Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104189
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dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorWang, Sen_US
dc.creatorLiu, Cen_US
dc.creatorRen, Jen_US
dc.creatorLiu, Len_US
dc.creatorLi, Qen_US
dc.creatorHuo, Een_US
dc.date.accessioned2024-02-05T08:47:00Z-
dc.date.available2024-02-05T08:47:00Z-
dc.identifier.issn0959-6526en_US
dc.identifier.urihttp://hdl.handle.net/10397/104189-
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.rights© 2019 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Wang, S., Liu, C., Ren, J., Liu, L., Li, Q., & Huo, E. (2019). Carbon footprint analysis of organic rankine cycle system using zeotropic mixtures considering leak of fluid. Journal of Cleaner Production, 239, 118095 is available at https://doi.org/10.1016/j.jclepro.2019.118095.en_US
dc.subjectCarbon footprinten_US
dc.subjectEmission reductionsen_US
dc.subjectOrganic rankine cycleen_US
dc.subjectWaste heat recoveryen_US
dc.subjectZeotropic mixtureen_US
dc.titleCarbon footprint analysis of organic rankine cycle system using zeotropic mixtures considering leak of fluiden_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume239en_US
dc.identifier.doi10.1016/j.jclepro.2019.118095en_US
dcterms.abstractThe energy demand and severe environmental pollution problems have drawn global attentions. Organic Rankine cycle (ORC) as a waste heat power generation technology has broad application prospects. Emissions of carbon dioxide equivalent (CO2,eq) for measuring global warming potential and the emission reductions during life-time can directly reflect the environmental impact of ORC. A carbon footprint evaluation method for ORC using zeotropic mixture is developed in life cycle perspective. The security, thermodynamic and environmental criteria of binary mixture in ORC are also incorporated to evaluate the system environmental influence. Zeotropic mixtures, including R134a/R290, R134a/R600, R134a/R600a, R245fa/R600a, R245fa/R290, R227ea/R600a and R227ea/R290, are selected as the working fluids. Results showed that ORC with R245fa/R600a operated under environmental criterion produced the minimum CO2,eq emission of 26.30 g CO2,eq/kWh and the system with R227ea/R600a operated under thermodynamic criterion possessed the highest emission reduction of 5595.76 tons CO2,eq. Compared with the cases operated under security and environmental criteria, ORC operated under thermodynamic criterion generated a higher net power output at the expense of larger emissions. The primary source of CO2,eq emission from equipment is the heat exchangers while the counterpart from working fluid is during leak process. Meanwhile, the implementation of environmental criterion reduces the CO2,eq emissions of working fluid in ORC significantly, compared with cases under security and thermodynamic criteria. In consideration of the maximum emission reductions of CO2,eq, the compositions of the mixtures, i.e. R245fa/R600a and R245fa/R290, are mainly determined according to the environmental criterion. In addition, it is found the emission reductions decrease linearly with the leak rates of working fluids in ORCs in this work.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of cleaner production, 1 Dec. 2019, v. 239, 118095en_US
dcterms.isPartOfJournal of cleaner productionen_US
dcterms.issued2019-12-01-
dc.identifier.scopus2-s2.0-85071140207-
dc.identifier.artn118095en_US
dc.description.validate202402 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberISE-0382-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe National Natural Science Foundation of China; the “artificial intelligence” key project of Chongqing; the Open Fund of Key Laboratory of Low-grade Energy Utilization Technologies and Systems (Chongqing University), Ministry of Education of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS14455652-
dc.description.oaCategoryGreen (AAM)en_US
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