Item Details
Skip Navigation Links
   ActiveUsers:1099Hits:19632763Skip Navigation Links
Show My Basket
Contact Us
IDSA Web Site
Ask Us
Today's News
HelpExpand Help
Advanced search

In Basket
  Journal Article   Journal Article
 

ID105766
Title ProperEnvironmental performance evaluation of Beijing's energy use planning
LanguageENG
AuthorWnag, Lei ;  Xu, Linyu ;  Song, Huimin
Publication2011.
Summary / Abstract (Note)In line with rapid economic development, urban energy consumption is increasing rapidly, resulting in environmental problems. After considering several methods to evaluate the environmental performance of energy use, including: energy ecological footprint, input-output analysis, emergy-exergy analysis, and multi-criteria decision-making, an environmental performance evaluation model is proposed, which combines the analytical hierarchy process, fuzzy extent analysis, and membership degree analysis. In the model, 18 sub-indicators of environmental performance from energy use planning are classified into four categories: structure of energy use and industry, technology and efficiency of energy use, environmental impacts caused by energy use, and the socio-economic benefits of energy use. Membership degree analysis is applied to each indicator. Three energy use scenarios which are, respectively, environment-friendly, technology-led, and economic policy-led are evaluated. The results show that the technology-led energy use planning is best. The sustainable energy use policies are proposed from three aspects, including optimizing the energy use and industrial structure, encouraging development of energy-saving and air pollution control technologies, and enhancing legislation on energy use management. The policies are helpful to optimize the trade-offs between economic growth and environmental protection in Beijing.
`In' analytical NoteEnergy Policy Vol. 39, No. 6; Jun 2011: p3483-3495
Journal SourceEnergy Policy Vol. 39, No. 6; Jun 2011: p3483-3495
Key WordsEnergy Use Planning ;  Environmental Performance ;  Multi-criteria Decision-making ;  Beijing China ;  Energy