519744/v1/ca177622-1f3a-4437-b2f9-ad8cea0e5a24.pdf"},{"id":58801808,"identity":"c870363a-4657-4583-b71e-2390fef9019d","added_by":"auto","created_at":"2024-06-21 09:52:28","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":53570,"visible":true,"origin":"","legend":"","description":"","filename":"Statisticaldata.docx","url":"https://assets-eu.researchsquare.com/files/rs-4519744/v1/1fcf2ca1c41ece910de177e4.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Microstructure and insulating properties of foamed inorganic polymer composites containing various types of phase change materials (PCM)","fulltext":[{"header":"Highlights","content":"\u003cul start=\"12\"\u003e\n \u003cli\u003eComposites based on inorganic polymers with various PCM contents as new eco-friendly and energy-saving solutions in the building insulation industry.\u003c/li\u003e\n \u003cli\u003eWith PCM, it is possible to increase heat capacity by up to 41% and specific heat by 45%.\u0026nbsp;\u003c/li\u003e\n \u003cli\u003eThe addition of PCM at 15% by weight reduces thermal diffusivity by up to 23%.\u003c/li\u003e\n \u003cli\u003eMikroCaps the best phase change additive for geopolymer foams.\u003c/li\u003e\n\u003c/ul\u003e"},{"header":"1 Introduction","content":"\u003cp\u003eNumerous attempts and projects are being undertaken around the world to develop low-carbon materials, as well as advanced thermal insulation materials [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. In many countries, decarbonization policies are being implemented and special emphasis is being placed on solutions aimed at implementing materials with a low carbon footprint, among other things. This issue will become increasingly important in the years to come. In addition, any innovative materials with a reduced carbon footprint and better insulation performance are capable of contributing to significant financial savings associated with reduced energy demand [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. The renewable energy industry is developing very intensively, but this development should go hand in hand with the development of modern building materials [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. The introduction of increasingly stringent heat transfer coefficient requirements for building materials and the drive for widespread adoption of passive construction, force the development of modern building materials with thermal insulation properties [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. Current solutions that are used on a large scale are still based on insulations that use materials such as polystyrene, polyurethane, or phenolic foams. These materials, in addition to being flammable, are also harmful to the environment and human health and cause significant problems at their disposal. Currently, the use of polystyrene foam for insulating buildings is being restricted (attempted to be restricted) very strongly in Europe and the world [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. Comprehensive studies carried out within the scope of REACH regulations by accredited European laboratories have ruled out any adverse environmental impact of products made based on ashes and slags from coal combustion, thus providing a guarantee of the safety of their use, unlike polymer foams. Materials created using UPS are part of a low-carbon economy, as proven by the Tefra Joint Implementation Project in the UN Climate Convention standards, carried out by Ekotech - Ash Engineering. The project showed that each ton of UPS used in place of a portion of cement or lime reduces greenhouse gas emissions by about 0.5 tons [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. For the production of geopolymers, mainly waste substances from the energy industry (fly ash) and all kinds of deposits from the mining industry are used. The use of post-mining waste is in line with the principles of Zero Waste Europe, Resource Efficient Europe, and Circular Economy. At present, due to the tightening requirements for energy consumption and ecology, it is becoming necessary to look for new alternatives to those currently in use. The new solutions should guarantee some improvement in energy efficiency [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eGeopolymer materials have been known for at least several decades, but the greatest interest in them is being noticed now, due to their specific properties and pro-environmental parameters [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. Many scientific papers have been written confirming the suitability of geopolymers for structural and insulating applications in construction. These materials are considered an alternative to popular Portland cement-based concretes [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. Very often geopolymers surpass traditional concretes in their properties and there are already realized buildings that were constructed using geopolymer technology. Geopolymers have so far been considered an environmentally friendly material due to the use of waste materials such as fly ash and blast furnace slag in their production. Authors of scientific studies have also very often given comparisons of geopolymers to traditional Portland cement-based concretes in terms of energy requirements and CO\u003csub\u003e2\u003c/sub\u003e emissions [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. At present, it seems that features such as the ability to use waste in production, lower energy consumption, and lower CO\u003csub\u003e2\u003c/sub\u003e emissions are no longer so attractive. There are many different types of low-carbon material solutions and binders, so geopolymers are no longer unbeatable in this area. However, it is important to note other features of geopolymers that allow them to be used in modern construction as advanced functional insulation materials. Of course, they should not be limited only to residential construction, but can also be successfully used in industrial insulation or insulation of industrial premises [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e, \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e, \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eGeopolymer foams are a topic of consideration for many researchers [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]. In addition to the synthesis of the foams themselves, the properties of the produced insulations are also key [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e, \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e]. The addition of PCM to geopolymers and geopolymer foams has been the subject of many scientific studies reported in the literature [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e, \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e]. The authors of many papers confirm that the addition of PCM materials contributes to improving the accumulation performance of building materials. PCM geopolymers have been an interesting material for construction applications for many years, but they require continuous development and advanced research, and the possibilities of their use and properties are presented in scientific papers [\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e, \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e]. The authors of the paper [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e] proved that the addition of PCM in the form of a composite of paraffin with expanded perlite to geopolymer concrete in the amount of 15 wt.% and 30 wt.% reduced the peak temperature in the test room by 1.85\u0026deg;C and 3.76\u0026deg;C, respectively, while increasing the heat capacity by 105% and 181%. Despite the reduction in mechanical properties of the geopolymer concrete with PCM, the tested geopolymer concrete containing PCM showed increased mechanical properties. A very interesting study on the issue of geopolymers with PCM was presented by the authors of the paper [\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e]. This is because they presented the results of a study related to the addition of innovative fatty acid-based PCMs encapsulated in polyurethane foam to geopolymers. The results of their study indicate that the prepared geopolymer mortar with the developed PU@PCM composite provides a suitable operating temperature range (10\u0026ndash;22\u0026deg;C) for the design of energy-efficient buildings with good energy storage capacity (ΔHf\u0026thinsp;=\u0026thinsp;164 J/g). Although the addition of PU@PCM caused a loss of compressive strength, the developed composites still meet the mechanical requirements for concrete applications, and the PU@PCM-rich composite reaches 29.5 MPa. In addition, the thermal performance study conducted shows that the incorporation of PU@PCM significantly improves the heat capacity and slightly reduces the thermal conductivity of the developed composites. A reduction in the mechanical strength of geopolymer composites due to the addition of PCM materials was also demonstrated by the authors of the paper [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e]. The authors of this work showed that micro-encapsulated PCMs (MPCMs), such as E-EVA and St-DVB, slightly reduced the compressive strength of geopolymers, but the composites still showed high strength compared to typical strength classes of ordinary concrete. It also proved that the workability of geopolymer concrete can remain within acceptable ranges when PCM materials are added in small amounts. In addition, there has been a significant increase in the heat capacity at the melting point of PCM geopolymer mortars and concretes, which can be used to save energy in buildings. The effect of PCM on the mechanical strength of autoclaved concretes was also studied by [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. The study produced a thermal backfill for mining applications based on autoclaved cellular concrete with the addition of phase change materials (AAC-PCM). A gradual decrease in the strength of the composite accumulation backfill with the addition of AAC-PCM was observed as the amount of PCM increased, but the decrease in strength gradually decreased. The maximum reduction in thermal conductivity was 30%, and the specific heat increased by about 31.4%. The authors proved that doping with a small amount of AAC-PCM can significantly improve the thermal capacity of backfill and has good strength for practical application in mines. The effect of PCM on reducing mechanical strength was also observed by the author of the paper [\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e]. The mechanical properties of mixtures with the addition of mPCM decreased as the PCM content increased. The reduction in compressive strength was up to 50% compared to the control sample. All studies conducted so far on geopolymer materials with PCM addition have shown that the addition of phase change materials significantly increases the heat capacity of such composites. Despite the reduction in mechanical properties, it is reasonable to increase the heat capacity and improve the insulating properties. Foamed geopolymer materials with the addition of PCM deserve special attention here. They have a real chance to replace popular insulating materials such as plastic foams, mineral wools, and polystyrene [\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e, \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e]. Tightening environmental requirements may help speed up the implementation of geopolymers as insulation materials on an industrial scale. To reduce CO\u003csub\u003e2\u003c/sub\u003e emissions by 55% by 2030, it is necessary to use sustainable and energy-efficient materials such as geopolymer concrete or geopolymer foams containing phase change materials (PCMs) in infrastructure development.