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A hybrid modelling approach to develop scenarios for China's carbon dioxide emissions to 2050

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  • Gambhir, Ajay
  • Schulz, Niels
  • Napp, Tamaryn
  • Tong, Danlu
  • Munuera, Luis
  • Faist, Mark
  • Riahi, Keywan

Abstract

This paper describes a hybrid modelling approach to assess the future development of China's energy system, for both a “hypothetical counterfactual baseline” (HCB) scenario and low carbon (“abatement”) scenarios. The approach combines a technology-rich integrated assessment model (MESSAGE) of China's energy system with a set of sector-specific, bottom-up, energy demand models for the transport, buildings and industrial sectors developed by the Grantham Institute for Climate Change at Imperial College London. By exploring technology-specific solutions in all major sectors of the Chinese economy, we find that a combination of measures, underpinned by low-carbon power options based on a mix of renewables, nuclear and carbon capture and storage, would fundamentally transform the Chinese energy system, when combined with increasing electrification of demand-side sectors. Energy efficiency options in these demand sectors are also important.

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  • Gambhir, Ajay & Schulz, Niels & Napp, Tamaryn & Tong, Danlu & Munuera, Luis & Faist, Mark & Riahi, Keywan, 2013. "A hybrid modelling approach to develop scenarios for China's carbon dioxide emissions to 2050," Energy Policy, Elsevier, vol. 59(C), pages 614-632.
    • Handle: RePEc:eee:enepol:v:59:y:2013:i:c:p:614-632
    DOI: 10.1016/j.enpol.2013.04.022
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    1. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-131, March.
    2. Zhang, ZhongXiang, 2010. "China in the transition to a low-carbon economy," Energy Policy, Elsevier, vol. 38(11), pages 6638-6653, November.
    3. Lulu Gu & W.R. Reed, 2013. "Chinese overseas M&A performance and the Go Global policy," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 21(1), pages 157-192, January.
    4. Cai, Wenjia & Wang, Can & Wang, Ke & Zhang, Ying & Chen, Jining, 2007. "Scenario analysis on CO2 emissions reduction potential in China's electricity sector," Energy Policy, Elsevier, vol. 35(12), pages 6445-6456, December.
    5. Foell, Wesley & Pachauri, Shonali & Spreng, Daniel & Zerriffi, Hisham, 2011. "Household cooking fuels and technologies in developing economies," Energy Policy, Elsevier, vol. 39(12), pages 7487-7496.
    6. Riahi, Keywan & Rubin, Edward S. & Schrattenholzer, Leo, 2004. "Prospects for carbon capture and sequestration technologies assuming their technological learning," Energy, Elsevier, vol. 29(9), pages 1309-1318.
    7. van Vuuren, Detlef P. & Hoogwijk, Monique & Barker, Terry & Riahi, Keywan & Boeters, Stefan & Chateau, Jean & Scrieciu, Serban & van Vliet, Jasper & Masui, Toshihiko & Blok, Kornelis & Blomen, Eliane , 2009. "Comparison of top-down and bottom-up estimates of sectoral and regional greenhouse gas emission reduction potentials," Energy Policy, Elsevier, vol. 37(12), pages 5125-5139, December.
    8. van Vuuren, Detlef P. & van Vliet, Jasper & Stehfest, Elke, 2009. "Future bio-energy potential under various natural constraints," Energy Policy, Elsevier, vol. 37(11), pages 4220-4230, November.
    9. Ou, Xunmin & Zhang, Xiliang & Chang, Shiyan, 2010. "Scenario analysis on alternative fuel/vehicle for China's future road transport: Life-cycle energy demand and GHG emissions," Energy Policy, Elsevier, vol. 38(8), pages 3943-3956, August.
    10. Jamie Sanderson & Sardar M. N. Islam, 2007. "Climate Change and Economic Development," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-59012-0.
