DocumentCode :
2438293
Title :
Energy consumption and potential of energy-saving of China based on industry classifications
Author :
Liu, Linbao ; Zhang, Hong ; Zhang, Yan
Author_Institution :
Sch. of Geographic & Oceanogr. Sci., Nanjing Univ., Nanjing, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
293
Lastpage :
299
Abstract :
The present study involved two key procedures: (1) Input-output table including energy consumption is built and some parameters, such as coefficient of industrial correlation, energy consumption per unit of output value and elasticity ratio of energy consumption, are calculated. (2)Based on characteristics of industrial correlation and energy consumption four industry classes (I, II, III, IV) are sorted. I includes the first industry, the third industry and construction. II includes mining, chemical industry, manufacture of metal products, electric power, gas and water production and supply. III includes manufactures of foods, of textile, of machinery for cultural activity and office work, of artwork and so on. IV includes manufactures of wearing apparel, of electrical machinery and equipment, of communication equipment, computers and other electronic equipment. Such classification is given to find out characteristics of energy consumption and potential of energy-saving in previous and future by industry classes and energy types. According to the analysis data during 1997-2007, forecast the coefficient of industrial correlation and energy consumptions of industries in 2010 and 2020. The records indicated that energy consumptions per unit of output value in four industry classes have decreased widely, especially II has a remarkable decrease. Industry classes have different characteristics and amount in different kinds of energy consumption. Among all these energies, coal, crude oil, gasoline, diesel oil, natural gas and electricity have the potential of energy-saving. The industry classes II and I have the potential of energy-saving.
Keywords :
electricity supply industry; energy consumption; load forecasting; China; chemical industry; communication equipment; computer; elasticity ratio; electric power; electrical equipment; electrical machinery; electronic equipment; energy consumption; energy-saving potential; food manufacturing; gas production; industry classification; input-output table; load forecasting; machinery; metal product manufacturing; mining; textile manufacturing; water production; wearing apparel manufacturing; Coal; Correlation; Economics; Electricity; Energy consumption; Industries; Natural gas; elasticity ratio of energy consumption; energy consumption of industries; industrial correlation; industry classification; input-output model; potential of energy-saving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
Type :
conf
DOI :
10.1109/RSETE.2011.5964272
Filename :
5964272
Link To Document :
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