Multi-objective optimization of water tank of carbon dioxide heat pump water heater based on improved nondominated sorting genetic algorithm
Yingjie XU1, Enteng LI1, Yuangong HUANG2, Xiaohong HAN3, Qin WANG3, Guangming CHEN3.
1 Institute of Process Equipment and Control Engineering, Zhejiang University of Technology, Hangzhou, People's Republic of China; 2Zhejiang Zhenglishengneng Co. Ltd., Wenzhou, People's Republic of China; 3Institute of Refrigeration and cryogenics, Zhejiang University, Hangzhou, People's Republic of China
CO2 heat pump water heater (CHPWH) is a hot topic due to its merit in energy and environment. However, study on water tank considering energetic, economic, environmental and practical performances at one time, has been rarely reported. Therefore, a multi-objective optimization analysis, considering the above 4 aspects, is conducted under typical Chinese climate. The study is conducted with tank size range of 100-500 L. The elitist non-dominated sorting genetic algorithm (NSGA-II) is used with important factors considered, such as heat leak. Finally, a Pareto front of multi-objective solutions is obtained. The optimized system can save about 10% of electricity and 12% economic cost under nominated condition.
