This study presents a new technique for optimal sizing of the gas turbine as the primary mover of a combined cooling heating and power (CCHP) system in a selected commercial building. Because of the vital effect of four substantial parameters including energetic, energetic, economic, and environmental (4E analysis), they used for optimum sizing of the gas engine for the CCHP system. The optimization process has been performed by a newly developed meta-heuristic, called Opposition-Based Learning and Lévy flight owl search algorithm (OLOSA) for ...
