基于多目标优化与熵权决策的顶板辐射供冷耦合新风系统运行策略研究OA

For the optimization of operating parameters of the top-floor radiation cooling coupled with fresh air supply system,a multi-objective optimization and decision-making method is proposed.The non-dominated sorting genetic algorithm(NSGA-Ⅱ)is applied,with system energy consumption and the expected dissatisfaction percentage(PPD)as the objective functions for optimization.Pareto optimal solution sets under different personnel numbers are generated,and the entropy weight-approaching ideal solution sorting(EW-TOPSIS)decision-making model is introduced to objectively determine the global optimal configuration.The results show that in the low-load condition with 3 people and the high-load condition with 7 people,energy consumption is the dominant factor in decision-making,with weights of 0.70 and 0.76,respectively.While in the medium-load condition with 5 people,the importance of thermal comfort increases,with a weight of 0.32.After optimization,the system tends to adopt a higher supply water temperature and a lower supply water flow rate,and adjusts the supply air temperature and supply air volume to cope with different load changes,providing a reference for the energy-saving and comfortable operation of the radiation air conditioning system in variable working conditions.