Analysis and forecast of residential building energy consumption in Chongqing on carbon emissions

被引：1

作者：

李沁 ^{[1
,2
]}

刘猛 ^{[1
,2
]}

钱发 ^{[1
,2
]}

机构：

[1] Faculty of Urban Construction and Environmental Engineering,Chongqing University

[2] Key Laboratory of Three Gorges Reservoir Region's Eco-Environment,Ministry of Education,Chongqing University

来源：

Journal of Central South University | 2009年 / 16卷 / S1期

基金：

中国国家自然科学基金; 国家科技攻关计划;

关键词：

carbon emissions; factor analysis; gray prediction model; residential building; energy consumption;

D O I：

暂无

中图分类号：

TU111.195 [];

学科分类号：

081304 ;

摘要：

Carbon emissions mainly result from energy consumption. Carbon emissions inevitably will increase to some extent with economic expansion and rising energy consumption. We introduce a gray theory of quantitative analysis of the energy consumption of residential buildings in Chongqing,China,on the impact of carbon emission factors. Three impacts are analyzed,namely per capita residential housing area,domestic water consumption and the rate of air conditioner ownership per 100 urban households. The gray prediction model established using the Chongqing carbon emission-residential building energy consumption forecast model is sufficiently accurate to achieve a measure of feasibility and applicability.

引用

页码：214 / 218

页数：5

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