Research On The Optimization Of CCHP-GSHP Deeply Coupling System

Since the 21 st century,the total energy consumption of construction industry owning rapid growth and huge amount has become a key factor of economic and social development in China,more than half of which is the energy consumption of air conditioning system and it continues to increase with the improvement of the quality of indoor living;therefore it is of vital importance for the application of the clean and efficient air conditioning system and the better energy-using technology.Combined Cooling,Heating and Power system(CCHP)and Ground Source Heat Pump system(GSHP)both satisfy these standards,and the energy system coupling CCHP and GSHP in form can make up for the problems appearing when they operate alone,which can take use of energy reasonably,improve the comprehensive performance of the system and ensure the continuous and efficient operation of the system,but the coupling system also has shortcomings.Aiming at improvement in the insufficient utilization of waste heat for the CCH PGSHP coupling system(Coupling System),the CCHP-GSHP deeply coupling system(Deeply Coupling System)is presented.Taking the international hotel in Huaian as the research project,the model to calculate and predict the distribution of the whole year hourly load is completed,then models for optimal configuration of the Deeply Coupling System and the Coupling System are established in following thermal load strategy(FTL)by comparison with the separated generated system,the optimization goal of which is evaluated on the comprehensive evaluation and indicator.In the MATLAB the optimal configuration of the Deeply Coupling System and the Coupling System is transformed into the optimal solution of the numerical models,and genetic algorithm is selected to achieve the goal.The best optimization algorithm can be obtained by comparing the optimal process and the corresponding solution of the simple genetic algorithm(SGA),the multi-population genetic algorithm(MPGA)and the quantum genetic algorithm(QGA),meanwhile the differences of the comprehensive performance of the Deeply Coupling System and the Coupling System can also be achieved after the completion of optimal configuration.The best algorithm is applied to solve the numerical models for optimal configuration of the Deeply Coupling System and the Coupling System in different operating strategies,the analyses on the differences of optimal configuration and the corresponding reasons are made,then the best operating strategy can also be achieved after the comparison of the comprehensive performance in optimal configuration of five operating strategies.According to the results,the evolution processes and the optimal solutions of three optimal algorithm are obviously different,and the MPGA can be the best one for its advantages on the stability of the evolution processes and the accuracy of the optimal solutions.Comparing the optimal solutions of the Deeply Coupling System and the Coupling System,it is clear that the Deeply Coupling System has better comprehensive performance than that of Coupling System.Operating strategy is vital important for the comprehensive performance of the energy system,following maximum comprehensive performance of the energy system(Max-cp)strategy can get the comprehensive performance value of the Deeply Coupling System and the Coupling System up to be the largest one,which can be the best one among all the strategies.Moreover,the Deeply Coupling System has better comprehensive performance than that of the Coupling System in five different strategies,thus it is clear that the deeply coupling form is meaningful.The novel coupling system,the feasible optimal algorithm and the suitable operating strategies are presented in this paper,which may provide a guideline for the theoretical research and practical application of the Deeply Coupling System.