\u003c/p\u003e \u003cp\u003eThis article presents comprehensive results on foamed geopolymer materials containing phase change materials. Foamed geopolymers have several favorable characteristics, such as high-temperature resistance, resistance to corrosive environments, high heat capacity, and low thermal conductivity. In addition, the use of phase change materials in the structure of foamed geopolymers contributes to increasing the heat capacity of the entire composite and makes such compositions suitable for use in many scientific fields. The article presents the results of testing foamed composites with the addition of 15 wt.% PCM in 3 variants. PCM was used both in the form of macrocapsules (granules and powder) and suspension of microcapsules in liquid. An analysis of the physical and chemical properties and very detailed results of the thermal properties of this type of material are presented, as well as an evaluation of its structure. Precise multi-criteria studies, as well as the pursuit of continuous development of these materials, seem inevitable to create an opportunity for them to be implemented in the construction industry. The research results presented in the following section of the paper bring new knowledge in the field of properties of geopolymer composites and phase change materials, and they have an undeniable impact on the development of disciplines dealing with the topic of sustainable and energy-efficient materials. The authors used an innovative approach, conducting detailed and advanced research.\u003c/p\u003e \u003cp\u003eThis article presents an innovative approach to combining low thermal conductivity materials with high heat capacity materials. By using foamed geopolymers doped with PCM materials, it is possible to achieve favorable insulating properties with additional increased heat capacity. The addition of phase change materials can increase the specific heat of such a composite without significantly degrading the insulating properties. This is very attractive from an application point of view, as the use of non-combustible insulation that can accumulate heat can bring huge benefits for mass-scale deployment. Phase-change materials are currently an innovative solution on the market, enabling significant levels of energy savings. Phase-change materials placed in a matrix of porous geopolymer insulation means that heat passing through the building envelope (penetrating) is additionally retained (captured) by the PCM material. After the partition cools down, this heat is given back, but due to the insulating nature of the partition, it does not enter the room in all its quantity but is blocked (insulated) by the porous structure of the matrix material. Such a solution is comprehensive and thermally efficient and guarantees thermal comfort in the rooms where it is used. A building envelope made with the participation of such a solution will not cause overheating of rooms and buildings. The solutions and research results described in this article undoubtedly represent an innovative approach to the use of PCM in building materials and can contribute to the significant development of such disciplines as civil engineering and materials engineering or related fields.\u003c/p\u003e"},{"header":"2 Materials and methods","content":"\u003cp\u003eThe base material of the geopolymer foams produced was fly ash from the Skawina Heat and Power Plant (CEZ Skawina S.A, Skawina, Poland). Concrete fly ash with certificate no: 1488-CPR-0166/W. According to the data from the document, the density of fly ash grains was 2210 kg/m\u003csup\u003e3\u003c/sup\u003e, the loss of roasting was in categories A and B, and the fineness of this material was classified in category N. This material has the highest content of silicon dioxide (SiO\u003csub\u003e2\u003c/sub\u003e) - about 50\u0026ndash;60 wt.% and more than half the content of diglin trioxide (Al\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e3\u003c/sub\u003e). This fly ash can also be called silica fly ash due to its high SiO\u003csub\u003e2\u003c/sub\u003e content. Siliceous fly ash is a fine-grained material with pozzolanic properties. It is obtained by mechanically or electrostatically precipitating ash from the waste gases of coal dust combustion in power boilers. Oxide analysis of fly ash was carried out by XRF fluorescence analysis, which was performed on a SCHIMADZU EDX-7200 (SHIMADZU Europa GmbH, Duisburg, Germany). The test was carried out in an air atmosphere with holders designed for bulk materials and Mylar film, and the results are shown in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. Mineral phase analysis, on the other hand, was carried out by XRD X-ray diffraction analysis on a PANalytical AERIS series instrument (Malvern PANalytical, Lelyweg 1, Almelo, The Netherlands) and is shown in Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e. Quantitative analysis was carried out using the Rietveld method, which was implemented in HighScore Plus software (version 4.8). The PDF-4\u0026thinsp;+\u0026thinsp;database of the International Center for Diffraction Data (ICDD) was used during the analysis. Measurements were recorded in the range of 10\u0026ndash;100\u0026deg; with a step of 0.003\u0026deg; (2θ) and a time per step of 340 s, using Cu Kα radiation.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eOxide analysis for fly ash.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"8\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003ePrecursor\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"6\" nameend=\"c7\" namest=\"c2\"\u003e \u003cp\u003eOxide Composition (wt.%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"1\" nameend=\"c8\" namest=\"c8\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003eSiO\u003c/b\u003e\u003csub\u003e\u003cb\u003e2\u003c/b\u003e\u003c/sub\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003eAl\u003c/b\u003e\u003csub\u003e\u003cb\u003e2\u003c/b\u003e\u003c/sub\u003e\u003cb\u003eO\u003c/b\u003e\u003csub\u003e\u003cb\u003e3\u003c/b\u003e\u003c/sub\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003eK\u003c/b\u003e\u003csub\u003e\u003cb\u003e2\u003c/b\u003e\u003c/sub\u003e\u003cb\u003eO\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cb\u003eFeO\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u003cb\u003eNa\u003c/b\u003e\u003csub\u003e\u003cb\u003e2\u003c/b\u003e\u003c/sub\u003e\u003cb\u003eO\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e\u003cb\u003eMgO\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFly ash\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e55.82\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e34.48\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e4.55\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.88\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.81\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e1.46\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eMineral phase analysis for fly ash.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e \u003cp\u003eFly ash\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eIdentified phase\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003eChemical formula\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003ePercentage share [wt.%]\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003eDatasheet number\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMullite\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAl\u003csub\u003e6\u003c/sub\u003eSi\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e13\u003c/sub\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e51.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e00-015-0776\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eQuartz\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSiO\u003csub\u003e2\u003c/sub\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e44.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e01-074-1811\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAnhydrite\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCaSO\u003csub\u003e4\u003c/sub\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e00-006-0226\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHematite\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eFe\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e3\u003c/sub\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e04-006-2616\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMagnetite\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eFe\u003csub\u003e3\u003c/sub\u003eO\u003csub\u003e4\u003c/sub\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e04-006-6550\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRutile\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTiO\u003csub\u003e2\u003c/sub\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e00-034-0180\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThree different organic paraffinic phase change materials were added to the geopolymer foams. It was decided to compare three types of phase change materials with different phase change temperatures ranging from 22 \u003csup\u003eo\u003c/sup\u003eC to 42 \u003csup\u003eo\u003c/sup\u003eC. Additionally, these materials differed in the form in which they appeared. The first was MikroCaps PCM 28 Slurry (MikroCaps, Slovenia), and phase change materials from Rubitherm (Rubitherm, Germany) - GR42 and PX25 - were also used. MikroCaps is a material in which microcapsules are placed in suspension, while the other two materials are macro capsules inside which a paraffinic phase-change material is placed. Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e shows the specifications of all the phase change additives used.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3\u003c/strong\u003e Technical parameters of PCMs used in geopolymer foams [41,42].\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003cbr\u003e\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eUsing an Anton-Paar PSA 1190LD laser analyzer (AntonPaar GmbH, Graz, Austria), particle size analysis was performed on all PCMs used in geopolymer foams. Wet analysis was performed for the MikroCaps additive (due to the nature of the material), while laser dry analysis was performed for the other components. Five test measurements were taken for each material, and then the mean and standard deviation were calculated using Kalliope Professional software (version 2.22.1). Particle size analysis was performed to see if the particle size of PCMs affects the properties studied in the next section of the article. Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e shows the results of the measurements.\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eParticle size analysis of PCMs.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"6\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMaterial\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eD\u003csub\u003e10\u003c/sub\u003e [\u0026micro;m]\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eD\u003csub\u003e50\u003c/sub\u003e [\u0026micro;m]\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eD\u003csub\u003e90\u003c/sub\u003e [\u0026micro;m]\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eAverage value [\u0026micro;m]\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eStandard deviation [\u0026micro;m]\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eMikroCaps\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.22\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5.79\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e9.36\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e6.20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.003\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eGR42\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e46.36\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e109.93\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e145.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e108.65\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.267\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003ePX25\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.96\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.56\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e23.51\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e12.74\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.096\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe hydraulic additive stabilizing the porous structure of the produced geopolymer foams was Portland cement with the trade name G\u0026oacute;rkal 70 (G\u0026oacute;rka Cement, Trzebinia). Syringaldehyde (Merck, Darmstadt, Germany) was used as a surfactant. Sand from the Świętochłowice Sand Plant (Świętochłowice, Poland) and ash microspheres, which are responsible for the formation of closed pores (TERMO-REX S.A., Jaworzno), were also used in the mixture. Both sand and microspheres constituted the filler in the geopolymer structure. The polycondensation reaction of the geopolymer was induced by adding a 10-mole alkaline solution of sodium silicate with sodium water glass. Sodium silicate R-145 with a molar modulus of 2.5 and a density of 1.45 g/cm\u003csup\u003e3\u003c/sup\u003e (ANSER Chemical Plant, Wiskitki, Poland) and flaked caustic soda (PCC Group, Brzeg Dolny, Poland) were used. The most important material for making geopolymer foams was 36% hydrogen peroxide H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e (Azoty Group, Puławy, Poland), and it was responsible for the formation of the porous geopolymer structure. To the geopolymer foams, 15 wt.% phase change materials were added, as described above. Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e shows the determinations of the samples produced and shows by weight the amount of components used in their production.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eCharacteristics of ready made samples with PCM.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"9\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eID\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eFly ash [wt.%]\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCement [wt.%]\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eSand\u003c/p\u003e \u003cp\u003e[wt.%]\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eMicrosphere [wt.%]\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eSurfactant [wt.%]\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003ePCM content [wt.%]\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003eH\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e\u003c/p\u003e \u003cp\u003e[wt.%]\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003e10M solution [wt.%]\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eR.F.A.\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e70\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.005\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.35\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003e15% MikroCaps\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e70\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.005\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.35\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003e15% GR42\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e70\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.005\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.40\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003e15% PX25\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e70\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.005\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.52\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1. Preparations of geopolymer foams\u003c/h2\u003e \u003cp\u003eFly ash, cement, sand, ash microspheres, and Syringaldehyde surfactant were mixed dry in an M/LMB-s laboratory mixer (GEOLAB, Warsaw, Poland) for about 5 minutes at 58 rpm until all ingredients were evenly mixed. Phase change additives GR42 and PX25 were mixed with the solid ingredients, and MikroCaps were added after mixing the solid ingredients. After mixing the dry geopolymer mixture and additives, an alkaline activator in the form of a 10 M sodium silicate solution with sodium water glass was introduced and mixed for another 10 minutes. When a dense mass was obtained, 36% hydrogen peroxide H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e was added. Once a homogeneous mass was obtained and the formation of a porous structure was initiated, the material was very quickly transferred to suitable molds (to prevent the foams from sagging) and then annealed at 60\u0026deg;C for 24 hours in an SLW 750 laboratory dryer (POL-EKO Perfect-Environment, Wodzisław Śląski, Poland). After 24 hours, the samples were unmolded. The samples for further testing were cubic cubes with dimensions of 10x10x10cm. A schematic of the manufacture of geopolymer foams with the addition of phase change materials is shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, while Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e shows the finished test samples (overview photo).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"3 Results and Discussion","content":"\u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e3.1 Tests of physical properties – density of ready made sample\u003c/h2\u003e \u003cp\u003eAs described above, 4 types of samples were made: a reference sample containing no PCM materials, and 3 samples with 15 wt.% phase change material. Each variant was performed 4 times. The results presented below are presented for all 4 samples from each variant due to the significant scatter in the results. Such discrepancies are common for foamed geopolymer samples. Each of the described samples was tested 6 times and the average results of the 6 measurements taken are presented.\u003c/p\u003e \u003cp\u003eThe density of the finished cubes was forfeited using the geometric method, based on the mass and volume of the samples - \u003cem\u003eρ\u003c/em\u003e\u003csub\u003e\u003cem\u003eb1\u003c/em\u003e\u003c/sub\u003e. The volume of the slabs was constant (10x10x10cm), but the mass varied slightly from sample to sample. The dimensions of the samples were measured using a laboratory caliper to the nearest 0.01 mm, and the weight of the samples was determined using a RADWAG PS 200/2000.R2 precision laboratory analytical balance to the nearest 0.01g.\u003c/p\u003e \u003cp\u003eKnowing the dimensions and mass of the samples, their volume density ρb1 was calculated from the simple relation (1):\u003c/p\u003e\u003cdiv id=\"Equ1\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ1\" name=\"EquationSource\"\u003e\n$${\\rho }_{b1}=\\frac{m}{V} \\left[\\frac{kg}{{m}^{3}}\\right]$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e1\u003c/div\u003e\u003c/div\u003e\u003cp\u003e\u003c/p\u003e \u003cp\u003ewhere: m - mass, V - volume.\u003c/p\u003e \u003cp\u003eThe average density values \u003cem\u003eρ\u003c/em\u003e\u003csub\u003e\u003cem\u003eb1\u003c/em\u003e\u003c/sub\u003e of the tested geopolymers, are summarized in Table\u0026nbsp;\u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e6\u003c/span\u003e. Based on 8 measurement results for each variant of the samples, the average value was also calculated to better illustrate the relationship between the content of phase change materials and density.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab6\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 6\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eCalculated values of density \u003cem\u003eρ\u003c/em\u003e\u003csub\u003e\u003cem\u003eb1\u003c/em\u003e\u003c/sub\u003e of the tested samples.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"5\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDesignation of samples\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eR.F.A.