A CMOPSO based multi-objective optimization of renewable energy planning: case of Turkey

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dc.contributor.authorDeveci, Kaan
dc.contributor.authorGüler, Önder
dc.date.accessioned2021-01-08T21:51:20Z
dc.date.available2021-01-08T21:51:20Z
dc.date.issued2020
dc.departmentTAÜ, Fen Fakültesi, Enerji Bilimi ve Teknolojileri Bölümüen_US
dc.descriptionGuler, Onder/0000-0002-6025-2547; Deveci, Kaan/0000-0003-0301-2296en_US
dc.descriptionWOS:000537825800050en_US
dc.description.abstractIn this paper, a two step multi-objective optimization framework of renewable energy planning is proposed for Turkey. In the first step, optimization process is performed and in the second step a multicriteria decision making based selection strategy is applied to select a solution from non-dominated solution set. The objectives are selected as minimization of levelized cost of electricity plan and maximization of short term electricity generation from renewable energy resources. The optimization model considers different cases of renewable energy investment expenditures and the optimal use of resource availability according to renewable energy related targets of the country and estimated cost reduction due to technological learning. For optimization purposes, a state-of-the-art metaheuristic Competitive Multi-Objective Particle Swarm Optimizer (CMOPSO) is used. Results reveal that the 2023 targets of Turkey for hydroelectric, and biomass power plants are not optimal with any of the renewable energy investment case. In addition, solar photovoltaics and onshore wind energy should be the most preferred renewable resources. The findings of this paper can help decision makers not only to set optimized and reliable energy-related goals for Turkey but also to estimate the most suitable time for diffusion of offshore wind energy technology which is not currently under operation. (C) 2020 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.renene.2020.03.033
dc.identifier.endpage590en_US
dc.identifier.issn0960-1481
dc.identifier.scopus2-s2.0-85082854219
dc.identifier.scopusqualityQ1
dc.identifier.startpage578en_US
dc.identifier.urihttp://doi.org/10.1016/j.renene.2020.03.033
dc.identifier.urihttps://hdl.handle.net/20.500.12846/140
dc.identifier.volume155en_US
dc.identifier.wosWOS:000537825800050
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorDeveci, Kaan
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofRenewable Energy
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectRenewable Energy Planningen_US
dc.subjectMulti-Objective Optimizationen_US
dc.subjectMulti-Criteria Decision Supporten_US
dc.titleA CMOPSO based multi-objective optimization of renewable energy planning: case of Turkey
dc.typeArticle

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