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Urban energy consumption and CO2 emissions in Beijing: Current and Future

Author

Listed:
  • Hao Yu
  • Su-Yan Pan
  • Bao-Jun Tang
  • Zhi-Fu Mi
  • Yan Zhang
  • Yi-Ming Wei

    (Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology)

Abstract

This paper calculates the energy consumption and CO2 emissions of Beijing over 2005-2011 in light of the Beijing's energy balance table and the carbon emission coefficients of IPCC. Furthermore, based on a series of energy conservation planning program issued in Beijing, the LEAP-BJ model is developed to study the energy consumption and CO2 emissions of Beijing's six end-use sectors and the energy conversion sector over 2012-2030 under the BAU scenario and POL scenario. Some results are found in this research: (1) during 2005-2011, the energy consumption kept increasing, while the total CO2 emissions fluctuated obviously in 2008 and 2011. The energy structure and the industrial structure have been optimized to a certain extent. (2) If the policies are completely implemented, the POL scenario is projected to save 21.36% and 35.37% of the total energy consumption and CO2 emissions than the BAU scenario during 2012 and 2030. (3) The POL scenario presents a more optimized energy structure compared with the BAU scenario, with the decrease of coal consumption and the increase of natural gas consumption. (4) The commerce and service sector and the energy conversion sector will become the largest contributor to energy consumption and CO2 emissions, respectively. The transport sector and the industrial sector are the two most potential sectors in energy savings and carbon reduction. In terms of sub-scenarios, the TEC is the most effective one. (5) The macro parameters, such as the GDP growth rate and the industrial structure have great influence on the urban energy consumption and carbon emissions.

Suggested Citation

  • Hao Yu & Su-Yan Pan & Bao-Jun Tang & Zhi-Fu Mi & Yan Zhang & Yi-Ming Wei, 2014. "Urban energy consumption and CO2 emissions in Beijing: Current and Future," CEEP-BIT Working Papers 70, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
  • Handle: RePEc:biw:wpaper:70
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    File URL: http://www.ceep.net.cn/docs/2015-03/20150308132425255032.pdf
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    Citations

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    Cited by:

    1. Dong, Xiao-Ying & Hao, Yu, 2018. "Would income inequality affect electricity consumption? Evidence from China," Energy, Elsevier, vol. 142(C), pages 215-227.
    2. Xunmin Ou & Zhiyi Yuan & Tianduo Peng & Zhenqing Sun & Sheng Zhou, 2017. "The Low-Carbon Transition toward Sustainability of Regional Coal-Dominated Energy Consumption Structure: A Case of Hebei Province in China," Sustainability, MDPI, vol. 9(7), pages 1-26, July.
    3. Bin Wang & Qiuxia Zheng & Ao Sun & Jie Bao & Dianting Wu, 2021. "Spatio-Temporal Patterns of CO 2 Emissions and Influencing Factors in China Using ESDA and PLS-SEM," Mathematics, MDPI, vol. 9(21), pages 1-24, October.
    4. Muhammad Imran & Sajid Ali & Yousef Shahwan & Jijian Zhang & Issa Ahmad Al-Swiety, 2022. "Analyzing the Effects of Renewable and Nonrenewable Energy Usage and Technological Innovation on Environmental Sustainability: Evidence from QUAD Economies," Sustainability, MDPI, vol. 14(23), pages 1-16, November.
    5. Yan Xu & Junjie Kang & Jiahai Yuan, 2018. "The Prospective of Nuclear Power in China," Sustainability, MDPI, vol. 10(6), pages 1-21, June.
    6. Yu, Hao & Wei, Yi-Ming & Tang, Bao-Jun & Mi, Zhifu & Pan, Su-Yan, 2016. "Assessment on the research trend of low-carbon energy technology investment: A bibliometric analysis," Applied Energy, Elsevier, vol. 184(C), pages 960-970.
    7. Hu, Guangxiao & Ma, Xiaoming & Ji, Junping, 2019. "Scenarios and policies for sustainable urban energy development based on LEAP model – A case study of a postindustrial city: Shenzhen China," Applied Energy, Elsevier, vol. 238(C), pages 876-886.
    8. Wang, Shanyong & Wang, Jing & Li, Jun & Wang, Jinpeng & Liang, Liang, 2018. "Policy implications for promoting the adoption of electric vehicles: Do consumer’s knowledge, perceived risk and financial incentive policy matter?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 58-69.
    9. Lv, Zongyan & Wu, Lin & Yang, Zhiwen & Yang, Lei & Fang, Tiange & Mao, Hongjun, 2023. "Comparison on real-world driving emission characteristics of CNG, LNG and Hybrid-CNG buses," Energy, Elsevier, vol. 262(PB).
    10. Shaozhou Qi & Huarong Peng & Xiujie Tan, 2019. "The Moderating Effect of R&D Investment on Income and Carbon Emissions in China: Direct and Spatial Spillover Insights," Sustainability, MDPI, vol. 11(5), pages 1-19, February.
    11. Qunli Wu & Chenyang Peng, 2016. "Scenario Analysis of Carbon Emissions of China’s Electric Power Industry Up to 2030," Energies, MDPI, vol. 9(12), pages 1-18, November.

    More about this item

    Keywords

    Urban; Energy consumption; CO2 emissions; Scenario analysis; LEAP model;
    All these keywords.

    JEL classification:

    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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