An Optimal Model for Low-Carbon Urban Agglomeration Based on Energy Structure Reduction under Uncertainty

Abstract:

This paper developed an optimal model of low-carbon urban agglomeration on the base of energy structure under uncertainty. The case study shows that the carbon intensity was decreased by [32.19, 41.20] (%) and energy intensity was reduced by [34.08, 43.19] (%) compared with those in 2010; meanwhile, the carbon intensity and energy intensity in the core area was reduced by [50.88, 54.11] (%) and [51.24, 54.57] (%) respectively, compared with those in 2010. The optimized scheme could not only meet the requirements of 12^th Five-Year Planning Outline of Controlling Greenhouse Gas Emission, but also complied with the requirements of regional planning targets. The established model also provided more decision-making space for the sustainable development of low-carbon urban agglomeration.

• Periodical: Advanced Materials Research (Volume 599)
• Pages: 211-215
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.599.211
• Online since: November 2012
• Authors: Lun Wang, Zhao Sun, Jing Ya Wen, Zhuang Li, Wen Jin Zhao, Yu Li
• Keywords: Energy Structure, Optimal Model, Uncertainty, Urban Agglomeration

References

[1] Y.C. Qi, Y.S. Dong: Scientia Geographica Sinica. Vol. 24 (2004), p.528

[2] X.L. Yuan, Y.Y. Zhong: CSUS, Vol. 17 (2010), p.42

[3] L.F. Zhang: Journal of Arid Land Resources and Environment. Vol. 5 (2011), p.1

[4] G.Y. Du, Y.L. Cai, S.C. Li: Geography and Geographic Information Science, Vol. 26 (2010), p.76

[5] G.H. Huang, B.W. Baetz, G.G Patry. Eur J Oper Res, Vol. 83 (1995), p.594

[6] G.H. Huang, B.W. Baetz, G.G Patry. Civ Eng Environ Syst, Vol. 9 (1992), p.319