\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e15% MikroCaps\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e15% GR42\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e15% PX25\u003c/p\u003e \u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eρ\u003c/em\u003e\u003csub\u003e\u003cem\u003eb1\u003c/em\u003e\u003c/sub\u003e [kg/m3]\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e422,5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e399\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e406\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e419,5\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e \u003cp\u003e\u003c/p\u003e \u003cp\u003eFrom the above measurement data, it can be seen that each phase-change additive caused a decrease in density. 15 wt.% MikroCaps caused a 6% decrease in density, and this was the largest change. The 15 wt.% GR42 additive decreased density by 4%, and 15 wt.% PX25 decreased density by only 1%. The decrease in density in all cases is not large, but significant since phase change additives in such content should increase the density of the samples tested. The decrease in density can be caused by inaccurate mixing of the ingredients during the manufacture of the samples or failure to react with all the ingredients. The decrease may also be because the consistency of the mixture has changed as a result of the addition of the phase-change materials, and despite the addition of a higher-density material to the foamed geopolymer mixture, a structure with a higher degree of foaming has been obtained.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e3.2 Tests of physical properties – porosity of ready made sample\u003c/h2\u003e \u003cp\u003ePorosity tests were performed on a GE Phoenix v|tomex|m (General Electric Company, Hürth, Germany) with a microfocus lamp using a cone beam. Each sample was scanned with the same scanning parameters − 120 kV at a lamp intensity of 350 µA. A copper filter with a constant thickness of 1 mm was used for the tests. The measurement was carried out with an accuracy at which the dimension of the voxel was equivalent to 30 µm. A calibration procedure was carried out according to the manufacturer's recommendations. A single study involved the taking of 2,500 images. A single examination lasted about 60 minutes. During the examination, the module was activated to exclude the influence of a defect in a single detector pixel, as well as an auto-sco function to optimize the geometry. For safety reasons, radiation levels were monitored during and after the study. Since this research should only be considered complementary, only 2 (25x25x25mm) samples were tested (due to the high cost of the test). It was decided to conduct tests only for samples containing PCM materials in two variants: PCM in the form of MikroCaps suspension and one variant for PCM in the form of macrocapsules - GR42. The porosity of the sample with 15 wt.% MikroCaps and 15 wt.% GR42 was checked, and the results are shown in Table\u0026nbsp;\u003cspan refid=\"Tab7\" class=\"InternalRef\"\u003e7\u003c/span\u003e. Figures\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e and \u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e show scans of the samples taken with the CT scanner described above. The large region is shown in blue, while the small closed region is shown in red. Both of these regions were used to calculate the porosity, which is shown in the table below.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab7\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 7\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003ePorosity of samples with PCM addition.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"3\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eID\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePorosity on large region/visualization of pores [%]\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePorosity on small closed region [%]\u003c/p\u003e \u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003e15% MikroCaps\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e51\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e66\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003e15% GR42\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e48\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e81\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e \u003cp\u003e\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThe higher porosity on the large region was from the sample with 15 wt.% MikroCaps − 51%, while on the small closed region, the higher porosity was from the sample with 15 wt.% GR42–81%. A more authoritative result is the one from the small closed region, so the higher porosity was obtained by the sample with 15 wt.% GR42, which is confirmed by the above scans.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003e3.3 Tests of chemical properties – water leachability of ready made sample\u003c/h2\u003e \u003cp\u003eThe next tests that were performed for the prepared samples were leachability tests, which were commissioned by AP Geotechnika (Siemianowice Śląskie, Poland). The AP Geotechnika laboratory provides services in testing the physical and chemical characteristics of aggregates (including anthropogenic), industrial waste, soils, soil-soil mixtures, and construction materials. For testing, 500g of powder of each sample was prepared (the samples were crushed on a ball drum mill - model C20-ABLA-1/ manufacturer ATEST, Kielce, Poland), which was then tested, and the results are shown in Table\u0026nbsp;\u003cspan refid=\"Tab9\" class=\"InternalRef\"\u003e9\u003c/span\u003e. Table\u0026nbsp;\u003cspan refid=\"Tab9\" class=\"InternalRef\"\u003e9\u003c/span\u003e shows the results of testing the concentrations of harmful substances, along with the limit values. In addition, the pH of the tested samples and chromium (VI) were also determined. Metals, chlorides, fluorides, sulfates, heavy metals, and chromium (VI) in the leachate were tested according to ISO 17025 by the laboratory's internal methods. Moisture content, dissolved solids (TDS), and dissolved organic carbon in the leachate were tested by non-accredited in-house methods. All harmful substances described so far were determined wet, while pH in the leachate was determined for a dry sample.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab8\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 8\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eThe results of testing the concentrations of harmful substances with the limit values for all samples.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"8\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e \u003cp\u003ePermissible leaching limits*)\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eR.F.A.\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003e15% MikroCaps\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e15% GR42\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003e15% PX25\u003c/p\u003e \u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eliquid/solid phase = 10 l/kg [mg/kg dry weight] baseline test\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003emg/kg\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003emg/kg\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003emg/kg\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003emg/kg\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eComponent\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003eCRITERIA FOR ALLOWING INERT WASTE TO BE DEPOSITED IN AN INERT WASTE LANDFILL\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003eCRITERIA FOR ALLOWING HAZARDOUS WASTE TO BE DISPOSED OF IN A HAZARDOUS WASTE LANDFILL\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003eCRITERIA FOR ALLOWING NON-HAZARDOUS AND INERT WASTE TO BE DEPOSITED IN A LANDFILL FOR NON-HAZARDOUS AND INERT WASTE\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eArsen (As)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e0.5\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e25\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e2\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e7.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e5.1\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e5.2\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e6.5\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eBar (Ba)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e20\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e300\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e100\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.20\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.23\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.21\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eCadmium (Cd)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e0.04\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e5\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e1\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt; 0.0020\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; 0.0020\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; 0.0020\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.0038\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTotal chromium (Cr)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e0.5\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e70\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e10\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.28\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.21\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.31\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.28\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eCopper (Cu)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e2\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e100\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e50\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.28\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.33\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.28\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eMercury (Hg)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e0.01\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e2\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.2\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt; 0.010\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; 0.010\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; 0.010\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt; 0.010\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eMolybdenum (Mo)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e0.5\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e30\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e10\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e3.5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.7\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.6\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e2.1\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eNickel (Ni)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e0.4\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e40\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e10\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.051\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.087\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.054\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.062\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eLead (Pb)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e0.5\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e50\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e10\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.028\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt; 0.020\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.043\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.038\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eAntimony (Sb)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e0.06\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e5\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.7\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.24\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt; 0.020\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.25\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eSelen (Se)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e0.1\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e7\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.5\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.7\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.3\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.3\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.2\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eZinc (Zn)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e4\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e200\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e50\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.23\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.20\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.24\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eChlorides (Cl-)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e800\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e25 000\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e15 000\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e250\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e230\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e250\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e190\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eFluorides (F-)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e10\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e500\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e150\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e40\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e36\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e36\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e51\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eSulfates (SO42-)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e1 000\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e50 000\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e20 000\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e4 100\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e4 200\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e3 500\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e3 800\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eDissolved organic carbon (DOC)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e500\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e1 000\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e800\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e2 700\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3 300\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e3 000\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1 200\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eDissolved solids (TDS)**)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e4 000\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e100 000\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e60 000\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e48 000\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e53 000\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e45 000\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e62 000\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eChromium\u003c/b\u003e \u003csup\u003e\u003cb\u003e6+\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e38\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e41\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e48\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e55\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003epH\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e11.5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e11.1\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e11.6\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e10.8\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e \u003cp\u003e\u003c/p\u003e \u003cp\u003e*) Permissible leaching limits for waste disposed of in landfills equipped with leachate collection systems subsequently directed to wastewater treatment plants. except for DOC and TDS components, which are considered to be met for values higher than those specified in the table. **) Values for dissolved solid compounds (TDS) can be used interchangeably for sulfate and chloride values.\u003c/p\u003e \u003cp\u003eThe above table shows the permissible leaching limits. Fly ash, which is the base material of the samples made, belongs to inert waste. When alkaline solutions are added to the geopolymer mixture, the produced product should be treated as hazardous waste. According to the criteria for allowing hazardous waste to be disposed of in hazardous waste landfills - all tested samples have lower permissible values of all elements listed in the table (according to hazardous waste). As for the pH of the tested samples, each of them showed an alkaline pH, due to activation of the polycondensation process with an alkaline solution of NaOH. In Poland, all waste must be stored due to the storage criteria described in the table. This test was conducted to confirm that the materials produced do not pose a threat to the environment. Exceeding leachability levels for materials classified as inert is the result of the use of alkaline activators, in the presence of which heavy metals and other elements leach from the fly ash.\u003c/p\u003e \u003cp\u003e \u003cb\u003e3.4 Tests of thermal properties – thermal conductivity λ, volumetric heat capacity C\u003c/b\u003e \u003csub\u003e \u003cb\u003ev\u003c/b\u003e \u003c/sub\u003e, \u003cb\u003especific heat C\u003c/b\u003e\u003csub\u003e\u003cb\u003ep\u003c/b\u003e,\u003c/sub\u003e \u003cb\u003eand thermal diffusivity\u003c/b\u003e \u003cb\u003ea\u003c/b\u003e\u003c/p\u003e \u003cp\u003eThe thermal tests were carried out at the Department of Civil Engineering, Mechanics and Petrochemistry of Warsaw University of Technology in Plock, Poland (Warsaw University of Technology, Płock, Poland). Six measurements were made for each sample using an Isomet 2114 (ASTM standard D5334-08), a commercial microprocessor-controlled device with interchangeable probes. A known heat source produced a radially propagating wave in the sample. Power dissipation generates heat flow through the probes in direct contact with the material, and a serial port (RS-232C protocol) records the signal. Semiconductor sensors at specific points on the materials sample the change in temperature as a function of time: the temperature increases linearly with the logarithm of time. The device has a wide measurement range and can be used for insulation and construction materials, among other things. The measurement range depends on the probe used and includes λ values from 0.015 to 6.0 W/(m*K) and \u003cem\u003eCv\u003c/em\u003e values from 0.04 to 3 MJ/(m3*K). The measurement accuracy for the above ranges of thermal conductivity and specific heat by volume is 5%. The meter has two optional types of probes: needle probes for soft materials and surface probes for hard materials. Measurement data can be stored in the device's internal memory or exported to a computer. In the experiment presented here, a surface probe was used. The device analyzes temperature changes that result from the response of the material under test to the flow of thermal pulses. These changes are measured by interchangeable probes that are connected to a meter, which is in turn connected to a computer that records the results. During the measurement, the amount of heat generated by the device is known, and the heat propagates radially through the sample. The temperature rise of the sample varies linearly with the logarithm of time. This relationship makes it possible to directly obtain the thermal conductivity of the material under test.\u003c/p\u003e \u003cp\u003eAccording to the second law of thermodynamics, the thermal conductivity (λ) was determined by Eq.\u0026nbsp;(\u003cspan refid=\"Equ2\" class=\"InternalRef\"\u003e3\u003c/span\u003e):\u003c/p\u003e\u003cdiv id=\"Equ2\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ2\" name=\"EquationSource\"\u003e\n$${\\lambda }=\\frac{\\text{Q}\\text{d}}{\\text{A}\\varDelta \\text{T}}\\left[\\frac{\\text{W}}{\\text{m}\\text{*}\\text{K}}\\right]$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e3\u003c/div\u003e\u003c/div\u003e\u003cp\u003e\u003c/p\u003e \u003cp\u003ewhere: Q - amount of heat transferred, d - distance between two isotherms, A - area, ∆T - temperature gradient.\u003c/p\u003e \u003cp\u003eVolumetric heat capacity \u003cem\u003eCv\u003c/em\u003e is the ability of a material to accumulate heat, expressed in terms of the amount of heat needed to heat 1m\u003csup\u003e3\u003c/sup\u003e of material by 1K. The value of \u003cem\u003eCv\u003c/em\u003e is calculated according to formula (4):\u003c/p\u003e\u003cdiv id=\"Equ3\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ3\" name=\"EquationSource\"\u003e\n$${\\text{C}}_{v}=\\frac{\\text{Q}}{{\\text{V}}_{c}\\varDelta \\text{T}}={C}_{p}*{p}_{b1}\\left[\\frac{\\text{k}\\text{J}}{{\\text{m}}^{3}\\text{*}\\text{K}}\\right]$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e4\u003c/div\u003e\u003c/div\u003e\u003cp\u003e\u003c/p\u003e \u003cp\u003ewhere: Q - amount of heat transferred, Vc - volume, ∆T - temperature gradient, \u003cem\u003eCp\u003c/em\u003e - specific heat, \u003cem\u003ep\u003c/em\u003e\u003csub\u003e\u003cem\u003eb1\u003c/em\u003e\u003c/sub\u003e - density.