An oppositional Salp Swarm: Jaya algorithm for thermal design optimization of an Organic Rankine Cycle

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dc.authoridTurgut, Mert Sinan / 0000-0002-5739-2119
dc.authorscopusid56228320400
dc.authorscopusid57200158463
dc.contributor.authorTurgut, Mert Sinan
dc.contributor.authorTurgut, Oğuz Emrah
dc.date.accessioned2022-02-15T16:58:46Z
dc.date.available2022-02-15T16:58:46Z
dc.date.issued2021
dc.departmentBakırçay Üniversitesien_US
dc.description.abstractThis study proposes a hybrid metaheuristic algorithm to tackle both single and multi objective optimization problems that are subjected to hard constraints.Twenty-four single objective optimization benchmark problems comprising unimodal and multi modal test functions have been solved by the proposed hybrid algorithm (OPSSAJ) and numerical results have been compared with those acquired by some of the new emerged metaheuristic optimizers. The proposed OPSSAJ shows a significant accuracy and robustness in most of the cases and proves its efficiency in solving high dimensional problems. As a real-world case study, seventeen operational design parameters of an organic rankine cycle (ORC) operating with a binary mixture of R227EA and R600 refrigerants are optimized by the proposed hybrid OPSSAJ to obtain the optimum values of contradicting dual objectives of second law efficiency and Specific Investment Cost. A Pa reto curve composed of non-dominated solutions is constructed through the weighted sum method and the final solution is chosen by the reputed TOPSIS decision-maker. The pareto curve and best-compromising result obtained by utilizing the OPPSAJ are compared with that of acquired by using nondominated sorting genetic algorithm II (NSGA-II) and multiple objective particle swarm optimization (MOPSO) algorithms. The multi-objective ORC design obtained with the OPSSAJ yields a significant improvement in thermal efficiency and cost values compared to designs found by the NSGA-II and MOPSO algorithms. Furthermore, a sensitivity analysis is performed to observe the influences of the selected design variables on problem objectives.en_US
dc.identifier.doi10.1007/s42452-020-04014-0
dc.identifier.issn2523-3963
dc.identifier.issn2523-3971
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85100707598en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1007/s42452-020-04014-0
dc.identifier.urihttps://hdl.handle.net/20.500.14034/463
dc.identifier.volume3en_US
dc.identifier.wosWOS:000613245000006en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer International Publishing Agen_US
dc.relation.journalSn Applied Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectJaya algorithmen_US
dc.subjectMetaheuristic optimizationen_US
dc.subjectOrganic Rankine Cycleen_US
dc.subjectSalp Swarm algorithmen_US
dc.subjectZeotropic mixturesen_US
dc.titleAn oppositional Salp Swarm: Jaya algorithm for thermal design optimization of an Organic Rankine Cycleen_US
dc.typeArticleen_US

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