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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

韩翔宇 李伟 张振鲁 魏伟 尹大伟

节能2026,Vol.45Issue(2):11-15,5.
节能2026,Vol.45Issue(2):11-15,5.DOI:10.3969/j.issn.1004-7948.2026.02.003

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

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

韩翔宇 1李伟 2张振鲁 3魏伟 2尹大伟1

作者信息

  • 1. 济南市交通工程质量与安全中心,山东 济南 250101
  • 2. 中铁十局集团城建工程有限公司,山东 烟台 265599
  • 3. 济南国际机场建设有限公司,山东 济南 250107
  • 折叠

摘要

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.

关键词

顶板辐射供冷/新风系统/多目标优化/熵权/热舒适

Key words

top-floor radiation cooling/fresh air supply system/multi-objective optimization/entropy weight/thermal comfort

分类

建筑与水利

引用本文复制引用

韩翔宇,李伟,张振鲁,魏伟,尹大伟..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[J].节能,2026,45(2):11-15,5.

节能

1004-7948

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