Performance analysis and optimization of a CCHP-GSHP coupling system based on quantum genetic algorithm

A combined cooling, heating and power (CCHP) and ground source heat pump (GSHP) coupling system with heat exchanger is presented to enhance the comprehensive performance, which was compared with the CCHP-GSHP system without heat exchanger in performance. Using the comprehensive evaluation and indicator consisting of life cycle cost saving rate and primary energy consumption saving ratio compared with separated generation system (SG), quantum genetic algorithm (QGA) and simple genetic algorithm (SGA) were selected to solve the optimization problem of the coupling system for a case study of a hotel building. It indicates that QGA is better than SGA in solution for optimal configuration of energy system under following thermal load (FTL) strategy. The optimal configuration of the coupling system are obtained. Five operating strategies were employed to analyze energy performance of the system. The results illustrated that the new strategy, following maximum comprehensive performance of the energy system (Max-cp) strategy is the best one to enhance the comprehensive performance, and the maximal index value of comprehensive performance is 0.43264 for the CCHP-GSHP coupling system. The configuration of the energy system and the suitable operating strategies may provide reference for further research and application.