Investigation Of Energy Consumption And Statistical Analysis Survey Of Its Influencing Factors Of Residential Building In Changsha City

With increasing of economy and improving of standard of living, people's demand to comfortable and healthy building environment is more and more urgent, and then it leads to sharp increase of building energy consumption. Professional men focus on the job of building energy consumption statistics and energy efficiency. Residential building is an important component of building, which belongs to civil architecture with public building. Compare to public building, although the function is unitary, residential building profoundly influenced by the action of residenter and takes on randomicity, so it's hard to calculate detailed and field investigates is a relatively direct, simple and reliable method. So this paper study energy consumption of residential building in Changsha by investigation and filed measure. To find out the situation and influence factors of energy consumption of residential building in Changsha, this paper had selected 70 representative urban households in Changsha city and carried out a questionnaire survey on indoor thermal environment and energy consumption from November 2005 to October 2006. At the meantime, the monthly energy consumption quantity (including electricity and gas) of households had been tracked for one year. Two representative households were selected and the total energy consumption and various terminal energy consumptions were measured in the field from December 2006 to September 2007. Using partial correlations and multi linear regression analysis in SPSS (Statistical Package for the Social Sciences) software, this paper analyzed the influencing factors of energy consumption of residential building.By the questionnaire survey, it finds out the situation of indoor thermal comfort environment and domestic energy consumption. The results show monthly mean energy consumption quantity in Changsha revealed seasonal observed variations and there were difference among different households for different outer envelope, life style, annual income and the concept of energy consumption.The total energy consumption was divided into four terminal consumption including lighting, heating and air conditioning, cooking and heating water, and other electrical appliances, the result of field measure of the two representative households reveal that the heating and air conditioning, cooking and heating water were principal in winter and summe. Especially, heating and air conditioning show seasonal observed variations, it consistent with the result of the questionnaire survey.Using partial correlations and multi linear regression analysis in SPSS software, this paper analyzed the influencing factors of energy consumption of residential building base on the result of questionnaire and monthly energy consumption quantity. Partial correlations analysis reveals that the closest correlation between energy consumption and annual income, the style of heating, and it also reveals the nonsignificant correlation between energy consumption and domestic population, floor area, the style of air conditioning, building orientation, building total storey and households'storey. Through multi linear regression, the regression equation models of influence factors on residential building total energy consumption and unit area energy consumption were founded.Finally, basing on the result of field measure and statistical analysis, this paper probes the methods and approaches that can improve the indoor thermal environment and meet the requirement of building energy efficiency from the aspects of reducing energy loss of the building, changing the style of cooling and heating and changing occupants'life style.