Multi-objective optimization of parameters affecting Organic Rankine Cycle performance characteristics with Taguchi-Grey Relational Analysis

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dc.contributor.authorBademlioğlu, Ali Hüsnü
dc.contributor.authorCanbolat, A. S.
dc.contributor.authorKaynakli, O.
dc.date.accessioned2021-03-20T20:12:23Z
dc.date.available2021-03-20T20:12:23Z
dc.date.issued2020
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Enerji Sistemleri Mühendisliği Bölümüen_US
dc.description.abstractIn the literature, energetic and exergetic performance of Organic Rankine Cycle (ORC) were investigated by various researchers. The working parameters affecting the cycle's performance were determined but the impact weights and the order of importance of these parameters were not discussed with a statistical approach. In this context, nine fundamental process parameters such as working fluid type, pinch point temperature differences in the evaporator and condenser, superheating temperature, evaporation and condensation temperatures, heat exchanger effectiveness, turbine and pump efficiencies have been selected for the statistical evaluation. A comprehensive statistical analysis has been carried out to observe the effect of the parameters on the first and second law efficiencies of the ORC. The impact ratios and order of importance of these parameters on the system's performance indicators have been determined. While Taguchi method is performed to determine the optimum levels of each parameter, ANOVA method is used to obtain the impact weights of the parameters on objective functions. In addition to these methods, Grey Relational Analysis (GRA) method is used to optimize the multi-objective function. Evaporator temperature, turbine efficiency, effectiveness of heat exchanger, condenser temperature are obtained as main process parameters on the multiple performance characteristics of ORC and the impact ratios of these parameters are calculated as 31.37%, 19.53%, 16.64%, and 16.61%, respectively. The best condition for the multiple performance characteristics is determined as A(1)B(1)C(3)D(3)E(3)F(3)G(1)H(3)I(3) and under these operating conditions, the first and second law efficiencies of the system are found as 18.1% and 65.52%, respectively.en_US
dc.identifier.doi10.1016/j.rser.2019.109483en_US
dc.identifier.issn1364-0321
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttp://doi.org/10.1016/j.rser.2019.109483
dc.identifier.urihttps://hdl.handle.net/20.500.12885/528
dc.identifier.volume117en_US
dc.identifier.wosWOS:000501608500020en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorBademlioğlu, Ali Hüsnü
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofRenewable & Sustainable Energy Reviewsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOrganic Rankine Cycleen_US
dc.subjectGrey Relational Analysisen_US
dc.subjectTaguchi methoden_US
dc.subjectANOVAen_US
dc.subjectEnergy efficiencyen_US
dc.subjectExergy efficiencyen_US
dc.titleMulti-objective optimization of parameters affecting Organic Rankine Cycle performance characteristics with Taguchi-Grey Relational Analysisen_US
dc.typeArticleen_US

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