空调冷负荷影响因素相关分析

Correlation Analysis on Influencing Factors of Cooling Load

基于西安某典型建筑的空调运行冷负荷值和相应的气象数据,利用相关分析的方法,综合分析了太阳辐射、室外温度、室外相对湿度、室外风速、天气状况、星期几以及前一日的冷负荷值等影响因素对空调冷负荷的影响,研究结果表明:空调冷负荷与前一日的空调负荷值呈现出高度相关(r=0.847,P<0.0001),与室外温度呈现中度相关(r=0.6003,P<0.0001)。与太阳辐射(r=0.4136,P=0.0001)、室外相对湿度(r=-0.3257,P=0.003)和室外风速(r=0.3203,P=0.0036)呈现低度相关,与天气状况和星期几呈现弱相关或不相关。

Based on the typical buildings cooling load and meteorological data in Xi＇an, the paper analyzes the effects of solar radiation, temperature, humidity, wind speed, sky types, week and cooling load yesterday using correlation analysis method, and calculates the notability of each factor. Correlation analysis showed that there were high correlations between cooling load yesterday （r=0.847,P〈0.0001） and cooling load. There were moderate correlations between temperature （r=0.6003, P〈0.0001） and cooling load. There were low correlations between solar radiation （r=0.4136,P=0.0001）, humidity （r=0.3257,P=0.003）, wind speed （r=0.3203,P=0.0036） and cooling load. There were no significant correlation correlations between sky types, week and cooling load.