Performance evaluation of solar hybrid combined cooling, heating and power systems: A multi-objective arithmetic optimization algorithm

The coupling of solar thermal and photovoltaic technologies with combined cooling, heating power systems has significant impacts on the reduction fossil fuel consumption pollutant emissions. In this study, a mathematical model hybrid heating, system consisting storage units, batteries, microturbines, collectors, is developed. Meanwhile, based following load strategy electric strategy, state battery proposed. A multi-objective arithmetic optimization algorithm proposed by using non-dominated sorting, mutation operations, external archive mechanism to optimize configuration under different strategies. Besides, an optimal compromise obtained technique for order preference similarity ideal solution method. large hotel case used evaluate performance results show that Pareto solutions developed are uniformly distributed. Moreover, compared strategies, achieves better primary energy saving ratio, carbon dioxide emission efficiency, these indicators reach 46.56%, 54.64%, 78.51%, respectively.