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湿热地区办公建筑制冷能耗多目标优化研究

张国俊 丁栋 刘俊旭 张虎 陈龙龙 寇浩

河北工业科技2026,Vol.43Issue(3):254-262,9.
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河北工业科技2026,Vol.43Issue(3):254-262,9.DOI:10.7535/hbgykj.2026yx03007

湿热地区办公建筑制冷能耗多目标优化研究

Multi-objective optimization of office building cooling energy consumption in hot and humid regions

张国俊 1丁栋 2刘俊旭 1张虎 2陈龙龙 1寇浩1

作者信息

  • 1. 国家能源集团煤焦化有限责任公司,内蒙古乌海 016000
  • 2. 中煤科工西安研究院(集团)有限公司,陕西西安 710077||西安煤科地热能开发有限公司,陕西西安 710077
  • 折叠

摘要

Abstract

In response to the issue of increasing building energy consumption caused by climate change and to enhance the energy resilience of office buildings in hot and humid regions,a multi-objective parameter optimization of cooling energy consumption was conducted from the climate-adaptive perspective.Focusing on a typical office building in Guangzhou,building energy consumption simulation was performed using EnergyPlus,and a sensitivity analysis of key design and operational parameters was carried out with jEPlus.Subsequently,the jEPlus+EA platform integrating the NSGA-Ⅱ multi-objective genetic algorithm was employed to perform a synergistic optimization of key parameters,including infiltration rate,glazing solar transmittance,building orientation,fresh air volume,and cooling setpoint.The results indicate that a 0.4~0.7℃increase in the outdoor dry-bulb temperature on air-conditioning design days leads to an approximately 4.6%rise in building energy consumption.Sensitivity analysis shows that indoor cooling setpoint temperature,solar radiation transmittance,infiltration air volume,fresh air volume,and building orientation are the main factors affecting building cooling energy consumption.The multi-objective optimization yields a Pareto optimal solutions balancing cooling energy consumption and thermal comfort.The optimal solutions can effectively reduce cooling energy consumption by 10.6%~16.8%while meeting basic thermal comfort requirements,corresponding to a carbon reduction of 3.6%~5.7%.This research demonstrates that developing synergistic strategies through multi-objective optimization can not only offset the energy consumption increase induced by climate change,but also provide a quantitative decision-making basis for the energy-efficient design and adaptive operation of buildings in hot and humid regions.

关键词

通风与空调工程/办公建筑/制冷能耗/多目标优化/NSGA-Ⅱ/EnergyPlus

Key words

ventilation and air conditioning engineering/office building/cooling energy consumption/multi-objective optimi-zation/NSGA-Ⅱ/EnergyPlus

分类

建筑与水利

引用本文复制引用

张国俊,丁栋,刘俊旭,张虎,陈龙龙,寇浩..湿热地区办公建筑制冷能耗多目标优化研究[J].河北工业科技,2026,43(3):254-262,9.

基金项目

陕西省重点研发计划项目(2024PT-ZCK-70) (2024PT-ZCK-70)

中煤科工西安研究院(集团)有限公司科技创新基金项目(2023XAYJS20) (集团)

河北工业科技

1008-1534

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