COST ANALYSIS OF MINI HYDRO POWER PLANT USING BACTERIAL SWARM OPTIMIZATION

dc.contributor.authorÇelikdemir, Soner
dc.contributor.authorYıldırım, Burak
dc.contributor.authorÖzdemir, Mahmut Temel
dc.date.accessioned2026-08-12T15:11:26Z
dc.date.issued2017
dc.departmentFırat Üniversitesi
dc.description.abstractAccording to the 2023 vision determined by Turkey, which is one of the G20 countries, it aims to evaluate of the hydro power potential in terms of technical and economic making medium and large hydro power plants. Turkey's mini and micro hydro power potential isn’t fully evaluated as a number of countries.  In this context, empirical formula for cost analysis of mini and micro hydro power plants, which are becoming increasingly important, have been developed in this work with the aim of facilitating economic analysis. The developed equation is found by modified Bacterial Swarm Optimization (BSO) algorithm. When analyzed with the literature data, the obtained equation can calculate the costs with the least mistakes.
dc.identifier.doi10.23884/IJESG.2017.2.2.05
dc.identifier.endpage81
dc.identifier.issn2548-0332
dc.identifier.issn2636-7904
dc.identifier.issue2
dc.identifier.startpage64
dc.identifier.urihttps://doi.org/10.23884/IJESG.2017.2.2.05
dc.identifier.urihttps://hdl.handle.net/11508/30078
dc.identifier.volume2
dc.language.isoen
dc.publisherZülküf GÜLSÜN [EN]
dc.relation.ispartofInternational Journal of Energy and Smart Grid
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_DergiPark_20260511
dc.titleCOST ANALYSIS OF MINI HYDRO POWER PLANT USING BACTERIAL SWARM OPTIMIZATION
dc.typeArticle

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