\u003c/p\u003e \u003cp\u003eSpecific heat capacity (\u003cem\u003eCp\u003c/em\u003e)/specific heat is the heat required to increase the temperature of 1 g of a substance by 1 K and is given by (5):\u003c/p\u003e\u003cdiv id=\"Equ4\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ4\" name=\"EquationSource\"\u003e\n$${\\text{C}}_{p}=\\frac{\\text{Q}}{m\\varDelta \\text{T}}=\\left[\\frac{\\text{J}}{\\text{k}\\text{g}\\text{*}\\text{K}}\\right]$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e5\u003c/div\u003e\u003c/div\u003e\u003cp\u003e\u003c/p\u003e \u003cp\u003ewhere: Q - amount of heat transferred, m - mass, ∆T - temperature gradient.\u003c/p\u003e \u003cp\u003eThermal diffusivity (\u003cem\u003ea\u003c/em\u003e) quantifies the rate of heat transfer of a material from the hot side to the cold side and was calculated using Eq.\u0026nbsp;(\u003cspan refid=\"Equ5\" class=\"InternalRef\"\u003e6\u003c/span\u003e):\u003c/p\u003e\u003cdiv id=\"Equ5\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ5\" name=\"EquationSource\"\u003e\n$$\\alpha =\\frac{{\\lambda }}{{p}_{b1}{\\text{C}}_{p}}=\\left[\\frac{{\\text{m}\\text{m}}^{2}}{\\text{s}\\text{e}\\text{c}}\\right]$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e6\u003c/div\u003e\u003c/div\u003e\u003cp\u003e\u003c/p\u003e \u003cp\u003ewhere: λ - thermal conductivity, \u003cem\u003ep\u003c/em\u003e\u003csub\u003e\u003cem\u003eb1\u003c/em\u003e\u003c/sub\u003e - density, \u003cem\u003eCp\u003c/em\u003e - specific heat.\u003c/p\u003e \u003cp\u003eThermal measurements were performed on all modified samples measuring: thermal conductivity \u003cem\u003eλ\u003c/em\u003e, volumetric heat capacity \u003cem\u003eCv\u003c/em\u003e, and thermal diffusivity \u003cem\u003ea\u003c/em\u003e, always performing 6 measurement series. The specific heat \u003cem\u003eCp\u003c/em\u003e, expressed in units of J/(kg·K), was obtained by dividing the measured volumetric heat capacity \u003cem\u003eCv\u003c/em\u003e by the volumetric density of the material \u003cem\u003eρ\u003c/em\u003e\u003csub\u003e\u003cem\u003eb1\u003c/em\u003e\u003c/sub\u003e.\u003c/p\u003e \u003cp\u003eThe measurement data above represent 4 measurements for a given sample variant (R.F.A, 15 wt.% MikroCaps, 15 wt.% GR42, 15 wt.% PX25). Based on the average values was \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\((\\stackrel{-}{X)}\\)\u003c/span\u003e\u003c/span\u003efrom the table, the average value was calculated for the 4 sample variants and is shown in Table\u0026nbsp;\u003cspan refid=\"Tab9\" class=\"InternalRef\"\u003e9\u003c/span\u003e to better illustrate the percentage differences between the composites.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab9\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 9\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eAverage values of thermal parameters for all samples.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"5\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eID\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colspan=\"4\" nameend=\"c5\" namest=\"c2\"\u003e \u003cp\u003eThermal properties of sample with PCM\u003c/p\u003e \u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003eλ\u003c/em\u003e\u003c/p\u003e \u003cp\u003e[W/(m·K)]\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cem\u003eC\u003c/em\u003e\u003csub\u003e\u003cem\u003ev\u003c/em\u003e\u003c/sub\u003e [MJ/(m\u003csup\u003e3\u003c/sup\u003e·K)]\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cem\u003eC\u003c/em\u003e\u003csub\u003e\u003cem\u003ep\u003c/em\u003e\u003c/sub\u003e\u003c/p\u003e \u003cp\u003e[J/(kg·K)]\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cem\u003ea\u003c/em\u003e\u003c/p\u003e \u003cp\u003e[mm\u003csup\u003e2\u003c/sup\u003e/s]\u003c/p\u003e \u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eR.F.A.\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.0839\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.4900\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1182.7\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.1703\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e15% MikroCaps\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.0838\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.6914\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1717.6\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.1318\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e15% GR42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.0802\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.5544\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1402.3\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.1462\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e15% PX25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.0911\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.6888\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1705.8\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.1358\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e \u003cp\u003e\u003c/p\u003e \u003cp\u003eWhen the standard deviation of a random variable X is unknown, the distribution of the sample mean \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\stackrel{-}{X }\\)\u003c/span\u003e\u003c/span\u003eis very well approximated by a Student's t-distribution. If the random variable under study has an N(µ, \u003cem\u003eσ\u003c/em\u003e) distribution and the standard deviation is not known, we build a confidence interval using a t-Student distribution with a probability density expressed by formula (7), where Γ(x), is the Euler gamma function:\u003c/p\u003e\u003cdiv id=\"Equ6\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ6\" name=\"EquationSource\"\u003e\n$$f\\left(t, n\\right)=\\frac{\\varGamma \\left(\\frac{n+1}{2}\\right)}{\\varGamma \\left(\\frac{n}{2}\\right)\\sqrt{n\\pi }}{\\left(1+\\frac{{t}^{2}}{n}\\right)}^{-\\frac{n+1}{2}}$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e7\u003c/div\u003e\u003c/div\u003e\u003cp\u003e\u003c/p\u003e \u003cp\u003eAfter transformations, we finally get (8):\u003c/p\u003e\u003cdiv id=\"Equ7\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ7\" name=\"EquationSource\"\u003e\n$$P\\left(\\stackrel{-}{X}{-t}_{n-1; /2}\\frac{s}{\\sqrt{n}}\\le \\mu \\le \\stackrel{-}{X}+{t}_{n-1; /2}\\frac{s}{\\sqrt{n}}\\right)=1-\\alpha$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e8\u003c/div\u003e\u003c/div\u003e\u003cp\u003e\u003c/p\u003e \u003cp\u003ewhere: \u003cem\u003ea\u003c/em\u003e is the assumed significance level and 1 - \u003cem\u003ea\u003c/em\u003e is the confidence level.\u003c/p\u003e \u003cp\u003eWith the results of \u003cem\u003en\u003c/em\u003e measurements, parameters such as the mean \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\stackrel{-}{X }\\)\u003c/span\u003e\u003c/span\u003eand standard deviation \u003cem\u003es\u003c/em\u003e calculated from the sample were determined. The ranges in which the actual measured values of thermal conductivity \u003cem\u003eλ\u003c/em\u003e, specific heat \u003cem\u003eCp\u003c/em\u003e, and thermal diffusivity \u003cem\u003ea\u003c/em\u003e are located, with a specified probability, were estimated. An assessment of measurement uncertainty based on the Student's t-distribution was used for all measurements carried out. Based on statistical calculations, with an assumed confidence level of 95%, the confidence intervals of the measured thermal properties were determined. With a probability close to unity, the sought-after values of the thermal parameters (\u003cem\u003eλ\u003c/em\u003e, \u003cem\u003eCp\u003c/em\u003e, \u003cem\u003ea\u003c/em\u003e) of the modified geopolymers are within the ranges shown in Table\u0026nbsp;\u003cspan refid=\"Tab10\" class=\"InternalRef\"\u003e10\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab10\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 10\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eCalculated confidence intervals of measured thermal properties of modified geopolymer materials.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"2\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTest sample\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eDetermined confidence intervals\u003c/p\u003e \u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eR.F.A.\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eP (0.0837 ≤ \u003cem\u003eλ\u003c/em\u003e ≤ 0.0840) = 0.95\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eP (1178.6 ≤ \u003cem\u003eC\u003c/em\u003e\u003csub\u003e\u003cem\u003ep\u003c/em\u003e\u003c/sub\u003e ≤ 1186.5) = 0.95\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eP (0.1697 ≤ \u003cem\u003ea\u003c/em\u003e ≤ 0.1708) = 0.95\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e15% MikroCaps\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eP (0.0741 ≤ \u003cem\u003eλ\u003c/em\u003e ≤ 0.0933) = 0.95\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eP (1647.5 ≤ \u003cem\u003eC\u003c/em\u003e\u003csub\u003e\u003cem\u003ep\u003c/em\u003e\u003c/sub\u003e ≤ 1787.6) = 0.95\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eP (0.1214 ≤ \u003cem\u003ea\u003c/em\u003e ≤ 0.1421) = 0.95\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e15% GR42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eP (0.07947 ≤ \u003cem\u003eλ\u003c/em\u003e ≤ 0.0809) = 0.95\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eP (1396.3 ≤ \u003cem\u003eC\u003c/em\u003e\u003csub\u003e\u003cem\u003ep\u003c/em\u003e\u003c/sub\u003e ≤ 1408.3) = 0.95\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eP (0.1455 ≤ \u003cem\u003ea\u003c/em\u003e ≤ 0.1468) = 0.95\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e15% PX25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eP (0.0900 ≤ \u003cem\u003eλ\u003c/em\u003e ≤ 0.0922) = 0.95\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eP (1682.5 ≤ \u003cem\u003eC\u003c/em\u003e\u003csub\u003e\u003cem\u003ep\u003c/em\u003e\u003c/sub\u003e ≤ 1729,2) = 0.95\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eP (0.1328 ≤ \u003cem\u003ea\u003c/em\u003e ≤ 0.1388) = 0.95\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e \u003cp\u003e\u003c/p\u003e \u003cp\u003eAnalyzing Table\u0026nbsp;\u003cspan refid=\"Tab10\" class=\"InternalRef\"\u003e10\u003c/span\u003e, the thermal conductivity of all samples oscillated at the same level of 0.08 W/m*K. The thermal conductivity for the 15 wt.% MikroCaps sample decreased by 0.1%, for the 15 wt.