Document Type : Original Article


College of Engineering, University of Miami, Coral Gables, FL 33146, USA



The main idea of this paper is to multi-criteria optimal designing of a combined cooling, heat and power (CCHP) system in an industrial unit by considering cooling loads, electricity, and heating. Different scenarios such as selling scenarios, no-selling scenario, as well as the possibility of electricity selling with identical capacities of the gas engine have been utilized. Because of the complexity of this problem, a new developed metaheuristic methodology, called Balanced Tree Growth Algorithm (BTGA) is designed and utilized. Relative Annual Benefit (RAB) as a multi-criterion function along with a gas engine is utilized as the primary mover during the optimization. Final simulation indicate that the proposed approach has well results toward the method from the literature. The results also specified that however using of the proposed configuration gives suitable results for different scenarios, selling scenario is more profitable.


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