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Optimal sizing of power generation unit capacity in ICE-driven CCHP systems for various residential building sizes

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  • Farahnak, Mehdi
  • Farzaneh-Gord, Mahmood
  • Deymi-Dashtebayaz, Mahdi
  • Dashti, Farshad

Abstract

Currently, CCHP systems are being used over a wide area as a key alternative for producing power, heat and refrigeration. Here, a sample residential building in Mashhad city (Iran) has been selected as a case study to investigate feasibility of employing CCHP systems to meet the energy demands for various buildings sizes. An optimization algorithm is developed to find the best operation point of the Power Generation Unit (PGU) at minimum energy cost. The algorithm optimizes the operation of the CCHP systems at first step. The results of the algorithm implementation for different PGU capacities and various buildings sizes, demonstrate the performance of the operationally optimized CCHP systems at second step. The results show that CCHP system has higher performance comparing to the separate production system considering different evaluation parameters. In small buildings, primary energy saving ratio is positive for PGU capacities between 1kW and 15kW, with a maximum amount of 17.24%. But in large buildings, it is positive for PGU capacities between 1kW and 30kW, with a maximum amount of 5.1%. The PGU with capacity of 350kW in 30-units building by 51.18% has the highest amount of energy cost saving ratio. The CCHP system with 120kW PGU capacity in 30-units building has the least simple payback ratio by 5.08years. Considering each parameter individually, it is showed that there are some useful mathematical relationships between optimum PGU capacity and building size. Also it is found that there is an equation for best optimum PGU capacity, considering all of evaluation criteria simultaneously.

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  • Farahnak, Mehdi & Farzaneh-Gord, Mahmood & Deymi-Dashtebayaz, Mahdi & Dashti, Farshad, 2015. "Optimal sizing of power generation unit capacity in ICE-driven CCHP systems for various residential building sizes," Applied Energy, Elsevier, vol. 158(C), pages 203-219.
    • Handle: RePEc:eee:appene:v:158:y:2015:i:c:p:203-219
    DOI: 10.1016/j.apenergy.2015.08.050
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    7. Chen, Yuzhu & Xu, Jinzhao & Wang, Jun & Lund, Peter D., 2021. "Exergo-environmental cost optimization of a combined cooling, heating and power system using the emergy concept and equivalent emissions as ecological boundary," Energy, Elsevier, vol. 233(C).
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    9. Zheng, C.Y. & Wu, J.Y. & Zhai, X.Q. & Wang, R.Z., 2016. "Impacts of feed-in tariff policies on design and performance of CCHP system in different climate zones," Applied Energy, Elsevier, vol. 175(C), pages 168-179.
    10. Zhu, Xingyi & Zhan, Xiangyan & Liang, Hao & Zheng, Xuyue & Qiu, Yuwei & Lin, Jian & Chen, Jincan & Meng, Chao & Zhao, Yingru, 2020. "The optimal design and operation strategy of renewable energy-CCHP coupled system applied in five building objects," Renewable Energy, Elsevier, vol. 146(C), pages 2700-2715.
    11. Jabari, Farkhondeh & Nojavan, Sayyad & Mohammadi Ivatloo, Behnam, 2016. "Designing and optimizing a novel advanced adiabatic compressed air energy storage and air source heat pump based μ-Combined Cooling, heating and power system," Energy, Elsevier, vol. 116(P1), pages 64-77.
    12. Teymoori Hamzehkolaei, Fatemeh & Amjady, Nima, 2018. "A techno-economic assessment for replacement of conventional fossil fuel based technologies in animal farms with biogas fueled CHP units," Renewable Energy, Elsevier, vol. 118(C), pages 602-614.
    13. Zheng, Xuyue & Wu, Guoce & Qiu, Yuwei & Zhan, Xiangyan & Shah, Nilay & Li, Ning & Zhao, Yingru, 2018. "A MINLP multi-objective optimization model for operational planning of a case study CCHP system in urban China," Applied Energy, Elsevier, vol. 210(C), pages 1126-1140.
    14. Flórez-Orrego, Daniel & Albuquerque, Cyro & da Silva, Julio A.M. & Freire, Ronaldo Lucas Alkmin & de Oliveira Junior, Silvio, 2021. "Optimal design of power hubs for offshore petroleum platforms," Energy, Elsevier, vol. 235(C).
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