% GR42 sample it decreased by 4%, while for the 15 wt.% PX25 sample, it increased by 9%. All thermal conductivity values are very low, even though that the thickness of these samples is as much as 10 cm. The volumetric heat capacity for each sample with PCM increased significantly, a very welcome effect. The largest increase was observed for the sample with 15 wt.% MikroCaps - a 41% increase. \u003cem\u003eCv\u003c/em\u003e for the sample with 15 wt.% GR42 increased by 13%, and for the sample with 15 wt.% PX25 also increased by 41%. As for specific heat, again all samples with PCM had a higher \u003cem\u003eCp\u003c/em\u003e value than the reference sample. The \u003cem\u003eCp\u003c/em\u003e of the sample with 15 wt.% MikroCaps increased by 45%, that of the sample with 15 wt.% GR42 increased by 19%, and that of the sample with 15 wt.% PX25 increased by 44%. The last parameter analyzed was the thermal diffusivity coefficient \u003cem\u003ea\u003c/em\u003e. The coefficient \u003cem\u003ea\u003c/em\u003e indicates the rate at which temperature changes from one plane to another, i.e. the susceptibility of the material to temperature equalization during heating or cooling at specific locations. The \u003cem\u003ea\u003c/em\u003e coefficient should be as low as possible because then there is greater susceptibility of the material to temperature equalization. All samples with PCM had a lower \u003cem\u003ea\u003c/em\u003e than the reference sample. For the sample with 15 wt.% MikroCaps, the thermal diffusivity decreased by 23%, for the sample with 15 wt.% GR42 - by 14%, and for the sample with 15 wt.% PX25 it decreased by 20%. All parameters that should improve with the addition of PCMs received very favorable results, so all tests confirmed the essence of the performance of phase change materials in geopolymer foams. All samples obtained the same confidence level − 95%. This means that 95% of the measurement result belongs to the real range.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003e3.5 Visual porosity assessment of ready made samples with PCMs\u003c/h2\u003e \u003cp\u003eImage analysis of the fabricated PCM geopolymer foams was performed on a Keyence VHX-7000 digital optical microscope (KEYENCE INTERNATIONAL, Mechelen, Belgium). Photographs of the porous structures of the material were taken using the 3D function and are shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e. A magnification of 20× was used for each sample. The marker in the figures corresponds to 2000 µm.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eAnalysis of the structure by digital optical microscopy made it possible to determine the size of the pores and their qualitative contribution. All images show the macropores of the structures produced. They are mainly closed pores. It was observed that the reference ash sample was characterized by medium-sized pores with high heterogeneity. Pores of 1000–3000 µm were observed in the reference sample. The sample with 15 wt. % MikroCaps had very fine and homogeneous pores of 500–1000 µm. The pores of the sample with GR42 additive are slightly larger than the sample with 15 wt.% MikroCaps and are quite heterogeneous, with a size of 750–1500 µm. The addition of PX25 made the pores homogeneous and similar in size around 1500–3500 µm, with an average size of 2000 µm. Based on the results of the study, it can be concluded that the particle size of the phase change materials used in the study has a significant effect on porosity. The average particle size of the MikroCaps additive resulted in the formation of fine and homogeneous pores. With a slightly larger particle size than MikroCaps - PX25 obtained medium-sized homogeneous pores. The large particle size of the GR42 additive made the pores quite heterogeneous and of different sizes.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003e3.6 Microstructure of ready made samples\u003c/h2\u003e \u003cp\u003eA JEOL IT200 SEM scanning microscope (JEOL, Akishima, Tokyo, Japan) was used to take images of the microstructure of the finished geopolymer foams. Figure\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e6\u003c/span\u003e shows the morphology of geopolymer structures with the addition of phase change materials. The photos were taken at various magnifications to illustrate the porosity and phase change additives contained in the samples.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThe SEM image above shows the porous and amorphous structure of pure fly ash-based geopolymer and samples with phase change materials added. The arrows indicate undissolved ash particles and show unbound sodium particles and paraffin PCM additives, which are visible at high magnification. Paraffin binds very well to the geopolymer matrix, as evidenced by the above illustrations.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003e3.7 Discussion\u003c/h2\u003e \u003cp\u003eIn this article, a series of comprehensive studies analyzing samples of 15 wt.% phase change material were conducted. The article presents studies of physical properties, chemical properties, extensive studies of thermal properties (to check the real performance of these composites), and complementary qualitative studies of the structure. In the \u003cspan refid=\"Sec10\" class=\"InternalRef\"\u003ediscussion\u003c/span\u003e section, the authors will analyze the most relevant relationships.\u003c/p\u003e \u003cp\u003eFrom the above measurement data, it can be seen that each phase-change additive caused a decrease in density. 15 wt.% MicroCaps caused a 6% decrease in density and this was the largest change. The 15 wt.% GR42 additive decreased density by 4%, and 15 wt.% PX25 decreased density by only 1%. The decrease in density in all cases is not large, but significant since phase change additives in such content should increase the density of the samples tested. The decrease in density can be caused by inaccurate mixing of the ingredients during the manufacture of the samples or failure to react with all the ingredients. The decrease may also be because the consistency of the mixture changed due to the addition of phase change materials, and despite the addition of a higher density material to the foamed geopolymer mixture, a structure with a higher degree of foaming was obtained. In the work of other authors, it was observed that the decrease in density is closely related to the porosity of the geopolymer structure and the size of the pores. As the porosity increases, a decrease in the roundness of the voids is observed [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e, \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e]. In this work, the porosity of two samples of 15 wt.% MicroCaps and 15 wt.% GR42 was studied. The sample with 15 wt.% GR42 had a higher porosity of 81%. The high porosity of this sample caused the pores to be much less rounded and homogeneous than those of the MicroCaps sample (the porosity of this sample was lower, and the pores were more homogeneous and had similar shapes and sizes). The formation of more fine voids is mainly responsible for the reduced density in these samples [\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e, \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e]. This finding is confirmed by the present work. The largest decrease in density was observed for the MicroCaps sample, which was characterized by very fine pores. For the sample with 15 wt.% GR42, the pores were slightly larger than those of the MicroCaps sample, resulting in a smaller decrease in density. The smallest decrease in density was observed for the sample with PX25 - only 1%. The pores of this sample were quite large and there were far fewer of them than in the previous two cases. Porosity is also related to the size of the introduced additive. Individual microcapsules of small size (3–10 µm) can fill the voids between aggregates, leading to a reduction in porosity [\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e, \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e]. The porosity of the sample with MicroCaps was lower than that of GR42, and the particle size of this additive was small and within the range stated above (6 µm), making the porosity decrease compared to GR42.\u003c/p\u003e \u003cp\u003eThe thermal conductivity of all samples oscillated at the same level of 0.08 W/m*K. The thermal conductivity of the 15 wt.% MicroCaps sample decreased by 0.1%, that of the 15 wt.% GR42 sample decreased by 4%, while that of the 15 wt.% PX25 sample increased by 9%. All thermal conductivity values are very low, even though the thickness of these samples is as much as 10 cm. The reduction in conductivity is an indirect effect since the addition of PCM alone does not reduce the thermal conductivity coefficient. The increase in thermal conductivity is determined by a reduction in the porosity of the insulating material [\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e, \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e]. Thermal conductivity for similar unconventional natural raw materials ranges from 0.06 to 0.1 W/m*K [\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e, \u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e], which is in close agreement with measured values. The largest increase in conductivity was observed for the PX25 sample, which had the largest pores, making its porosity shown in digital optical microscope images the lowest. The volumetric heat capacity for each PCM sample increased significantly, which is a very desirable effect. The largest increase was observed for the sample with 15 wt.% MicroCaps - a 41% increase. Cv for the sample with 15 wt.% GR42 increased by 13%, and for the sample with 15 wt.% PX25, it also increased by 41%. Other authors of articles have also shown that the addition of PCM in large quantities increases the heat capacity [\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e, \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e]. As for specific heat, again all samples with PCM had a higher Cp value than the reference sample. The Cp of the sample with 15 wt.% MicroCaps increased by 45%, the sample with 15 wt.% GR42 increased by 19%, and the sample with 15 wt.% PX25 increased by 44%. The authors of papers [\u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e, \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e] observed that the higher the PCM content, the better the specific heat results. The PCM-containing geopolymers showed lower thermal conductivity, slower heating and cooling, and maintained room temperature while reducing temperature fluctuations. In this paper, the addition of PCM also increased the specific heat. The last parameter analyzed was the thermal diffusivity coefficient a. All samples with PCM had a lower coefficient a than the reference sample. For the sample with 15 wt.