论文部分内容阅读
以系统性能COP和效率ηe作为综合优化目标函数,选取热源温度、循环平均压力、冷热腔容积比和转速作为决策变量。在决策变量的约束条件内,采用Matlab软件和NSGA-Ⅱ算法,得到Pareto最优前端,利用TOPSIS优选方法优选COP和效率ηe综合指标最佳的工况。对于以上4个决策变量,热源温度对目标函数的影响最大,冷热腔容积比与转速影响相对较小,循环平均压力的影响最小。因此在实际运行中,应首先保证热源温度恒定。
Taking the system performance COP and the efficiency ηe as the comprehensive optimization objective functions, the heat source temperature, the average pressure of the circulation, the volumetric ratio of the hot and cold cavities and the rotational speed are selected as the decision variables. In the constraints of decision variables, using the Matlab software and NSGA-Ⅱ algorithm, the Pareto optimal front end is obtained, and the optimal operating conditions of COP and efficiency ηe are selected by TOPSIS optimization method. For the above four decision variables, the temperature of the heat source has the greatest influence on the objective function, the volumetric ratio of the hot and cold chambers has a relatively small effect on the rotational speed, and the effect of the average circulating pressure is minimal. Therefore, in actual operation, should first ensure that the heat source temperature is constant.