气候变化研究进展 ›› 2008, Vol. 04 ›› Issue (001): 32-36.

• 研究短论 • 上一篇    下一篇

吉林省城市住宅采暖气候耗能距平序列的建立方法

陈莉1,2 方修琦2 李帅3   

  1. 1 黑龙江省哈尔滨市气象局;2 北京师范大学地理学与遥感科学学院;3 黑龙江省气象局 
  • 收稿日期:2007-08-20 修回日期:2007-10-25 出版日期:2008-01-30 发布日期:2008-01-30
  • 通讯作者: 陈莉

A New Method to Construct Anomaly Series of Climatic Energy Consumption for Urban Residential Heating in Jilin Province

  • Received:2007-08-20 Revised:2007-10-25 Online:2008-01-30 Published:2008-01-30
  • Contact: Li Chen

摘要: 由于中国社会经济统计资料中均缺乏历年采暖能源消费数据,在分析气候变化对采暖能耗的影响时,始终存在着一个瓶颈。为此,提出了一种城市住宅采暖气候耗能距平序列的建立方法,这种方法把气候变化因素与相关的社会经济因素(如人口、人均居住面积等)结合在一起,较直观地反映了气候变化对城市住宅采暖耗能的影响。以地处高纬的吉林省为例,利用吉林省历年城镇人口、城镇人均居住面积、采暖度日数以及单位面积采暖耗煤量指标,建立了吉林省历年采暖气候耗能距平序列。结果表明:相对于1971-2000年30 a平均气候状况,吉林省2001/2002年的采暖期理论上因气候偏暖可以节约35.98万t标准煤,而2000/2001年采暖期因气候偏冷需要增加15.5万t标准煤。

关键词: 住宅采暖, 气候耗能, 距平序列, 吉林省

Abstract: Lack of climatic energy consumption data in socio-economics in China has become a bottleneck for researches on impacts of climate change on climatic energy consumption, such as residential heating and cooling etc. A method to construct the anomaly series of climatic energy consumption for residential heating in towns and cities is presented. It combines climate factors with socio-economic factors, such as population and per capita residential area, together, and intuitively reflects the impacts of climate on the energy consumption for urban residential heating. Based on four variables: annual town and city population, per capita residential area, heating degree-day (the base temperature is 18℃) and the standard coal consumption for heating defined in energy Conservation Design Standard for New Heating Residential Buildings (JCJ26-95)? the following conclusions are drawn: theoretically, about 360 thousand tons standard coal for heating in the warmer winter of 2001/2002 could be saved in comparison with the standard energy consumption for the average climate over 1971-2000 and in the colder winter of 2000/2001 extra 155 thousand tons standard coal for heating could be added in Jilin Province.

Key words: residential heating, climatic energy consumption, anomaly series, Jilin Province

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