Optimization of Biogas Production from Potato Peels and Fish Waste using MATLAB

Optimization of Biogas Production from Potato Peels and Fish Waste using MATLAB | 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 Optimization of Biogas Production from Potato Peels and Fish Waste using MATLAB Eric Ogur This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4556674/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 Optimizing biogas production from organic waste is crucial for sustainable energy and waste management. This study investigates the use of potato peels and fish waste as substrates for anaerobic digestion. By integrating mathematical modelling, experimental design, and computational simulations, the research enhances the understanding and optimization of the anaerobic digestion process. A mathematical model based on Monod kinetics and mass balance principles was developed to describe substrate utilization, biomass growth, and biogas production. This model incorporates variables such as substrate concentration, microbial biomass, and biogas production rate, while accounting for factors like temperature and pH. MATLAB was used to solve the equations and validate the model with experimental data. The experimental setup involved a continuous stirred-tank reactor (CSTR) with controlled operational parameters. A detailed experimental design ensured reliability, involving randomization, blocking, and control experiments. Data on substrate and biomass concentrations, volatile fatty acids, chemical oxygen demand, and total solids were collected and analysed. Results showed a strong linear relationship between actual and predicted biogas yields, with an R2 value of 0.99238, indicating high predictive accuracy. Analysis of variance (ANOVA) confirmed the significant impact of substrate composition, temperature, and pH on biogas production. A refined regression model highlighted the positive impact of higher temperatures and pH levels, while revealing a synergistic interaction between substrate composition and pH. Using Design of Experiments (DoE) and MATLAB optimization, the optimal conditions were found to be 72% potato peels, a temperature of 51°C, and a pH of 7.4, resulting in a predicted biogas production rate of 0.49 L/h. These findings highlight the potential for efficient resource utilization and biogas production. This study provides a comprehensive understanding of the anaerobic digestion process, aiding the development of sustainable biogas production strategies. The integration of mathematical modelling, experimental design, and computational simulations proves invaluable in optimizing biogas production from organic waste, supporting global renewable energy and waste management efforts. The insights gained pave the way for practical applications in industrial and municipal settings, fostering a transition towards a more sustainable future. Biogas Design of Experiments MATLAB Optimization Potato Peels Fish Waste Renewable Energy Full Text Additional Declarations No competing interests reported. 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. 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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-4556674","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":317217232,"identity":"c03d96c2-5132-45ed-aca4-8e48acd3b531","order_by":0,"name":"Eric Ogur","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABDUlEQVRIie3RMWrDMBSA4ScM7qI2a0Wg6RFkOhWMfRUJgaa0SxdvcTFkMpkT6CHUGwgM7SKa1dDFpmsHZ2qgQyuHkkwqHgPRv1gYPt4TAvD5jjKUo3x3CDSA3v9mQ0jI84GkR7sPjoaR0bh63CwhTtS7+frAJr6nrxp1W5BXLkIWvCAKpFBvd88FruUDNSwgJUxvXIQaNEcNVIKac0u6iivNYAyQ8dxB0gPBrSU/XK2b4NuSmYtQbImCKrEE2cU0VzUL7ZSp8/6XBhVkSSUjJoxWT0bwVd3Ob0sqI9eUUXnWbsosTi9M0HSfLwlfrEVVbzMxcU35Ww8Ol73W/TvR/0Ffuj9NXAv5fD7fyfYL4Vhe/skBp/4AAAAASUVORK5CYII=","orcid":"","institution":"The Technical University of Kenya","correspondingAuthor":true,"prefix":"","firstName":"Eric","middleName":"","lastName":"Ogur","suffix":""}],"badges":[],"createdAt":"2024-06-10 08:19:50","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-4556674/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4556674/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":61178275,"identity":"64f5cbc5-8ce4-489f-b3c7-7131c21e7f5a","added_by":"auto","created_at":"2024-07-26 15:57:51","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":350938,"visible":true,"origin":"","legend":"","description":"","filename":"OptimizationofBiogasProductionfromPotatoPeelsandFishWasteusingMATLABBIO.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4556674/v1_covered_5ab4bfa1-bf95-470f-8091-61b574b6138d.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Optimization of Biogas Production from Potato Peels and Fish Waste using MATLAB","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":true,"isPdf":true,"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":"Biogas, Design of Experiments, MATLAB, Optimization, Potato Peels, Fish Waste, Renewable Energy","lastPublishedDoi":"10.21203/rs.3.rs-4556674/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4556674/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eOptimizing biogas production from organic waste is crucial for sustainable energy and waste management. This study investigates the use of potato peels and fish waste as substrates for anaerobic digestion. By integrating mathematical modelling, experimental design, and computational simulations, the research enhances the understanding and optimization of the anaerobic digestion process. A mathematical model based on Monod kinetics and mass balance principles was developed to describe substrate utilization, biomass growth, and biogas production. This model incorporates variables such as substrate concentration, microbial biomass, and biogas production rate, while accounting for factors like temperature and pH. MATLAB was used to solve the equations and validate the model with experimental data. The experimental setup involved a continuous stirred-tank reactor (CSTR) with controlled operational parameters. A detailed experimental design ensured reliability, involving randomization, blocking, and control experiments. Data on substrate and biomass concentrations, volatile fatty acids, chemical oxygen demand, and total solids were collected and analysed. Results showed a strong linear relationship between actual and predicted biogas yields, with an R2 value of 0.99238, indicating high predictive accuracy. Analysis of variance (ANOVA) confirmed the significant impact of substrate composition, temperature, and pH on biogas production. A refined regression model highlighted the positive impact of higher temperatures and pH levels, while revealing a synergistic interaction between substrate composition and pH. Using Design of Experiments (DoE) and MATLAB optimization, the optimal conditions were found to be 72% potato peels, a temperature of 51\u0026deg;C, and a pH of 7.4, resulting in a predicted biogas production rate of 0.49 L/h. These findings highlight the potential for efficient resource utilization and biogas production. This study provides a comprehensive understanding of the anaerobic digestion process, aiding the development of sustainable biogas production strategies. The integration of mathematical modelling, experimental design, and computational simulations proves invaluable in optimizing biogas production from organic waste, supporting global renewable energy and waste management efforts. The insights gained pave the way for practical applications in industrial and municipal settings, fostering a transition towards a more sustainable future.\u003c/p\u003e","manuscriptTitle":"Optimization of Biogas Production from Potato Peels and Fish Waste using MATLAB","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-06-26 12:36:55","doi":"10.21203/rs.3.rs-4556674/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":"fcbd1a33-47b3-4fb9-9744-30299e71f09c","owner":[],"postedDate":"June 26th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-07-26T15:49:45+00:00","versionOfRecord":[],"versionCreatedAt":"2024-06-26 12:36:55","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4556674","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4556674","identity":"rs-4556674","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}