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System dynamics modeling for urban energy consumption and CO2 emissions: A case study of Beijing, China

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  • Feng, Y.Y.
  • Chen, S.Q.
  • Zhang, L.X.

Abstract

It is clear that city must be part of the solution if an urbanizing world is to grapple successfully with ecological challenges such as energy depletion and climate change. A system dynamics model was developed in this study using STELLA platform to model the energy consumption and CO2 emission trends for the City of Beijing over 2005–2030. Results show that the total energy demand in Beijing is predicted to reach 114.30 million tonnes coal equivalent (Mtce) by 2030, while that value in 2005 is 55.99Mtce, which is 1.04 times higher than the level in 2005. Accordingly, the total CO2 emissions in 2030 will reach 169.67 million tonnes CO2 equivalent (Mt CO2-eq), 0.43 times higher than that of 2005. The change of energy structure from carbon rich fuel as coal to low-carbon fuel as natural gas will play a very essential role in carbon emission reduction activities of Beijing. The modeling results also shows that the service sector will gradually replace the industrial dominant status in energy consumption as the largest energy consuming sector, followed by industrial and transport sector. The sensitive analysis suggests that change of economic development mode and control of rational population growth will have a far-reaching influence on energy consumption and on carbon emissions. All these results will provide essential information for Beijing's future energy and carbon emission profiles.

Suggested Citation

  • Feng, Y.Y. & Chen, S.Q. & Zhang, L.X., 2013. "System dynamics modeling for urban energy consumption and CO2 emissions: A case study of Beijing, China," Ecological Modelling, Elsevier, vol. 252(C), pages 44-52.
  • Handle: RePEc:eee:ecomod:v:252:y:2013:i:c:p:44-52
    DOI: 10.1016/j.ecolmodel.2012.09.008
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    as
    1. Lei, Kampeng & Wang, Zhishi, 2008. "Emergy synthesis and simulation for Macao," Energy, Elsevier, vol. 33(4), pages 613-625.
    2. Keigo Akimoto & Fuminori Sano & Junichiro Oda & Takashi Homma & Ullash Kumar Rout & Toshimasa Tomoda, 2008. "Global emission reductions through a sectoral intensity target scheme," Climate Policy, Taylor & Francis Journals, vol. 8(sup1), pages 46-59, December.
    3. Bunn, Derek W. & Larsen, Erik R., 1992. "Sensitivity of reserve margin to factors influencing investment behaviour in the electricity market of England and Wales," Energy Policy, Elsevier, vol. 20(5), pages 420-429, May.
    4. Hadley, S. W. & Short, W., 2001. "Electricity sector analysis in the clean energy futures study," Energy Policy, Elsevier, vol. 29(14), pages 1285-1298, November.
    5. Lu, Chuanyi & Zhang, Xiliang & He, Jiankun, 2010. "A CGE analysis to study the impacts of energy investment on economic growth and carbon dioxide emission: A case of Shaanxi Province in western China," Energy, Elsevier, vol. 35(11), pages 4319-4327.
    6. Kanudia, Amit & Loulou, Richard, 1998. "Robust responses to climate change via stochastic MARKAL: The case of Quebec," European Journal of Operational Research, Elsevier, vol. 106(1), pages 15-30, April.
    7. Lin, Jianyi & Cao, Bin & Cui, Shenghui & Wang, Wei & Bai, Xuemei, 2010. "Evaluating the effectiveness of urban energy conservation and GHG mitigation measures: The case of Xiamen city, China," Energy Policy, Elsevier, vol. 38(9), pages 5123-5132, September.
    8. Gielen, Dolf & Changhong, Chen, 2001. "The CO2 emission reduction benefits of Chinese energy policies and environmental policies:: A case study for Shanghai, period 1995-2020," Ecological Economics, Elsevier, vol. 39(2), pages 257-270, November.
    9. Xu, Yan & Masui, Toshihiko, 2009. "Local air pollutant emission reduction and ancillary carbon benefits of SO2 control policies: Application of AIM/CGE model to China," European Journal of Operational Research, Elsevier, vol. 198(1), pages 315-325, October.
    10. Lixiao Zhang & Yueyi Feng & Bin Chen, 2011. "Alternative Scenarios for the Development of a Low-Carbon City: A Case Study of Beijing, China," Energies, MDPI, Open Access Journal, vol. 4(12), pages 1-16, December.
    11. Vera, Ivan & Langlois, Lucille, 2007. "Energy indicators for sustainable development," Energy, Elsevier, vol. 32(6), pages 875-882.
    12. Böhringer, Christoph & Rutherford, Thomos F., 2009. "Integrated assessment of energy policies: Decomposing top-down and bottom-up," Journal of Economic Dynamics and Control, Elsevier, vol. 33(9), pages 1648-1661, September.
    13. Chi, K.C. & Reiner, D.M. & Nuttall, W.J., 2009. "Dynamics of the UK Natural Gas Industry: System Dynamics Modelling and Long-Term Energy Policy Analysis," Cambridge Working Papers in Economics 0922, Faculty of Economics, University of Cambridge.
    14. Cormio, C. & Dicorato, M. & Minoia, A. & Trovato, M., 2003. "A regional energy planning methodology including renewable energy sources and environmental constraints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 7(2), pages 99-130, April.
    15. Li, Li & Chen, Changhong & Xie, Shichen & Huang, Cheng & Cheng, Zhen & Wang, Hongli & Wang, Yangjun & Huang, Haiying & Lu, Jun & Dhakal, Shobhakar, 2010. "Energy demand and carbon emissions under different development scenarios for Shanghai, China," Energy Policy, Elsevier, vol. 38(9), pages 4797-4807, September.
    16. Bi, Jun & Zhang, Rongrong & Wang, Haikun & Liu, Miaomiao & Wu, Yi, 2011. "The benchmarks of carbon emissions and policy implications for China's cities: Case of Nanjing," Energy Policy, Elsevier, vol. 39(9), pages 4785-4794, September.
    17. Phdungsilp, Aumnad, 2010. "Integrated energy and carbon modeling with a decision support system: Policy scenarios for low-carbon city development in Bangkok," Energy Policy, Elsevier, vol. 38(9), pages 4808-4817, September.
    18. Turton, Hal, 2008. "ECLIPSE: An integrated energy-economy model for climate policy and scenario analysis," Energy, Elsevier, vol. 33(12), pages 1754-1769.
    19. Dhakal, Shobhakar, 2009. "Urban energy use and carbon emissions from cities in China and policy implications," Energy Policy, Elsevier, vol. 37(11), pages 4208-4219, November.
    20. Hassan Qudrat-Ullah, 2005. "MDESRAP: a model for understanding the dynamics of electricity supply, resources and pollution," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 23(1), pages 1-14.
    21. Dong, C. & Huang, G.H. & Cai, Y.P. & Liu, Y., 2012. "An inexact optimization modeling approach for supporting energy systems planning and air pollution mitigation in Beijing city," Energy, Elsevier, vol. 37(1), pages 673-688.
    22. Liu, Y. & Huang, G.H. & Cai, Y.P. & Cheng, G.H. & Niu, Y.T. & An, K., 2009. "Development of an inexact optimization model for coupled coal and power management in North China," Energy Policy, Elsevier, vol. 37(11), pages 4345-4363, November.
    23. Kunsch, P. & Springael, J., 2008. "Simulation with system dynamics and fuzzy reasoning of a tax policy to reduce CO2 emissions in the residential sector," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1285-1299, March.
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    Keywords

    System dynamics model; Energy consumption; CO2 emissions; STELLA;

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