Research on the operation strategy of top-floor radiation cooling coupled with fresh air supply system based on multi-objective optimization and entropy weight decision-making
HAN Xiangyu
LI Wei
ZHANG Zhenlu
WEI Wei
YIN Dawei
Abstract：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.
Keywords：top-floor radiation coolingfresh air supply systemmulti-objective optimizationentropy weightthermal comfort
Publication Date：2026-02-25
Online Publishing Date：2026-03-31(First online date of this platform, not the publication date of the document)
Pages：5( 11-15 )