湿热地区办公建筑制冷能耗多目标优化研究OA

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.