Multi-objective optimization of energy system with battery storage - A case study of Turkey

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dc.contributor.authorYurek, Yagmur Torul
dc.contributor.authorOzyoruk, Bahar
dc.contributor.authorOzcan, Evrencan
dc.date.accessioned2025-01-21T16:42:47Z
dc.date.available2025-01-21T16:42:47Z
dc.date.issued2024
dc.departmentKırıkkale Üniversitesi
dc.description.abstractTransition to clean energy sources is currently a paramount concern, necessitating the development of a robust long-term energy strategy and effective resource planning. This planning must encompass not only the economic and technical attributes of renewable energy resources but also their societal and environmental impacts, as these aspects significantly influence the feasibility of sustainable energy plans. To address these challenges, this study explores the application of multi -objective optimization methods, known for their ability to simultaneously consider multiple objectives. In this research, we propose a multi -objective linear programming model to allocate electricity generation among a range of 13 power plant alternatives for the planning horizon spanning 2022 to 2030. The selection of these alternatives incorporates two -source hybrid systems and battery storage systems due to their contributions to system stability and flexibility. The findings of this study indicate that wind and solar resources hold the largest share of electricity generation at 34% followed closely by hydro contributing to 30% of the generation. Notably, storage systems, particularly battery energy storage systems, are ranked lower due to their lower scores in socio-political and sustainability indices, as well as higher unit generation costs. It is worth noting that battery energy storage systems represent a relatively novel technology in Turkey, with potential for improving system reliability in the future, even though the majority of generation currently stems from existing and hybrid facilities.
dc.identifier.doi10.1016/j.est.2024.112101
dc.identifier.issn2352-152X
dc.identifier.issn2352-1538
dc.identifier.scopus2-s2.0-85194958496
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.est.2024.112101
dc.identifier.urihttps://hdl.handle.net/20.500.12587/25133
dc.identifier.volume93
dc.identifier.wosWOS:001249526500001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofJournal of Energy Storage
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241229
dc.subjectMulti-objective optimization; Renewable energy resources; Hybrid energy systems; Energy storage; Energy resource allocation; Linear programming
dc.titleMulti-objective optimization of energy system with battery storage - A case study of Turkey
dc.typeArticle

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