Prioritization of industrial energy efficiency techniques using TOPSIS model

Prioritization of industrial energy efficiency techniques using TOPSIS model | 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 Research Article Prioritization of industrial energy efficiency techniques using TOPSIS model Yunus Emre Demirel, Elif Simsek Yesil, Pınar Hasanoglu Ozturk, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4447526/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 One of the challenges in deciding on industrial cleaner production implementations is the selection of the proper technique. This study presents a new approach to the selection of energy efficiency (EE) techniques employing the “Technique for Order of Preference by Similarity to Ideal Solution” (TOPSIS) model. Although the TOPSIS model has been used for various decision-making processes in some other sectors, it was not specifically used for the prioritization of EE techniques before. This model was applied for the first time in an integrated home textile enterprise. Initially, a wide list of best available techniques (BATs) and other measures were prepared to achieve electricity and thermal EE in the enterprise. TOPSIS analysis results indicated that out of this wide list, only seven of the techniques should be further investigated. These techniques can be listed as monitoring fabric moisture and optimizing passage speed in the stenters, control of recirculated air in stenters, process optimization in finishing processes, modification of the humidification-ventilation system, optimization of indoor lighting, establishing an energy monitoring system, insulation of pipe, valves, and tanks. Reductions in air emissions, and energy consumptions (electricity, steam natural gas) were calculated based on each EE technique. Ultimately, following potential reductions were calculated: 2.2–3.5% in electricity, 0.5–1.5% in steam, 6.3–13.5% in natural gas, and 8-16.5% in air emissions. Potential payback periods of the priority EE techniques were calculated as less than 40 months. TOPSIS model provided an effective roadmap in the selection of EE techniques and by this model, industries may save time and effort during decision-making for cleaner production investments. Furthermore, the TOPSIS model will also help the decision of optimum techniques to be implemented in the enterprise, providing economical savings and environmental performance improvement. Best Available Techniques Cleaner production Energy Efficiency Payback period Textile TOPSIS Figures Figure 1 Figure 2 Full Text Additional Declarations Tables 1-9 are available in the Supplementary Files section. Supplementary Files 5.Appendix.docx 3.TableListEO.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. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4447526","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":327831516,"identity":"9060f582-ae39-468c-8c6a-486a5c8c2287","order_by":0,"name":"Yunus Emre Demirel","email":"","orcid":"","institution":"Suleyman Demirel University: Suleyman Demirel Universitesi","correspondingAuthor":false,"prefix":"","firstName":"Yunus","middleName":"Emre","lastName":"Demirel","suffix":""},{"id":327831517,"identity":"1e939448-cb40-49f2-a0a4-3af39b180196","order_by":1,"name":"Elif Simsek Yesil","email":"","orcid":"","institution":"Suleyman Demirel 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This study presents a new approach to the selection of energy efficiency (EE) techniques employing the \u0026ldquo;Technique for Order of Preference by Similarity to Ideal Solution\u0026rdquo; (TOPSIS) model. Although the TOPSIS model has been used for various decision-making processes in some other sectors, it was not specifically used for the prioritization of EE techniques before. This model was applied for the first time in an integrated home textile enterprise. Initially, a wide list of best available techniques (BATs) and other measures were prepared to achieve electricity and thermal EE in the enterprise. TOPSIS analysis results indicated that out of this wide list, only seven of the techniques should be further investigated. These techniques can be listed as monitoring fabric moisture and optimizing passage speed in the stenters, control of recirculated air in stenters, process optimization in finishing processes, modification of the humidification-ventilation system, optimization of indoor lighting, establishing an energy monitoring system, insulation of pipe, valves, and tanks. Reductions in air emissions, and energy consumptions (electricity, steam natural gas) were calculated based on each EE technique. Ultimately, following potential reductions were calculated: 2.2\u0026ndash;3.5% in electricity, 0.5\u0026ndash;1.5% in steam, 6.3\u0026ndash;13.5% in natural gas, and 8-16.5% in air emissions. Potential payback periods of the priority EE techniques were calculated as less than 40 months. TOPSIS model provided an effective roadmap in the selection of EE techniques and by this model, industries may save time and effort during decision-making for cleaner production investments. 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