Altintas, E.Utlu, Z.2024-06-132024-06-1320202-s2.0-85095732274https://hdl.handle.net/11501/1047Azbil Corporation;Kansai Electric Power Co., Inc.;Mitsubishi Heavy Industries Thermal Systems, Ltd.;Yanmar Holdings Co., Ltd.33rd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2020 -- 29 June 2020 through 3 July 2020 -- -- 161913In 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.eninfo:eu-repo/semantics/closedAccessElectric production sectorEnergy efficiencyEnvironmentFuzzy multicriteria decision makingFuzzy TOPSISGame TheoryDecision support systemsDecision theoryEnergy managementEnergy policyEnvironmental impactEnvironmental managementFuzzy rulesGame theorySustainable developmentDecision making processFuzzy multi criteria decision making (FMCDM)Fuzzy multiple criteria decision makingMulticriteria decision supportNegative-ideal solutionsPerformance efficiencyTriangular fuzzy numbersWaste energy recoveriesDecision makingConference Object2350N/A2340