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<p>In the present study, a combined cooling, heating, and power (CCHP) system, along with solar and geothermal energy as renewable energy sources, has been used to meet the fourfold needs of heating, cooling, electricity, and fresh water for a residential complex in Bandar Abbas, Hormozgan Province, Iran. Focusing on the selection of the system’s prime mover from among diesel engines, gas turbines, and gas engines, MATLAB software was used to model a genetic algorithm with 27 design variables for system optimization. The total annual cost (TAC) was chosen as the objective function for minimization. The results show that the annual cost using gas turbines, diesel engines, and gas engines is 1.8856, 1.5511, and 1.0455 million dollars per year, respectively, meaning that the use of gas engines improved the performance of the objective function by 44.6% and 32.6% compared to gas turbines and diesel engines, respectively. Also, the capacity of the selected gas engine is 4300 kW, and the capacity of the auxiliary boiler for the system is 1900 kW. In this system, 3000 solar thermal panels and 5000 photovoltaic panels with the specified characteristics have also been used.</p>

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Optimization and prime mover selection in multi-generation system using renewable energy with fresh water produce

  • 期刊论文

  • 发表日期：

    2025年10月3日

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  • Amir Hossein Forghani,
  • Alireza Arabsolghar,
  • Hassan Hajabdollahi

摘要

In the present study, a combined cooling, heating, and power (CCHP) system, along with solar and geothermal energy as renewable energy sources, has been used to meet the fourfold needs of heating, cooling, electricity, and fresh water for a residential complex in Bandar Abbas, Hormozgan Province, Iran. Focusing on the selection of the system’s prime mover from among diesel engines, gas turbines, and gas engines, MATLAB software was used to model a genetic algorithm with 27 design variables for system optimization. The total annual cost (TAC) was chosen as the objective function for minimization. The results show that the annual cost using gas turbines, diesel engines, and gas engines is 1.8856, 1.5511, and 1.0455 million dollars per year, respectively, meaning that the use of gas engines improved the performance of the objective function by 44.6% and 32.6% compared to gas turbines and diesel engines, respectively. Also, the capacity of the selected gas engine is 4300 kW, and the capacity of the auxiliary boiler for the system is 1900 kW. In this system, 3000 solar thermal panels and 5000 photovoltaic panels with the specified characteristics have also been used.