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A combined decision-making framework for techno-enviro-economic assessment of a commercial CCHP system

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  • Ghodusinejad, Mohammad Hasan
  • Lavasani, Zahra
  • Yousefi, Hossein

Abstract

Modeling of energy systems in the building sector is one of the most fundamental topics in energy systems engineering. Multi-criteria decision-making methods have also had many applications in this field. This paper models an energy system regarding combined cooling, heating and power (CCHP). In his regard, for a commercial building, the energy system was modeled in six different scenarios. Then, using multi-criteria decision-making methods and considering economic, technical and environmental indicators, scenarios were analyzed and ranked. To obtain the criteria weights, the CRITIC and Shannon's Entropy methods were used, and by introducing a novel weight integration method, the weights were combined to obtain the final weights. Finally, the scenarios were ranked using the EDAS method. The results revealed by changing from scenario S1 to S6, economic indicators decrease and the values of net present cost, levelized cost of electricity and operating cost lower by 38.64%, 36.14% and 40%, respectively. It is also shown that the combination of solar system, grid, boiler and electric chiller as well as solar system, grid, boiler, gas generator and absorption chiller were the most favorable energy systems for the building.

Suggested Citation

  • Ghodusinejad, Mohammad Hasan & Lavasani, Zahra & Yousefi, Hossein, 2023. "A combined decision-making framework for techno-enviro-economic assessment of a commercial CCHP system," Energy, Elsevier, vol. 276(C).
  • Handle: RePEc:eee:energy:v:276:y:2023:i:c:s0360544223010034
    DOI: 10.1016/j.energy.2023.127609
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    References listed on IDEAS

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    1. Hossein Yousefi & Mohammad Hasan Ghodusinejad & Armin Ghodrati, 2022. "Multi-Criteria Future Energy System Planning and Analysis for Hot Arid Areas of Iran," Energies, MDPI, vol. 15(24), pages 1-25, December.
    2. Ma, Weiwu & Fang, Song & Liu, Gang, 2017. "Hybrid optimization method and seasonal operation strategy for distributed energy system integrating CCHP, photovoltaic and ground source heat pump," Energy, Elsevier, vol. 141(C), pages 1439-1455.
    3. Ghersi, Djamal Eddine & Amoura, Meriem & Loubar, Khaled & Desideri, Umberto & Tazerout, Mohand, 2021. "Multi-objective optimization of CCHP system with hybrid chiller under new electric load following operation strategy," Energy, Elsevier, vol. 219(C).
    4. Alireza Alinezhad & Javad Khalili, 2019. "New Methods and Applications in Multiple Attribute Decision Making (MADM)," International Series in Operations Research and Management Science, Springer, number 978-3-030-15009-9, December.
    5. Yang, G. & Zhai, X.Q., 2019. "Optimal design and performance analysis of solar hybrid CCHP system considering influence of building type and climate condition," Energy, Elsevier, vol. 174(C), pages 647-663.
    6. Al-Sulaiman, Fahad A. & Hamdullahpur, Feridun & Dincer, Ibrahim, 2012. "Performance assessment of a novel system using parabolic trough solar collectors for combined cooling, heating, and power production," Renewable Energy, Elsevier, vol. 48(C), pages 161-172.
    7. Indre Siksnelyte-Butkiene & Edmundas Kazimieras Zavadskas & Dalia Streimikiene, 2020. "Multi-Criteria Decision-Making (MCDM) for the Assessment of Renewable Energy Technologies in a Household: A Review," Energies, MDPI, vol. 13(5), pages 1-22, March.
    8. Ren, Fukang & Wei, Ziqing & Zhai, Xiaoqiang, 2021. "Multi-objective optimization and evaluation of hybrid CCHP systems for different building types," Energy, Elsevier, vol. 215(PA).
    9. Jaemin Park & Haesung Jo & Insu Kim, 2021. "The Selection of the Most Cost-Efficient Distributed Generation Type for a Combined Cooling Heat and Power System Used for Metropolitan Residential Customers," Energies, MDPI, vol. 14(18), pages 1-25, September.
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