IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v38y2010i9p4797-4807.html
   My bibliography  Save this article

Energy demand and carbon emissions under different development scenarios for Shanghai, China

Author

Listed:
  • Li, Li
  • Chen, Changhong
  • Xie, Shichen
  • Huang, Cheng
  • Cheng, Zhen
  • Wang, Hongli
  • Wang, Yangjun
  • Huang, Haiying
  • Lu, Jun
  • Dhakal, Shobhakar

Abstract

In this paper, Shanghai's CO2 emissions from 1995 to 2006 were estimated following the IPCC guidelines. The energy demand and CO2 emissions were also projected until 2020, and the CO2 mitigation potential of the planned government policies and measures that are not yet implemented but will be enacted or adopted by the end of 2020 in Shanghai were estimated. The results show that Shanghai's total CO2 emissions in 2006 were 184 million tons of CO2. During 1995-2006, the annual growth rate of CO2 emissions in Shanghai was 6.22%. Under a business-as-usual (BAU) scenario, total energy demand in Shanghai will rise to 300 million tons of coal equivalent in 2020, which is 3.91 times that of 2005. Total CO2 emissions in 2010 and 2020 will reach 290 and 630 million tons, respectively, under the BAU scenario. Under a basic-policy (BP) scenario, total energy demand in Shanghai will be 160 million tons of coal equivalent in 2020, which is 2.06 times that of 2005. Total CO2 emissions in 2010 and 2020 in Shanghai will be 210 and 330 million tons, respectively, 28% and 48% lower than those of the business-as-usual scenario. The results show that the currently planned energy conservation policies for the future, represented by the basic-policy scenario, have a large CO2 mitigation potential for Shanghai.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:enepol:v:38:y:2010:i:9:p:4797-4807
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301-4215(09)00637-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kadian, Rashmi & Dahiya, R.P. & Garg, H.P., 2007. "Energy-related emissions and mitigation opportunities from the household sector in Delhi," Energy Policy, Elsevier, vol. 35(12), pages 6195-6211, December.
    2. Gnansounou, Edgard & Dong, Jun & Bedniaguine, Denis, 2004. "The strategic technology options for mitigating CO2 emissions in power sector: assessment of Shanghai electricity-generating system," Ecological Economics, Elsevier, vol. 50(1-2), pages 117-133, September.
    3. Changhong, Chen & Bingyan, Wang & Qingyan, Fu & Green, Collin & Streets, David G., 2006. "Reductions in emissions of local air pollutants and co-benefits of Chinese energy policy: a Shanghai case study," Energy Policy, Elsevier, vol. 34(6), pages 754-762, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    2. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    3. Suganthi, L. & Samuel, Anand A., 2012. "Energy models for demand forecasting—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1223-1240.
    4. Adom, Philip Kofi & Bekoe, William, 2012. "Conditional dynamic forecast of electrical energy consumption requirements in Ghana by 2020: A comparison of ARDL and PAM," Energy, Elsevier, vol. 44(1), pages 367-380.
    5. Carvalho, Ricardo L. & Lindgren, Robert & García-López, Natxo & Nyambane, Anne & Nyberg, Gert & Diaz-Chavez, Rocio & Boman, Christoffer, 2019. "Household air pollution mitigation with integrated biomass/cookstove strategies in Western Kenya," Energy Policy, Elsevier, vol. 131(C), pages 168-186.
    6. Shao, Shuai & Yang, Lili & Yu, Mingbo & Yu, Mingliang, 2011. "Estimation, characteristics, and determinants of energy-related industrial CO2 emissions in Shanghai (China), 1994-2009," Energy Policy, Elsevier, vol. 39(10), pages 6476-6494, October.
    7. Wang, Can & Ye, Minhua & Cai, Wenjia & Chen, Jining, 2014. "The value of a clear, long-term climate policy agenda: A case study of China’s power sector using a multi-region optimization model," Applied Energy, Elsevier, vol. 125(C), pages 276-288.
    8. Ram, Manish & Gulagi, Ashish & Aghahosseini, Arman & Bogdanov, Dmitrii & Breyer, Christian, 2022. "Energy transition in megacities towards 100% renewable energy: A case for Delhi," Renewable Energy, Elsevier, vol. 195(C), pages 578-589.
    9. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    10. Zhang, Yan & Yang, Zhifeng & Fath, Brian D. & Li, Shengsheng, 2010. "Ecological network analysis of an urban energy metabolic system: Model development, and a case study of four Chinese cities," Ecological Modelling, Elsevier, vol. 221(16), pages 1865-1879.
    11. Huang, Ying & Liao, Cuiping & Zhang, Jingjing & Guo, Hongxu & Zhou, Nan & Zhao, Daiqing, 2019. "Exploring potential pathways towards urban greenhouse gas peaks: A case study of Guangzhou, China," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    12. 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.
    13. Liu, Yiming & Hao, Yu & Gao, Yixuan, 2017. "The environmental consequences of domestic and foreign investment: Evidence from China," Energy Policy, Elsevier, vol. 108(C), pages 271-280.
    14. Subramanyam, Veena & Kumar, Amit & Talaei, Alireza & Mondal, Md. Alam Hossain, 2017. "Energy efficiency improvement opportunities and associated greenhouse gas abatement costs for the residential sector," Energy, Elsevier, vol. 118(C), pages 795-807.
    15. Jiman Park & Byungyun Yang, 2020. "GIS-Enabled Digital Twin System for Sustainable Evaluation of Carbon Emissions: A Case Study of Jeonju City, South Korea," Sustainability, MDPI, vol. 12(21), pages 1-21, November.
    16. Isaac, Morna & van Vuuren, Detlef P., 2009. "Modeling global residential sector energy demand for heating and air conditioning in the context of climate change," Energy Policy, Elsevier, vol. 37(2), pages 507-521, February.
    17. 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, vol. 4(12), pages 1-16, December.
    18. Wu, Haitao & Hao, Yu & Weng, Jia-Hsi, 2019. "How does energy consumption affect China's urbanization? New evidence from dynamic threshold panel models," Energy Policy, Elsevier, vol. 127(C), pages 24-38.
    19. Chen, Bin & Yan, Jun & Zhu, Xun & Liu, Yue, 2023. "The potential role of renewable power penetration in energy intensity reduction: Evidence from the Chinese provincial electricity sector," Energy Economics, Elsevier, vol. 127(PB).
    20. Zhang, Shaohui & Worrell, Ernst & Crijns-Graus, Wina, 2015. "Synergy of air pollutants and greenhouse gas emissions of Chinese industries: A critical assessment of energy models," Energy, Elsevier, vol. 93(P2), pages 2436-2450.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:38:y:2010:i:9:p:4797-4807. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.