Chaotic quasi-oppositional arithmetic optimization algorithm for thermo-economic design of a shell and tube condenser running with different refrigerant mixture pairs

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dc.authoridAbualigah, Laith/0000-0002-2203-4549
dc.authoridTurgut, Mert Sinan/0000-0002-5739-2119
dc.authoridTurgut, Oguz Emrah/0000-0003-3556-8889
dc.authorwosidAbualigah, Laith/ABC-9695-2020
dc.authorwosidTurgut, Mert Sinan/AEJ-4595-2022
dc.contributor.authorTurgut, Mert Sinan
dc.contributor.authorTurgut, Oğuz Emrah
dc.contributor.authorAbualigah, Laith
dc.date.accessioned2023-03-22T19:47:22Z
dc.date.available2023-03-22T19:47:22Z
dc.date.issued2022
dc.departmentBelirleneceken_US
dc.description.abstractThis theoretical research study proposes a novel Chaotic Quasi-Oppositional Arithmetic Optimization Algorithm (COAOA) for thermo-economic optimization of a shell and tube condenser working with refrigerant mixtures. Arithmetic Optimization Algorithm (AOA) is a recently emerged metaheuristic algorithm considering different mathematical operators to optimize the candidate solutions over a wide range of search domains. The effectiveness the COAOA is assessed by applying it to a set of benchmark optimization problems and comparing the obtained solutions with that of the original AOA and its quasi-oppositional variant. The COAOA has been employed to acquire the minimum value of the total annual cost of the shell and tube condenser by iteratively varying nine decision variables of mass flow rate, shell diameter, the tube inside diameter, tube length, number of tube passes, tube layout, tube pitch ratio, the total number of baffles, and diameter ratio. Three different case studies are solved using different refrigerant pairs used for in-tube flow to show the proposed metaheuristic optimizer's efficiency and effectivity on real-world mixed-integer optimization problem. Optimal results retrieved for different mixture pairs with varying mass fractions are compared with each other, and parametric configuration yielding the minimum total cost is decided. Finally, a comprehensive sensitivity analysis is performed to investigate the influences of the design variables over the considered problem objective. Overall analysis results indicate that COAOA can be an excellent optimizer to obtain a shell and tube condenser's optimal configuration within a reasonable computation time.en_US
dc.identifier.doi10.1007/s00521-022-06899-x
dc.identifier.endpage8135en_US
dc.identifier.issn0941-0643
dc.identifier.issn1433-3058
dc.identifier.issue10en_US
dc.identifier.scopus2-s2.0-85123485200en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage8103en_US
dc.identifier.urihttps://doi.org/10.1007/s00521-022-06899-x
dc.identifier.urihttps://hdl.handle.net/20.500.14034/657
dc.identifier.volume34en_US
dc.identifier.wosWOS:000745596300002en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer London Ltden_US
dc.relation.journalNeural Computing & Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectShell and Tube Heat Exchangersen_US
dc.subjectArithmetic Optimization Algorithmen_US
dc.subjectCondensersen_US
dc.subjectMetaheuristicsen_US
dc.subjectEconomic Optimizationen_US
dc.subjectHeat-Exchangeren_US
dc.subjectSearch Algorithmen_US
dc.subject2-Phase Flowen_US
dc.subjectEfficiencyen_US
dc.subjectModelsen_US
dc.titleChaotic quasi-oppositional arithmetic optimization algorithm for thermo-economic design of a shell and tube condenser running with different refrigerant mixture pairsen_US
dc.typeArticleen_US

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