Modeling temporal variations in global residential energy consumption   and pollutant emissions

doi:10.1016/j.apenergy.2015.10.185

CORC > 北京大学 > 城市与环境学院

	Modeling temporal variations in global residential energy consumption and pollutant emissions
	Chen, Han ; Huang, Ye ; Shen, Huizhong ; Chen, Yilin ; Ru, Muye ; Chen, Yuanchen ; Lin, Nan ; Su, Shu ; Zhuo, Shaojie ; Zhong, Qirui ; Wang, Xilong ; Liu, Junfeng ; Li, Bengang ; Tao, Shu
刊名	APPLIED ENERGY
	2016
关键词	Residential energy Seasonality Pollutants Emissions Regression modeling Climate warming UNITED-STATES ELECTRICITY CONSUMPTION CLIMATE-CHANGE DEMAND SYSTEM SECTOR CHINA COMBUSTION DIOXIDE IMPACT HOUSES
DOI	10.1016/j.apenergy.2015.10.185
英文摘要	Energy data are often reported on an annual basis. To address the climate and health impacts of greenhouse gases and air pollutants, seasonally resolved emissions inventories are needed. The seasonality of energy consumption is most affected by consumption in the residential sector. In this study, a set of regression models were developed based on temperature-related variables and a series of socioeconomic parameters to quantify global electricity and fuel consumption for the residential sector. The models were evaluated against observations and applied to simulate monthly changes in residential energy consumption and the resultant emissions of air pollutants. Changes in energy consumption are strongly affected by economic prosperity and population growth. Climate change, electricity prices, and urbanization also affect energy use. Climate warming will cause a net increase in electricity consumption and a decrease in fuel consumption by the residential sector. Consequently, emissions of CO2, SO2, and Hg are predicted to decrease, while emissions of incomplete combustion products are expected to increase. These changes vary regionally. (C) 2015 Elsevier Ltd. All rights reserved.; National Natural Science Foundation of China [41390240, 41130754]; SCI(E); SSCI; ARTICLE; taos@pku.edu.cn; 820-829; 184
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/458040]
专题	城市与环境学院
推荐引用方式 GB/T 7714	Chen, Han,Huang, Ye,Shen, Huizhong,et al. Modeling temporal variations in global residential energy consumption and pollutant emissions[J]. APPLIED ENERGY,2016.
APA	Chen, Han.,Huang, Ye.,Shen, Huizhong.,Chen, Yilin.,Ru, Muye.,...&Tao, Shu.(2016).Modeling temporal variations in global residential energy consumption and pollutant emissions.APPLIED ENERGY.
MLA	Chen, Han,et al."Modeling temporal variations in global residential energy consumption and pollutant emissions".APPLIED ENERGY (2016).