Document Type : Original Article


Department of Engineering, Texas Tech University, Lubbock, TX 79409, USA



A new technique is prsented in this paper for optimum design of a combined cooling heating and power (CCHP) system. The prime mover in this study is a gas turbine and this is designed for a rural area in Zhaoping County, Guangxi, China. The effectiveness of the method is assessed based on four main parameters: exergetic, energetic, economic, and environmental features. A Modified Group Teaching Optimization Algorithm (MGTO)is utilized for achieving resuls with better accuracy and convergence. The achievements of the suggested MGTO-based technique are put in comparison with genetic optimizer-based method and improved owl optimization algorithm-based method to illustrate the method higher efficiency.


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