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A new application of multi criteria decision making in energy technology in traditional buildings: A case study of Isfahan

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  • Hosseini Dehshiri, Seyyed Shahabaddin

Abstract

The use of hybrid renewable energy has increased in recent years due to the growing environmental concerns caused by the consumption of fossil fuels. The purpose of this study was the economic-environmental feasibility of using hybrid energy systems in one of the most polluted and populated provinces in Iran, Isfahan province. Various components of the hybrid energy system such as wind turbine (WT), photovoltaic panel (PV), diesel generator (DG), converter (CV) along with two scenarios of energy storage including battery (BT) and hydrogen storage have been considered in modeling the energy system. Six scenarios were considered based on the combination of different components for supplying electricity in the building. The size of the components in the scenarios was optimized based on the minimum cost using HOMER software. Due to the technical, economic and environmental differences between the scenarios, multi-criteria decision making (MCDM) methods were used to prioritize them. The MCDM results revealed that the PV-WT-CV-BT system was the most suitable system with a cost of 0.947 $/kWh. Also, among the hydrogen storage scenarios, the most suitable system was PV-CV-electrolyzer-hydrogen tank-fuel cell with a cost of 1.898 $/kWh.

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  • Hosseini Dehshiri, Seyyed Shahabaddin, 2022. "A new application of multi criteria decision making in energy technology in traditional buildings: A case study of Isfahan," Energy, Elsevier, vol. 240(C).
    • Handle: RePEc:eee:energy:v:240:y:2022:i:c:s0360544221030632
    DOI: 10.1016/j.energy.2021.122814
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    2. Hosseini Dehshiri, Seyyed Shahabaddin & Firoozabadi, Bahar, 2022. "A new application of measurement of alternatives and ranking according to compromise solution (MARCOS) in solar site location for electricity and hydrogen production: A case study in the southern clim," Energy, Elsevier, vol. 261(PB).
    3. Miao, Huiying & Yu, Yadong & Kharrazi, Ali & Ma, Tieju, 2023. "Multi-criteria decision analysis for the planning of island microgrid system: A case study of Yongxing island, China," Energy, Elsevier, vol. 284(C).
    4. Barnaś, Krzysztof & Jeleński, Tomasz & Nowak-Ocłoń, Marzena & Racoń-Leja, Kinga & Radziszewska-Zielina, Elżbieta & Szewczyk, Bartłomiej & Śladowski, Grzegorz & Toś, Cezary & Varbanov, Petar Sabev, 2023. "Algorithm for the comprehensive thermal retrofit of housing stock aided by renewable energy supply: A sustainable case for Krakow," Energy, Elsevier, vol. 263(PD).

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