A comprehensive approach for tri-objective optimization of a novel advanced energy system with gas turbine prime mover, ejector cooling system and multi-effect desalination

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dc.authoridPouria Ahmadi / 0000-0001-8829-133Xen_US
dc.authorscopusidPouria Ahmadi / 23569183500en_US
dc.authorwosidPouria Ahmadi / G-6879-2013
dc.contributor.authorAhmadi, Pouria
dc.contributor.authorFakhari, I.
dc.contributor.authorRosen, Marc A.
dc.date.accessioned2022-06-24T05:33:08Z
dc.date.available2022-06-24T05:33:08Z
dc.date.issued2022en_US
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Biyomedikal Mühendisliği Bölümüen_US
dc.description.abstractThis research presents an innovative approach for optimization based on a Genetic Algorithm optimization method. The system is configured by the integration of a gas turbine cycle, a dual-pressure heat recovery steam generator, a multi-effect desalination unit, a refrigeration organic Rankine cycle with an ejector, and a proton-exchange membrane electrolyzer. The proposed system is optimized utilizing five single- and multi-objective methods and investigating each objective's effect on the optimum range of the decision variables. As a result of these optimization five best points are extracted. The base condition, and these five best points are identified as six conditions, and the performance and reliability of the optimization results are investigated in a comparative parametric study. The single-objective optimizations results show that the maximum possible exergy efficiency and freshwater production rate are 72% and 1354 m3/day, respectively, and the lowest possible total cost rate is 611 $/h. However, tri-objective optimization demonstrates for these parameters that the best point has efficiency, cost, and freshwater production rate values of 69%, 791 $/h, and 1063 m3/day, respectively. The comparative parametric study shows that the tri-objective optimization result (Condition 5) is favorable in terms of objectives and reliability. © 2022 Elsevier Ltden_US
dc.identifier.citationAhmadi, P., Fakhari, I., & Rosen, M. A. (2022). A comprehensive approach for tri-objective optimization of a novel advanced energy system with gas turbine prime mover, ejector cooling system and multi-effect desalination. Energy, 254 doi:10.1016/j.energy.2022.124352en_US
dc.identifier.doi10.1016/j.energy.2022.124352en_US
dc.identifier.issn0360-5442en_US
dc.identifier.scopus2-s2.0-85131966613en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.energy.2022.124352
dc.identifier.urihttps://hdl.handle.net/20.500.12713/2931
dc.identifier.volume254en_US
dc.identifier.wosWOS:000816893000013en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorAhmadi, Pouria
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofEnergyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMulti-Effect Desalinationen_US
dc.subjectMulti-Generation Systemen_US
dc.subjectMulti-Objective Optimizationen_US
dc.subjectOrganic Rankine Cycleen_US
dc.subjectSingle-Objective Optimizationen_US
dc.titleA comprehensive approach for tri-objective optimization of a novel advanced energy system with gas turbine prime mover, ejector cooling system and multi-effect desalinationen_US
dc.typeArticleen_US

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