• DocumentCode
    539809
  • Title

    Prediction on Shanghai´s Energy Consumption Trend and Carbon Emission Peak

  • Author

    Huang, Rui ; Wang, Zheng

  • Author_Institution
    Key Lab. of Geogr. Inf. Sci., East China Normal Univ., Shanghai, China
  • Volume
    2
  • fYear
    2011
  • fDate
    6-7 Jan. 2011
  • Firstpage
    898
  • Lastpage
    901
  • Abstract
    This article did some simulation in allusion to Shanghai´s carbon emissions before 2050 and discussed research methods of urban carbon emissions trends. In allusion to urban problems, this paper used the Logistic curve to approach urban population growth rate and employed Nonlinear Economic Dynamics to predict Shanghai´s economic growth rate before 2050. Adopting the optimal growth model proposed by Yongbin Zhu and Zheng Wang (2009), this paper carried out some researches on Shanghai´s energy consumption and carbon emissions. The results show that Shanghai´s energy consumption and carbon emission increase in the curve of inversed “U”. The peak of energy consumption and carbon emissions will be in 2040. The value of reaching peak in Shanghai is a litter bigger than other provinces relatively, reflecting that reducing carbon dioxide in Shanghai still has a long way to go.
  • Keywords
    air pollution; energy consumption; environmental economics; load forecasting; parameter estimation; power system economics; carbon emissions trend; energy consumption prediciton; logistic curve; nonlinear economic dynamics; parameter estimation; urban population growth rate; Biological system modeling; Carbon dioxide; Cities and towns; Economics; Energy consumption; Petroleum; Predictive models; carbon emissions; energy consumption; energy structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
  • Conference_Location
    Shangshai
  • Print_ISBN
    978-1-4244-9010-3
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2011.507
  • Filename
    5721333