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The present study proposes an optimal design of combined cooling, heating, and power systems (CCHP) for a watersport complex. The main purpose is to reduce the energy losses in economic, energy, and environmental terms of view. The method has been established by optimizing the nominal capacity of the CCHP components for the watersport complex. The design parameters for proper configuration include the number of gas engines and their nominal capacity, boiler heating capacity, partial load, and the cooling capacity of the electric and absorption chillers, which should be selected optimally by the relation annual benefit based on two different scenarios of considering and not considering the capability of selling the extra electrical power to the network. To provide optimal results for the system, an improved metaheuristic technique called the developed African Vulture Optimization (dAVO) algorithm has been utilized. The results of the actual annual benefit for the suggested method are compared with different state-of-the-art methods to show the method’s superiority. The results show that without considering the CCHP system, the total cost of electricity purchasing equals 420959 $/year, while the cost function value is achieved positive, which shows the positive effect of the CCHP system in reducing the system costs.

Optimal modeling of combined cooling, heating, and power systems using developed African Vulture Optimization: a case study in watersport complex