Document Type : Original Article


Sharif University of Technology, Tehran, Iran



This paper proposes a new methodology for optimal sizing of a combined cooling heating and power (CCHP) system with a gas turbine as its primary mover in a residential building in Xihu area in Hangzhou, Zhejiang, China. Due to the significant impact of four substantial parameters including energetic, exergetic, environmental, and economic (4E), their features are used during the gas engine size optimization of the CCHP system. The paper also proposes a new modified version of the Farmland Fertility Optimization (FFO) Algorithm to solve the sizing problem. The new algorithm is designed to resolve the premature convergence and the local optimum of the basic algorithm. The results of the proposed MFFO-based system compared with the GA-based system and the basic FFO-based system. Simulation results show that the optimal cost value for the MFFO, FFO, and the GA are 0.191, 0.191, and 0.192, respectively that are achieved after 25, 35, and 50 iterations. This shows the effectiveness of the proposed method in terms of convergence and accuracy.


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