Field-Scale MCDM Ranking of Microalgae PBR Operations for NH3/CO2 Mitigation in Broiler House

Field-Scale MCDM Ranking of Microalgae PBR Operations for NH3/CO2 Mitigation in Broiler House | 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 Field-Scale MCDM Ranking of Microalgae PBR Operations for NH3/CO2 Mitigation in Broiler House Seyit Uguz, Talip Arsu, Xufei Yang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8431214/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 This study presents a field evaluation of microalgae photobioreactor (PBR) systems for mitigating ammonia (NH 3 ) and carbon dioxide (CO 2 ) emissions from a commercial broiler house, and multi-criteria decision-making (MCDM) ranking to optimize system operation. Building upon previous findings from laboratory experiments, nine PBR experiments were conducted using Scenedesmus sp. , Ankistrodesmus sp. , and Synechococcaceae cultivated under three media conditions (BBM, BBM─N, and DI─water). The PBRs were operated for 30 days to assess biological (biomass productivity, growth rate), environmental (NH 3 and CO 2 mitigation efficiencies), and operational (cost, energy and nutrient demand) performances. With the obtained data, three MCDM techniques, including Integrated Determination of Objective CRIteria Weights (IDOCRIW), Logarithmic Percentage Change-driven Objective Weighting (LOPCOW), and Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS), were applied to rank the PBR setups across three performance domains: biological, environmental, and overall efficiency. Among all alternatives, Ankistrodesmus sp. in BBM–N medium achieved the highest overall score, followed by Scenedesmus sp. in BBM–N, demonstrating superior pollutant mitigation with moderate operational costs. The MCDM analysis that integrates biological and environmental indicators enables a more holistic evaluation of PBR performance than single-parameter assessments. The findings provide a robust decision-support framework for scaling up microalgae-based air treatment systems in livestock production facilities, contributing to the development of sustainable emission mitigation strateges aligned with circular bioeconomy goals. Biological sciences/Ecology Earth and environmental sciences/Ecology Earth and environmental sciences/Environmental sciences MARCOS IDOCRIW mitigation air pollutant photobioreactor microalgae sustainability 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. 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-8431214","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":571330542,"identity":"76f1499f-ce24-4599-89b7-b32b3b2e170c","order_by":0,"name":"Seyit 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Building upon previous findings from laboratory experiments, nine PBR experiments were conducted using \u003cem\u003eScenedesmus sp.\u003c/em\u003e, \u003cem\u003eAnkistrodesmus sp.\u003c/em\u003e, and \u003cem\u003eSynechococcaceae\u003c/em\u003e cultivated under three media conditions (BBM, BBM─N, and DI─water). The PBRs were operated for 30 days to assess biological (biomass productivity, growth rate), environmental (NH\u003csub\u003e3\u003c/sub\u003e and CO\u003csub\u003e2\u003c/sub\u003e mitigation efficiencies), and operational (cost, energy and nutrient demand) performances. With the obtained data, three MCDM techniques, including Integrated Determination of Objective CRIteria Weights (IDOCRIW), Logarithmic Percentage Change-driven Objective Weighting (LOPCOW), and Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS), were applied to rank the PBR setups across three performance domains: biological, environmental, and overall efficiency. Among all alternatives, \u003cem\u003eAnkistrodesmus sp.\u003c/em\u003e in BBM\u0026ndash;N medium achieved the highest overall score, followed by \u003cem\u003eScenedesmus sp.\u003c/em\u003e in BBM\u0026ndash;N, demonstrating superior pollutant mitigation with moderate operational costs. The MCDM analysis that integrates biological and environmental indicators enables a more holistic evaluation of PBR performance than single-parameter assessments. 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