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dc.contributor.authorÖksel, Cem
dc.contributor.authorKoç, Ali
dc.date.accessioned2022-11-16T05:44:06Z
dc.date.available2022-11-16T05:44:06Z
dc.date.issued2022en_US
dc.identifier.citationÖksel, C., Koç, A. (2022). Modeling of a Combined Kalina and Organic Rankine Cycle System for Waste Heat Recovery from Biogas Engine. Sustainability (Switzerland), 14 (12), art. no. 7135. https://doi.org/10.3390/su14127135en_US
dc.identifier.urihttps://doi.org/10.3390/su14127135
dc.identifier.urihttps://hdl.handle.net/20.500.12508/2255
dc.description.abstractConverting waste heat into electricity has captured the interest of scientists for years because of its enormous potential to improve energy efficiency and to lessen environmental impacts. While there are numerous applications to recover lost energy, they are often not efficient or cheap enough to make a real-world impact. The aim of this study is to develop a heat recovery system for the waste recycling factory operating in Hatay, Turkey. We combined the Kalina Cycle (KC) with the Organic Rankine Cycle (ORC) to extract exhaust gas and jacket water waste heat from a combined heat and power engine. An ammonia-water mixture was selected as the working fluid in KC, while R123, R236ea and R124 were chosen and tested for the ORC. The selection of working fluids was made based on certain environmental impacts such as global warming or ozone depletion potential, without further exploring other working fluid options, which could be considered a limitation of this study. The optimal values of KC parameters, including mass fraction, turbine inlet pressure and inlet temperature, were found to be 90%, 430 degrees C and 90 bar, respectively. The KC was then combined with the ORC using three different working fluids, among which R123 yielded the best results. The net power, exergy and thermal efficiency of the combined cycle were calculated as 211.03 kW, 52.83% and 26.50%, respectively, while the payback period was estimated to be 4.2 years. It should be noted that the applicability domain of the obtained results is limited to the climate conditions studied here. We concluded that the combination of the KC and ORC can be efficiently used for the recovery of waste heat energy.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.isversionof10.3390/su14127135en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCHP engineen_US
dc.subjectCogenerationen_US
dc.subjectEnergy efficiencyen_US
dc.subjectHeat integrationen_US
dc.subjectKalina cycleen_US
dc.subjectOrganic rankine cycleen_US
dc.subjectWaste heat recoveryen_US
dc.subject.classificationRankine cycle
dc.subject.classificationWorking Fluids
dc.subject.classificationWaste Heat Utilization
dc.subject.classificationScience & Technology - Other Topics
dc.subject.classificationEnvironmental Sciences & Ecology
dc.subject.classificationEngineering & Materials Science - Thermodynamics - Organic Rankine Cycle
dc.subject.otherThermodynamic analysis
dc.subject.otherExergy analysis
dc.subject.otherMultiobjective optimization
dc.subject.otherParametric optimization
dc.subject.otherWorking fluids
dc.subject.otherPower cycle
dc.subject.otherSolid-waste
dc.subject.other4E analysis
dc.subject.otherEnergy
dc.subject.otherORC
dc.subject.otherHatay
dc.subject.otherTurkey
dc.subject.otherBiogas
dc.subject.otherCombined heat and power
dc.subject.otherEngine
dc.subject.otherNumerical model
dc.subject.otherRecovery
dc.subject.otherRecycling
dc.titleModeling of a Combined Kalina and Organic Rankine Cycle System for Waste Heat Recovery from Biogas Engineen_US
dc.typearticleen_US
dc.relation.journalSustainability (Switzerland)en_US
dc.contributor.departmentMühendislik ve Doğa Bilimleri Fakültesi -- Makina Mühendisliği Bölümüen_US
dc.identifier.volume14en_US
dc.identifier.issue12en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.isteauthorÖksel, Cem
dc.contributor.isteauthorKoç, Ali
dc.relation.indexWeb of Science - Scopusen_US
dc.relation.indexWeb of Science Core Collection - Science Citation Index Expanded
dc.relation.indexWeb of Science Core Collection - Social Sciences Citation Index


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