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Frontiers of Earth Science

ISSN 2095-0195

ISSN 2095-0209(Online)

CN 11-5982/P

Postal Subscription Code 80-963

2018 Impact Factor: 1.205

Front Earth Sci Chin    2009, Vol. 3 Issue (3) : 337-348    https://doi.org/10.1007/s11707-009-0045-1
RESEARCH ARTICLE
Stress of urban energy consumption on air environment
Gang YAN1,2, Li LI3, Bin CHEN1()
1. State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; 2. Chinese Academy for Environmental Planning, Beijing 100012, China; 3. School of the Environment, Nanjing University, Nanjing 210093, China
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Abstract

With rapid urbanization and heavy industrialization as well as the rapid increase of cars in China, the effect of energy consumption on urban air environment is increasingly becoming serious, and has become a hot topic for both scholars and decision-makers. This paper explores the effect mechanism and regulation of urban energy consumption on the air environment, and summarizes the framework of the stress effect relationship and the evolutionary process. In accordance with the effect relationship of the internal factors between the two, analytic approaches studying the stress effect of urban energy consumption on air environment are proposed, including the analysis of air environment effects caused by urban energy consumption structure change, and the analysis of air environment effects caused by urban energy economic efficiency change, as well as a decomposition analysis of air pollutant emission caused by urban energy consumption. Applying the above-mentioned approaches into a case study on Beijing City, this paper analyzes the effect relationship among urban energy consumption structure improvement, energy economic efficiency increase and air quality change since the period when Beijing City officially proposed to bid for the 2008 Olympic Games in 1998. In addition, it further analyzes the effect and contribution of urban industrial activity level, industrial economic structure, industrial energy intensity, and industrial energy structure as well as emission coefficients on the change in industrial SO2 emission, which can provide valuable information to the government for making comprehensive environmental policies, with the use of the logarithmic mean Divisia index (LMDI) method. It is shown that under the precondition that the industrial economy maintain a continuous and rapid increase, improvements in energy intensity and a decline in emission coefficients are the main means for reducing Beijing’s industrial SO2 emissions.

Keywords urban energy consumption      air environment      stress effect      decomposition analysis     
Corresponding Author(s): CHEN Bin,Email:chenb@bnu.edu.cn   
Issue Date: 05 September 2009
 Cite this article:   
Gang YAN,Li LI,Bin CHEN. Stress of urban energy consumption on air environment[J]. Front Earth Sci Chin, 2009, 3(3): 337-348.
 URL:  
https://academic.hep.com.cn/fesci/EN/10.1007/s11707-009-0045-1
https://academic.hep.com.cn/fesci/EN/Y2009/V3/I3/337
Fig.1  Process of urban energy consumption
Fig.2  Illustration of the stress effect of urban energy consumption on air environment
Fig.3  Evolutionary process of the stress of urban energy consumption on air environment
Fig.4  Characteristic index change trend in Beijing’s energy consumption
Fig.5  Change of the air environmental quality in Beijing
Fig.6  Relationship between change of energy economic efficiency and air quality in Beijing
Fig.7  Relationship between energy consumption structure improvement and air quality change in Beijing
yearSO2 emission changeindustrial activity effectindustrial structure effectenergy intensity effectenergy structure effectemissions coefficient effect
2003-200449882195026111-293282478-16223
2004-2005-9382225697309-25624-728-12907
2005-2006-3044313830-127311257-1403-31395
2006-2007-7723263-1325-17233-1187-3596
2003-2007-349148161119364-70928-841-64120
average-8728204034841-17732-210-16030
Tab.1  Effects of various factors on Beijing’s industrial SO emission change (t)
Fig.8  Annual average effect of Beijing’s industrial activity and industrial economic structure on industrial SO emission change from 2003 to 2007
Fig.9  Annual average effect of Beijing’s industrial energy intensity and energy structure on industrial SO emission change from 2003 to 2007
Fig.10  Annual average effect of Beijing’s emission coefficient on industrial SO emission change from 2003 to 2007
1 Ang B W (1994). Decomposition of industrial energy consumption: the energy intensity approach. Energy Economics , 16: 163–174
doi: 10.1016/0140-9883(94)90030-2
2 Ang B W (2004). Decomposition analysis for policymaking in energy: which is the preferred method? Energy Policy , 32: 1131–1139
doi: 10.1016/S0301-4215(03)00076-4
3 Ang B W, Choi K H (1997). Decomposition of aggregate energy and gas emission intensities for industry: a fined Divisia index method. Energy Journal , 18: 59–73
4 Ang B W, Liu F L (2001). A new energy decomposition method: perfect in decomposition and consistent in aggregation. Energy , 26: 537–548
doi: 10.1016/S0360-5442(01)00022-6
5 Ang J B (2007). CO2 emissions, energy consumption, and output in France. Energy Policy , 35: 4772–4778
doi: 10.1016/j.enpol.2007.03.032
6 Bose R K (1996). Energy demand and environmental implications in urban transport-case of Delhi. Atmospheric Environment , 30: 403–412
doi: 10.1016/1352-2310(95)00111-5
7 Bose R K, Anandalingam G (1996). Sustainable urban energy-environment management with multiple objectives. Energy , 21: 305–318
doi: 10.1016/0360-5442(95)00098-4
8 Chai F H, Chen Y Z, Wen Y, Duan N, Xie S D, Xue Z G, Cao D, Liu J, Song G J, Wang S L (2006). Study for regional air pollutants total amount control technologies and demonstration. Environment Science Research , 19: 163–171 (in Chinese)
9 Chan C K, Yao X H (2008). Air pollution in mega cities in China. Atmospheric Environment , 42: 1–42
doi: 10.1016/j.atmosenv.2007.09.003
10 Dincer I (1999). Environmental impacts of energy. Energy Policy , 27: 845–854
doi: 10.1016/S0301-4215(99)00068-3
11 Ediger V S, Huvaz O (2006). Examining the sectoral energy use in Turkish economy (1980-2000) with the help of decomposition analysis. Energy Conversion and Management , 47: 732–745
doi: 10.1016/j.enconman.2005.05.022
12 Kato S, Widiyanto A (2005). Environmental impact consolidated evaluation of energy systems by an LCA-NETS scheme. Energy , 30: 2057–2072
doi: 10.1016/j.energy.2004.08.014
13 Maréchal F, Kalitventzeff B (1997). Effect modeling and optimization, a new methodology for combined energy and environment synthesis of industrial processes. Applied Thermal Engineering , 17: 981–992
doi: 10.1016/S1359-4311(96)00079-8
14 Ministry of Environmental Protection of the People’s Public of China (2007). China environmental quality report 2006, China. (in Chinese)
15 Omer A M (2008). Energy, environment and sustainable development. Renewable & Sustainable Energy Reviews , 12: 2265–2300
doi: 10.1016/j.rser.2007.05.001
16 Rosen M A, Dincer I (2001). Exergy as the confluence of energy, environment and sustainable development. Exergy, An International Journal , 1: 3–13
17 Yi H H, Hao J M, Tang X L (2007). Atmospheric environmental protection in China: Current status, developmental trend and research emphasis. Energy Policy , 35: 907–915
doi: 10.1016/j.enpol.2006.01.019
18 Yu G R (2006). Rationally collocating city energy sources and building ecotypic city. Journal of Jinan University , 16: 20–22 (in Chinese)
19 Zhang L H, Du T, Wang D Z, Ai J Y (2004). Present situation of energy consumption, environment load in city and the countermeasure analysis. Energy Conservation , 6: 22–26 (in Chinese)
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