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上海市不同年代住宅小区能源消费调查与分析
引用本文:孙娟,李振海,伍星,吉野博.上海市不同年代住宅小区能源消费调查与分析[J].制冷空调与电力机械,2009,30(1):86-89.
作者姓名:孙娟  李振海  伍星  吉野博
作者单位:1. 同济大学暖通空调及燃气研究所,上海,200092
2. 日本东北大学大学院都市建筑学专攻,日本,仙台,9808579
摘    要:为明确上海不同年代住宅能源消费现状及特点,分别对20世纪80年代及2000年后两住宅小区的居住建筑概况、生活方式、对热环境的评价及能耗情况进行了调查。结果显示2000年后小区的能源消费水平明显高于上世纪80年代小区,从人均能耗及单位建筑面积能耗来说,前者分别为后者的1.609倍和0.815倍;采用SPSS软件对两个小区住宅能耗的影响因素进行偏相关分析。结果表明建筑面积和家庭人口数与总能耗密切相关,收入水平对总能耗也有很大影响。各因素对单位建筑面积能耗和总能耗的影响程度各不相同。

关 键 词:调查  能源消费  偏相关分析

Survey and Analysis of Energy Consumption of Two Residence Community Founded in Different Ages in Shanghai
SUN Juan,LI Zhen-hai,WU Xing,Hiroshi Yoshino.Survey and Analysis of Energy Consumption of Two Residence Community Founded in Different Ages in Shanghai[J].Refrigeration Air Conditioning & Electric Power Machinery,2009,30(1):86-89.
Authors:SUN Juan  LI Zhen-hai  WU Xing  Hiroshi Yoshino
Affiliation:SUN Juan, LI Zhen-hai, WU Xing, Hiroshi Yoshino (1.HV&A C Research Institute of Tongji University,Shanghai 200092, China; 2.Department of Architecture and Building Science ,Japan Tohoku University,Sendal 980-8579,Japan )
Abstract:In order to make clear of the situation and characteristics of the energy consumption of residence community in different ages in Shanghai,a survey on the general situation of residential buildings, the life styles,the estimation of indoor thermal environment and the energy consumption of two residence community was carried out. The result showed the level of energy consumption of the residence community founded in 2000s was obviously higher than the 1980s. The average energy consumption per capita and per unit area of 2000s were 1.609 and 0.815 times as the 1980s.The factors influencing the residential energy consumption of the two residence community were analyzed using statistical package for the social sciences (SPSS).The result indicated the floor area and household resident population were closely related to the total energy consumption. Annual household income also had a great influence on the total energy consumption. The factors had different influence on the energy consumption of per building area and the total.
Keywords:survey  energy consumption  partial correlation analysis
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