A SIMPLIFICATION OF WEATHER DATA TO EVALUATE DAILY AND MONTHLY ENERGY NEEDS OF RESIDENTIAL BUILDINGS

被引:24
作者
BAHADORI, MN [1 ]
CHAMBERLAIN, MJ [1 ]
机构
[1] ISTEC LTD,HAMILTON,ONTARIO,CANADA
关键词
METEOROLOGY - Weather Modification;
D O I
10.1016/0038-092X(86)90014-9
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Hourly, daily, monthly and annual heating and cooling requirements of a residential building located in Ottawa, Ontario, Canada were estimated, employing ENERPASS as the energy simulation tool, and performing hour-by-hour energy analysis. The following weather data were employed. (i) Ten years (1967-1976) of weather data. The ten-year average of the results is identified as TYA. (ii) A typical meteorological year (TMY) generated using the same ten years of data. (iii) Two different hourly ambient air temperature distributions (T1 and T2) for a typical day in each month. The solar radiation on each surface was estimated using the mean monthly clearness index. The results of this study show that the long-range hourly, daily, monthly and annual heating and cooling requirements of a residential building located in a cold climate can be predicted by employing mean daily maximum and minimum temperatures and the mean monthly clearness index for each month.
引用
收藏
页码:499 / 507
页数:9
相关论文
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