Renewable Energy Investment Decision Evaluation for Local Authorities

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dc.contributor.authorTürkoğlu, Ecem
dc.contributor.authorÇolak, Üner
dc.contributor.authorKayakutlu, Gülgün
dc.contributor.authorArgun, İrem Düzdar
dc.date.accessioned2023-07-26T11:54:09Z
dc.date.available2023-07-26T11:54:09Z
dc.date.issued2022
dc.departmentDÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description9th IFIP WG 12.6 and 1st IFIP WG 12.11 International Workshop on Artificial Intelligence for Knowledge Management, Energy, and Sustainability (AI4KMES) held at 30th International Joint Conference on Artificial Intelligence (IJCAI) -- AUG 19-26, 2021 -- Montreal, CANADAen_US
dc.description.abstractCurrently, increasing urban population creates escalating problems such as housing, infrastructure, transportation, health, environment, safety, and energy consumption. Climate change, emission mitigation, and limited energy supply force urban managers to consider sound measures with the support of technological developments. It is based on data collection and accumulation using IoT, sensors, digital networks, and other means. Smart urbanism is a concept that considers predicting, designing, and creating solutions in a systematic, sustainable, and agile manner based on the data collected. Energy is an indispensable dimension in this context. Optimum energy management makes it smart energy with the inclusion clean and sustainable renewable energy resources as well as energy efficiency. This study is performed to analyze possible inclusion of geothermal, solar, and wind power. The analyses are based to reveal the best feasible alternative considering the parameters of location, climate, space availability, capital and operational expenditures as well as construction, operation, and maintenance. The Fuzzy Analytic Hierarchy Process (Fussy AHP) technique is used to evaluate the ranking. The proposed method uses fuzzy mathematics for solving problems containing uncertainties as well as less quantifiable. This study proposes a methodological framework for the analysis of competitiveness of alternative renewable energy generations in urban environments. The municipality of Balikesir is chosen for the case study presented in this work.en_US
dc.description.sponsorshipIFIP WG 12 6 Knowledge Management,IFIP WG 12 11 AI Energy & Sustainabilen_US
dc.identifier.doi10.1007/978-3-030-96592-1_15
dc.identifier.endpage214en_US
dc.identifier.isbn978-3-030-96592-1
dc.identifier.isbn978-3-030-96591-4
dc.identifier.issn1868-4238
dc.identifier.issn1868-422X
dc.identifier.scopus2-s2.0-85126212262en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage197en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-96592-1_15
dc.identifier.urihttps://hdl.handle.net/20.500.12684/12744
dc.identifier.volume637en_US
dc.identifier.wosWOS:000772152700015en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorArgun, İrem Düzdar
dc.language.isoenen_US
dc.publisherSpringer International Publishing Agen_US
dc.relation.ispartofArtificial Intelligence For Knowledge Management, Energy, and Sustainabilityen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subjectFuzzy Analytic Hierarchy Process; Wind Energy; Solar Energy; Geothermal Energy; Energy Investments; Urban Energyen_US
dc.subjectSustainable Energy; Fuzzy Ahp; Mcdm; Model; Optimization; Options; Systems; Turkeyen_US
dc.titleRenewable Energy Investment Decision Evaluation for Local Authoritiesen_US
dc.typeConference Objecten_US

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