Skip to main content

Controlling Indices for Low-Carbon City Based on Emission Reduction in Structure, Technology and Supervision

  • Conference paper
Advances in Computer Science, Intelligent System and Environment

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 106))

  • 1049 Accesses

Abstract

On the basis of traditional assessment indices and combining practical indices summarized from the practical experience of LCC development home and abroad, a controlling index system was build comprising three aspects such as structure emission reduction, technology emission reduction and supervision emission reduction. The indices selected in this paper are of high practical application and operation, and could provide a basis for controlling approach of reducing GHG and saving energies.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Fan, Y.Y., Ji, Y., Li, D.F., Li, Y.: Study on Evaluation Index System of Low-carbon City. In: 2011 International Conference on Materials for Renewable Energy & Environment, vol. 1, pp. 26–30 (2011)

    Google Scholar 

  2. Bhatt, V., Waterman, M.S., Lee, J.: Integrated energy and environmental systems analysis methodology for achieving low carbon cities. Journal of Renewable and Sustainable Energy 6, 2306–2325 (2010)

    Google Scholar 

  3. Phdungsilp, A.: Integrated energy and carbon modeling with a decision support system: Policy scenarios for low-carbon city development in Bangkok. Energy Policy 38, 4808–4817 (2010)

    Article  Google Scholar 

  4. Wang, T.F.: Study on Assessment Index System of Low Carbon City. Hebei University, China (2010)

    Google Scholar 

  5. Yuan, X.L., Zhong, Y.Y.: Quantitative Analysis of Coupling between Urbanization and Ecological Environment in Gansu Province. Study on Urban Development 5, 42–47 (2010)

    Google Scholar 

  6. Liang, B.F., Zhu, S.X.: Study on Banking of Top Ten Low-carbon City in China. Economy 10, 22–28 (2010)

    Google Scholar 

  7. Shi, L.S.: Lifestyle in Copenhagen. Outside Reading 8, 31–35 (2010)

    Google Scholar 

  8. Chen, L.Q.: Practice for Low-carbon Development Overseas. Environment Economy 81, 31–38 (2010)

    Google Scholar 

  9. Gu, Y.X., Li, H.X.: Consideration on “Low Carbon City”. Energy Conservation in Building 8, 24–25 (2008)

    Google Scholar 

  10. Wang, Y.F.: Explore the Evaluation System of Low-carbon Cities. Hebei University, China (2010)

    Google Scholar 

  11. Xu, H.: Building up Scientific Sustainable Development Index System in Cities. Study on Urban Development 3, 47–53 (2004)

    Google Scholar 

  12. Yu, L.Y., Feng, Z.J.: Design of the Evaluation Indicator System of Circular Economy. Chinese Software 12, 44–54 (2005)

    MathSciNet  Google Scholar 

  13. Wu, Q., Wang, R.S., Li, H.Q.: The indices and the evaluation method of eco-city. Journal of Ecology 8, 2090–2096 (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Fan, Y., Ji, Y., Wang, H., Li, D., Li, Y. (2011). Controlling Indices for Low-Carbon City Based on Emission Reduction in Structure, Technology and Supervision. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23753-9_98

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23753-9_98

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23752-2

  • Online ISBN: 978-3-642-23753-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics