摘要
气象年数据是建筑能耗模拟的基础参数。基于10年期城市气象站逐时实测数据制作了湿热地区代表城市广州和西沙的测试参考年(TRY),并通过模拟验证了具有较好的长期代表性。在TRY基础上通过气象参数偏移形成对比模型组,评估各气象要素对建筑能耗的影响权重,结果表明空气温度和太阳辐射对建筑能耗有主导影响,对广州相对影响权重全年均值(IFw.mean)分别为44.81%和40.62%,对西沙相应值为28.70%和57.11%;相对湿度影响具有季节性,对广州和西沙IFw.mean分别为11.30%和8.98%;风速影响对广州不明显,对西沙则有一定幅度提高,IFw.mean分别为3.28%和5.21%。为湿热地区的建筑能耗模拟提供了气象数据支持,为建筑节能设计提供参考。
Numerical simulation could analyze building energy consumption and provide support for formulation of energy-saving building strategies.However,it requires accurate energy models.Meteorological data which can characterize local climate conditions accurately is essential for energy models.With references to international experiences,China determined meteorological parameters which can support simplified assessment of building thermal performances in early stage.With the construction of city weather stations(CWSs)and data accumulation in recent years,it is feasible to carry out more refined studies on building meteorological data.This study is devoted to the development of the latest meteorological reference year data for building energy consumption simulation in hot and humid areas while investigating the influences of meteorological parameters on building energy consumption in these areas.Guangzhou and Xisha are chosen as the representative cities in hot and humid areas.With references to methods recommended by ISO 15927-4,the most representative 12"typical months"were chosen from the hourly measurement data(CWS)of urban meteorological stations from 2010 to 2019according to values of air temperature,relative humidity(RH),solar radiation and wind speed.These 12"typical months"were combined into a complete test reference year(TRY)to provide basic parameters for building energy consumption simulation.Representativeness of TRY was assessed through a comparative simulation of model groups which used 1-year TRY and 10-year CWS meteorological data as the climatic conditions.Compared to simulation results of CWS group,refrigeration needs of TRY group in Guangzhou and Xisha were overestimated by 3.68%and 1.71%,respectively.The monthly values were close to mean values of the CWS group.Except for 11.58%and 5.96%overestimation in dehumidification demand,the monthly values reached the maximum value of CWS group within certain months.The difference between the 1-year simulation results of TRY model group and the 10-year simula
作者
黄祖坚
詹峤圣
HUANG Zujian;ZHAN Qiaosheng
出处
《南方建筑》
CSCD
北大核心
2024年第6期96-106,共11页
South Architecture
基金
国家自然科学基金资助项目(52278020):植物基建材工程应用的低碳设计基础研究
广东省自然科学基金面上项目(2023A1515012131):湿热地区关键气候要素对建筑外墙构造热湿耐久性的影响机制研究
广州市科技计划资助项目(202201010295):广州建筑热湿模拟“热湿参考年”气象数据取值研究
亚热带建筑与城市科学全国重点实验室资助项目(2023ZB07):亚热带社区尺度10~102量级建筑碳排放计算方法与低碳营建研究
亚热带建筑与城市科学全国重点实验室资助项目(2022KA01):亚热带中观尺度城市大型工程绿色营建理论与方法研究。
关键词
空气温度
太阳辐射
相对湿度
风速
建筑能耗
测试参考年
air temperature
solar radiation
relative humidity
wind speed
building energy consumption
test reference year
