基于模糊层次分析法的太阳能-空气源热泵复合供暖系统多目标优化

为减小太阳能空气源热泵供暖系统的综合成本和碳排放量,提高热泵运行效率及太阳能使用率,提出一种基于模糊层次分析法的多目标优化设计方法。采用TRNSYS,搭建复合供暖系统仿真模型,通过参数化分析选出7个系统参数作为优化变量,提出复合供暖系统综合评价指标,运用模糊层次分析法确定每个因素的权重并定义综合目标函数并通过正交试验法得到最终优化方案。通过仿真试验对比复合供暖系统优化前后的运行性能,验证了该优化方法的有效性。

MULTI-OBJECTIVE OPTIMIZATION OF AIR-SOLOAR SOURCE HEAT PUMP COMBINED HEATING SYSTEM BASED ON FUZZY ANALYTIC HIERARCH PROCESS

To reduce the comprehensive cost and carbon emissions of the solar air source heat pump heating system and to improve the operation efficiency of the heat pump and the utilization rate of solar energy, a multi-objective optimization design method based on a fuzzy analytic hierarchy process is proposed. First, establish a composite heating system simulation model using TRNSYS, select 7 system parameters as optimization variables through parametric analysis. Secondly, propose a comprehensive evaluation index for the composite heating system, use the fuzzy analytic hierarchy process to determine the weight of each factor, and define a comprehensive objective function. Finally, the final optimized scheme was obtained by the orthogonal experiment method. The effectiveness of the optimization method is verified by simulation test to compare the performance of the composite heating system before and after optimization.