Game theory approach in decisional process of energy management for industrial sector

Aplak, Hakan Soner; Söğüt, M. Ziya

doi:10.1016/j.enconman.2013.03.027

Cited by 57 publications

(17 citation statements)

References 10 publications

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“…Using Fuzzy TOPSIS in combination with multi-objective optimization, Perera et al [44] have developed a decision-making tool for designing hybrid energy systems. Aplak et al [59] combined game theory and Fuzzy TOPSIS seeking to create a system for the establishment of the most optimal energy management strategy in the industry sector.…”

Section: Abotah and Daimmentioning

confidence: 99%

An Overview of Multi-Criteria Decision-Making Methods in Dealing with Sustainable Energy Development Issues

et al. 2018

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The measurement of sustainability is actively used today as one of the main preventative instruments in order to reduce the decline of the environment. Sustainable decision-making in solving energy issues can be supported and contradictory effects can be evaluated by scientific achievements of multi-criteria decision-making (MCDM) techniques. The main goal of this paper is to overview the application of decision-making methods in dealing with sustainable energy development issues. In this study, 105 published papers from the Web of Science Core Collection (WSCC) database are selected and reviewed, from 2004 to 2017, related to energy sustainability issues and MCDM methods. All the selected papers were categorized into 9 fields by the application area and into 10 fields by the used method. After the categorization of the scientific articles and detailed analysis, SWOT analysis of MCDM approaches in dealing with sustainable energy development issues is provided. The widespread application and use of MCDM methods confirm that MCDM methods can help decision-makers in solving energy sustainability problems and are highly popular and used in practice.

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Section: Abotah and Daimmentioning

confidence: 99%

An Overview of Multi-Criteria Decision-Making Methods in Dealing with Sustainable Energy Development Issues

et al. 2018

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“…In another work [24], a DM process for conceptual planning and project evaluation in the oil and gas industry was presented where the set of strategic decisions is generated by a binary genetic algorithm. In [25] , DM processes of industrial and environmental concerns was evaluated with a game theoretic approach where Industry and Environment were considered as two players with conflicting interest to find optimal strategies in governing energy policy. A bi-level, complete-information, matrix game-theoretic model was proposed in [26] to assess the economic impact and make operational decisions in carbon-constrained restructured electricity markets.…”

Section: Introductionmentioning

confidence: 99%

Non-cooperative game-theoretic model of demand response aggregator competition for selling stored energy in storage devices

2017

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“…Arnette and Zobel [41] proposed a multi-objective linear programming (MOLP) model to define the optimal mix of RES and existing fossil fuel plants on a regional basis. Aplak and Sogut [42] introduced a mixed methodology of fuzzy decision-making and game theory in energy management decision-making. Chen, et al [43] combined interval linear programming and integer linear programming technique for regional optimization of energy systems.…”

Section: Biomass Energymentioning

confidence: 99%

Turkey’s 2023 Energy Strategies and Investment Opportunities for Renewable Energy Sources: Site Selection Based on ELECTRE

Erdin

Özkaya

2019

Sustainability

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In Turkey, current energy generations are not sufficient for the existing energy needs and besides, energy demand is expected to increase by 4–6 percent annually until 2023. Therefore, the government aims to increase the ratio of renewable energy resources (RES) in total installed capacity to 30 percent by 2023. By this date, total energy investments are expected to be approximately $110 billion. Turkey is the fastest growing energy market among the OECD countries. Therefore, Turkey is an attractive market for energy companies and investors. At this stage, site selection and deciding appropriate RES are the most important feasibility parameters for investment. In this study, “Site Selection in Turkey” issue for RES (solar, wind, hydroelectric, geothermal, biomass) is evaluated by the ELECTRE which is one of the Multi Criteria Decision Making (MCDM) methods. In addition, the reasons for choosing this method are explained according to the literature. The study emphasizes the importance of energy generation from renewable and sustainable sources and is concerned with improving the position of the country. The Turkish government offers many purchasing guarantees and high incentives, especially in the renewable energy sector. As a result of the analysis, the most suitable energy sources are presented according to the geography and energy potential of the regions. The study aims to inform energy firms and everyone related with RES about Turkey’s RES opportunities.

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Game theory approach in decisional process of energy management for industrial sector

Cited by 57 publications

References 10 publications

An Overview of Multi-Criteria Decision-Making Methods in Dealing with Sustainable Energy Development Issues

An Overview of Multi-Criteria Decision-Making Methods in Dealing with Sustainable Energy Development Issues

Non-cooperative game-theoretic model of demand response aggregator competition for selling stored energy in storage devices

Turkey’s 2023 Energy Strategies and Investment Opportunities for Renewable Energy Sources: Site Selection Based on ELECTRE

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