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

• Published in: Energy conversion and management Vol. 258; p. 115541
• Main Authors: Li, Ling-Ling, Ren, Xin-Yu, Tseng, Ming-Lang, Wu, Ding-Shan, Lim, Ming K.
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 15.04.2022; Elsevier Science Ltd
• Subjects: Air pollution; Algorithms; Arithmetic; Batteries; Carbon dioxide; Carbon dioxide emissions; Cooling; Cooling systems; Electrical loads; Emissions; Emissions control; Energy conservation; Energy efficiency; Following the state of battery strategy; Fossil fuels; Heating; Hybrid combined cooling, heating and power system; Hybrid systems; Mathematical models; Multi-objective arithmetic optimization algorithm; Multiple objective analysis; Mutation; Optimization; Optimization algorithms; Performance evaluation; Photovoltaics; Pollutants; Power consumption; Power management; Solar collectors; Solar heating; Solar thermal collectors; Sorting algorithms; Storage batteries; Storage units; Thermal analysis; Thermal storage; Multi-objective arithmetic optimization algorithm; Hybrid combined cooling, heating and power system; Solar thermal collectors; Following the state of battery strategy
• ISSN: 0196-8904; 1879-2227
• DOI: 10.1016/j.enconman.2022.115541

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