% MicroCaps, the thermal diffusivity decreased by 23%, for the sample with 15 wt.% GR42 - by 14%, and for the sample with 15 wt.% PX25, it decreased by 20%. Other researchers have also shown that the thermal diffusivity of PCMs is low [\u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e, \u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e]. All parameters that should improve with the addition of PCMs received very favorable results, so all tests confirmed the essence of phase change materials in geopolymer foams. All samples obtained the same confidence level − 95%. This means that 95% of the measurement result belongs to the real range.\u003c/p\u003e "},{"header":"Conclusions","content":"\u003cp\u003eBased on the above discussion of the research results, several conclusions can be drawn to summarize the research work:\u003c/p\u003e\u003col style=\"list-style-type:upper-roman;\"\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eThe reference ash sample had the highest density among all geopolymer foams − 423 kg/m\u003csup\u003e3\u003c/sup\u003e. Each phase change additive caused a decrease in density. 15 wt.% MikroCaps caused a 6% decrease in density, and this was the largest change. The 15 wt.% GR42 additive reduced density by 4%, and 15 wt.% PX25 reduced density by only 1%. The decrease in density could be due to inaccurate mixing of the ingredients during sample manufacture or failure to react with all the ingredients.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eThe higher porosity on the large region was the sample with 15 wt.% MikroCaps − 51%, while on the small closed region, the higher porosity was the sample with 15 wt.% GR42–81%. A more meaningful result is the one from the small closed region, so the higher porosity was obtained by the sample with 15 wt.% GR42.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eFly ash belongs to inert waste. When alkaline solutions are added to the geopolymer mixture, the produced product should be treated as hazardous waste. All tested samples have lower permissible values of all elements listed in the table (according to hazardous waste). As for the pH of the tested samples, each of them showed an alkaline pH, due to the activation of the polycondensation process with an alkaline solution of NaOH.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eThe thermal conductivity of all samples oscillated at the same level of 0.08 W/m*K. The thermal conductivity for the 15 wt.% MikroCaps sample decreased by 0.1%, for the 15 wt.% GR42 sample it decreased by 4%, while for the 15 wt.% PX25 sample, it increased by 9%. All the thermal conductivity values are very low, even though the thickness of these samples is as much as 10 cm.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eThe volumetric heat capacity for each sample with PCM increased significantly, a very welcome effect. The largest increase was observed for the sample with 15 wt.% MikroCaps - a 41% increase. \u003cem\u003eCv\u003c/em\u003e for the sample with 15 wt.% GR42 increased by 13%, and for the sample with 15 wt.% PX25, it also increased by 41%.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eAll samples with PCM had a higher \u003cem\u003eCp\u003c/em\u003e value than the reference sample. The \u003cem\u003eCp\u003c/em\u003e of the sample with 15 wt.% MikroCaps increased by 45%, the sample with 15 wt.% GR42 increased by 19%, and the sample with 15 wt.% PX25 increased by 44%.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eThe coefficient of \u003cem\u003ea\u003c/em\u003e should be as low as possible because then there is greater susceptibility of the material to temperature equilibration. All samples with PCM had a lower \u003cem\u003ea\u003c/em\u003e ratio than the reference sample. For the sample with 15 wt.% MikroCaps, the thermal diffusivity decreased by 23%, for the sample with 15 wt.% GR42 - by 14%, and for the sample with 15 wt.% PX25, it decreased by 20%.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eAll parameters that should improve with the addition of PCMs received very favorable results, so all tests confirmed the essence of the performance of phase change materials in geopolymer foams. All samples obtained the same confidence level − 95%. This means that 95% of the measurement result belongs to the real range.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003c/ol\u003e\u003cp\u003eBased on the results of the study, it can be concluded that the particle size of the phase change materials used in the study has a significant effect on porosity. The average particle size of the MikroCaps additive resulted in the formation of fine and homogeneous pores. With a slightly larger particle size than MikroCaps - PX25 obtained medium-sized homogeneous pores. The large particle size of the GR42 additive made the pores quite heterogeneous and of different sizes.\u003c/p\u003e\u003cp\u003eBased on the above test results, it can be concluded that the best parameters were obtained by the sample with 15 wt.% MikroCaps. All thermal parameters that could be improved for this sample improved to the greatest extent. Samples with PCM should have low thermal diffusivity and high specific heat and heat capacity, which was achieved to the greatest extent for this sample. The other samples also achieved satisfactory results, and in each case, the positive effect of phase change additives for geopolymer foams was confirmed. Geopolymer foams with PCM additives are a topic of great interest and commercialization potential, and given the growing demand for new environmentally friendly and energy-efficient solutions for building insulation, the topic will continue. Geopolymer foams are a very good substitute for commercial products such as polycyclic isocyanates and wools.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e \u003ch2\u003eConflict of Interest\u003c/h2\u003e \u003cp\u003eThe authors declare no interest confict. They have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.\u003c/p\u003e \u003c/p\u003e\u003ch2\u003eFunding\u003c/h2\u003e \u003cp\u003eAll research was funded by the National Center for Research and Development under a grant: Development of technology for the additive production of environmentally friendly and safe insulating and heat storage capable materials based on alkaline activation of anthropogenic raw materials (LIDER/16/0061/L-11/19/NCBR/2020) and this work was also partially financed by the Polish National Agency for Academic Exchange under the grant BNI-UE-2023-8.\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eA.B. and M.Ł. wrote the main manuscript text and R.B. K.S. and K.K. examined SEM microscopy and the properties of raw materials; A.K. K.P. and J.C performed tests of thermal properties; G.T. and V.G. improved the text and formatting and also interpreted the results and prepared conclusions. All authors reviewed the manuscript.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eThe datasets used and/or analysed during the current study available from the corresponding author on reasonable request.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eM. K. Nematchoua, R. M. Sendrahasina, C. Malmedy, J. A. Orosa, E. Simo, S. Reiter, Analysis of environmental impacts and costs of a residential building over its entire life cycle to achieve nearly zero energy and low emission objectives. J. Clean. 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K\u0026ouml;nig-Haagen, D.Br\u0026uuml;ggemann, Thermophysical Characterization of MgCl2\u0026middot;6H2O, Xylitol and Erythritol as Phase Change Materials (PCM) for Latent Heat Thermal Energy Storage (LHTES). Mater. 10 (4), 444 (2017). \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3390/ma10040444\u003c/span\u003e\u003cspan address=\"10.3390/ma10040444\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Geopolymer foams, inorganic polymer composite, Phase change materials (PCM), Functionally Graded Materials and Structures for Energy Saving, composites for modern building insulation materials","lastPublishedDoi":"10.21203/rs.3.rs-4519744/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4519744/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe purpose of this study was to analyze the effect of phase change components on the properties of geopolymer foams. Geopolymer foams are lightweight foamed geopolymers that are characterized by a high degree of porosity. Phase change materials, on the other hand, are compounds that, when added to a material, allow it to absorb, store, and then release large amounts of energy. MikroCaps (MikroCaps, Slovenia), GR42, and PX25 (Rubitherm, Germany) were introduced as phase-change materials at 15% by weight. The geopolymer materials were produced based on silica fly ash from the Skawina Heat and Power Plant, and hydrogen peroxide H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e was used to foam the geopolymer structure. The PCM geopolymer composites were cured at 60°C. The produced materials were tested for physical, chemical, and thermal properties. The tests included oxide and mineral composition analysis of the base material, PCM particle size analysis, density and porosity tests of the foams, water leachability tests, thermal tests (l, Cv, Cp, a), and structure and texture analysis. The most key tests to confirm the performance of phase change materials were thermal tests. With the introduction of PCM, volumetric heat capacity increased by as much as 41%, specific heat by 45%, and thermal diffusivity decreased by 23%. The results confirm the great potential of geopolymer composites as modern insulation materials for buildings and structures.\u003c/p\u003e","manuscriptTitle":"Microstructure and insulating properties of foamed inorganic polymer composites containing various types of phase change materials (PCM)","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-06-21 09:44:23","doi":"10.21203/rs.3.rs-4519744/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"43035609-4158-45e8-8882-eebc5226b903","owner":[],"postedDate":"June 21st, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":33493678,"name":"Physical sciences/Materials science"},{"id":33493679,"name":"Physical sciences/Energy science and technology/Energy storage"}],"tags":[],"updatedAt":"2024-07-19T16:54:23+00:00","versionOfRecord":[],"versionCreatedAt":"2024-06-21 09:44:23","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4519744","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4519744","identity":"rs-4519744","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}