Energy usage in electric production sector in terms of environmental impacts and energy planning with Fuzzy TOPSIS method & Game Theory

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dc.authorscopusid57219855818
dc.authorscopusid56037531000
dc.contributor.authorAltintas, E.
dc.contributor.authorUtlu, Z.
dc.date.accessioned2024-06-13T20:16:06Z
dc.date.available2024-06-13T20:16:06Z
dc.date.issued2020
dc.departmentİstanbul Gedik Üniversitesi
dc.descriptionAzbil Corporation;Kansai Electric Power Co., Inc.;Mitsubishi Heavy Industries Thermal Systems, Ltd.;Yanmar Holdings Co., Ltd.
dc.description33rd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2020 -- 29 June 2020 through 3 July 2020 -- -- 161913
dc.description.abstractIn recent years, fuzzy multi-criteria decision making (FMCDM) was introduced as a promising and important field of energy supply systems. The aim of this study is that to develop the multi-criteria decision support framework and determine optimal options for energy management in terms of energy used in the electric production sector (EPS) by taking into account the interactions of energy and environment used in production sector. Energy management of the EPS and the environment are investigated in care of game theory approach in decision-making process. The players of game theory approach are the EPS and the environment. Both the EPS and the environment try to find optimal strategies in terms of managing energy policy, the players also have conflicting objectives. The objectives of the EPS player are to ensure sustainability using fossil energy, renewable energy, waste energy recovery and nuclear energy use, while the objectives of the environment player are to ensure the sustainability of the environment. Fuzzy multiple criteria decision making (FMCDM) problem with the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) is employed for the analysis of the strategies' performance efficiency values and select the best. The rating of each alternative and the weight of each criterion are described by linguistic variables which can be expressed in triangular fuzzy numbers. Then, a vertex method is proposed to calculate the distance between two triangular fuzzy numbers. the concept of the TOPSIS is developed for solving MCDM problems with the basic principle to choose the alternative which has the shortest distance from the fuzzy positive-ideal solution (FPIS) and the farthest distance from fuzzy negative-ideal solution (FNIS). Consequently the most appropriate strategies that determine energy policies for the electric production sector and environment players are found and analyzed with a numerical example. According to results of the pay-off matrix, the equilibrium point is found. An application of this method demonstrates that the EPSs' use of energy triggers the environment's strategy. First and foremost, the environment creates its protection reflex. © ECOS 2020.All right reserved.
dc.identifier.endpage2350
dc.identifier.scopus2-s2.0-85095732274
dc.identifier.scopusqualityN/A
dc.identifier.startpage2340
dc.identifier.urihttps://hdl.handle.net/11501/1047
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherECOS 2020 Local Organizing Committee
dc.relation.ispartofECOS 2020 - Proceedings of the 33rd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectElectric production sector
dc.subjectEnergy efficiency
dc.subjectEnvironment
dc.subjectFuzzy multicriteria decision making
dc.subjectFuzzy TOPSIS
dc.subjectGame Theory
dc.subjectDecision support systems
dc.subjectDecision theory
dc.subjectEnergy management
dc.subjectEnergy policy
dc.subjectEnvironmental impact
dc.subjectEnvironmental management
dc.subjectFuzzy rules
dc.subjectGame theory
dc.subjectSustainable development
dc.subjectDecision making process
dc.subjectFuzzy multi criteria decision making (FMCDM)
dc.subjectFuzzy multiple criteria decision making
dc.subjectMulticriteria decision support
dc.subjectNegative-ideal solutions
dc.subjectPerformance efficiency
dc.subjectTriangular fuzzy numbers
dc.subjectWaste energy recoveries
dc.subjectDecision making
dc.titleEnergy usage in electric production sector in terms of environmental impacts and energy planning with Fuzzy TOPSIS method & Game Theory
dc.typeConference Object

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