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Optimization of electricity generation for Afyonkarahisar Afyonkarahisar için elektrik üretimi eniyilemesi

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dc.creator Sulukan, Egemen
dc.creator Köker, Utku
dc.creator KORUCA, Halil İbrahim
dc.date 2023-01-01T00:00:00Z
dc.date.accessioned 2025-02-25T10:42:05Z
dc.date.available 2025-02-25T10:42:05Z
dc.identifier f9f947f1-5576-459a-900f-1e60674b0c6f
dc.identifier 10.17341/gazimmfd.1054052
dc.identifier https://avesis.sdu.edu.tr/publication/details/f9f947f1-5576-459a-900f-1e60674b0c6f/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/101999
dc.description © 2023 Gazi Universitesi Muhendislik-Mimarlik. All rights reserved.In recent years, the relationship between energy security, society and sustainable development has brought about improvements in energy planning interfaces. The dissemination of these interfaces has resulted in increased participation of communities in energy planning issues over the years. Although national-level analysis has been studied since the 1970s, regional-level energy analysis has only gained popularity in recent years. In this article, five different scenario analyzes are discussed by using OSeMOSYS, TIMES and NEOS tools in Afyonkarahisar province. In the study, agriculture, industry, residential, lighting and energy sectors were examined in terms of electricity generation optimization between the years 2016-2031. The Business As Usual model, the 75% renewable energy constrained model and three different carbon tax scenarios are examined. The scenarios are studied comparatively from the technological, environmental and economic aspects and the findings are discussed in the conclusions and comments sections. As a result of the analysis, it has been shown that OSeMOSYS and TIMES are very useful tools for regional modeling and perform various scenario analyzes with high accuracy.
dc.language tur
dc.rights info:eu-repo/semantics/openAccess
dc.title Optimization of electricity generation for Afyonkarahisar Afyonkarahisar için elektrik üretimi eniyilemesi
dc.type info:eu-repo/semantics/article


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