    11. Dianshu, Feng & Sovacool, Benjamin K. & Minh Vu, Khuong, 2010. "The barriers to energy efficiency in China: Assessing household electricity savings and consumer behavior in Liaoning Province," Energy Policy, Elsevier, vol. 38(2), pages 1202-1209, February.
    12. Ke, Jing & Zheng, Nina & Fridley, David & Price, Lynn & Zhou, Nan, 2012. "Potential energy savings and CO2 emissions reduction of China's cement industry," Energy Policy, Elsevier, vol. 45(C), pages 739-751.
    13. Shilpa Rao and Keywan Riahi, 2006. "The Role of Non-CO2 Greenhouse Gases in Climate Change Mitigation: Long-term Scenarios for the 21st Century," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 177-200.
    14. Wang, Ke & Wang, Can & Lu, Xuedu & Chen, Jining, 2007. "Scenario analysis on CO2 emissions reduction potential in China's iron and steel industry," Energy Policy, Elsevier, vol. 35(4), pages 2320-2335, April.
    15. Li, Jun, 2008. "Towards a low-carbon future in China's building sector--A review of energy and climate models forecast," Energy Policy, Elsevier, vol. 36(5), pages 1736-1747, May.
    16. Messner, Sabine & Schrattenholzer, Leo, 2000. "MESSAGE–MACRO: linking an energy supply model with a macroeconomic module and solving it iteratively," Energy, Elsevier, vol. 25(3), pages 267-282.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Zheng Guo & Pei Liu & Linwei Ma & Zheng Li, 2015. "Effects of Low-Carbon Technologies and End-Use Electrification on Energy-Related Greenhouse Gases Mitigation in China by 2050," Energies, MDPI, vol. 8(7), pages 1-24, July.
    2. Liu, Junling & Yin, Mingjian & Xia-Hou, Qinrui & Wang, Ke & Zou, Ji, 2021. "Comparison of sectoral low-carbon transition pathways in China under the nationally determined contribution and 2 °C targets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    3. Ang, B.W. & Goh, Tian, 2019. "Index decomposition analysis for comparing emission scenarios: Applications and challenges," Energy Economics, Elsevier, vol. 83(C), pages 74-87.
    4. Ajay Gambhir & Laurent Drouet & David McCollum & Tamaryn Napp & Dan Bernie & Adam Hawkes & Oliver Fricko & Petr Havlik & Keywan Riahi & Valentina Bosetti & Jason Lowe, 2017. "Assessing the Feasibility of Global Long-Term Mitigation Scenarios," Energies, MDPI, vol. 10(1), pages 1-31, January.
    5. Wenhui Tian & Pascal da Costa & Jean-Claude Bocquet, 2015. "Inequalities of Sectors CO 2 emissions in China, USA and France, 2010-2050," Working Papers hal-01219769, HAL.
    6. Child, Michael & Breyer, Christian, 2017. "Transition and transformation: A review of the concept of change in the progress towards future sustainable energy systems," Energy Policy, Elsevier, vol. 107(C), pages 11-26.
    7. Lucas, Paul L. & Nielsen, Jens & Calvin, Katherine & L. McCollum, David & Marangoni, Giacomo & Strefler, Jessica & van der Zwaan, Bob C.C. & van Vuuren, Detlef P., 2015. "Future energy system challenges for Africa: Insights from Integrated Assessment Models," Energy Policy, Elsevier, vol. 86(C), pages 705-717.
    8. Li, Jun & Hamdi-Cherif, Meriem & Cassen, Christophe, 2017. "Aligning domestic policies with international coordination in a post-Paris global climate regime: A case for China," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 258-274.
    9. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.
    10. Huo, Tengfei & Ma, Yuling & Xu, Linbo & Feng, Wei & Cai, Weiguang, 2022. "Carbon emissions in China's urban residential building sector through 2060: A dynamic scenario simulation," Energy, Elsevier, vol. 254(PA).
    11. Zeng, Qingshun & Shi, Changfeng & Zhu, Wenjun & Zhi, Jiaqi & Na, Xiaohong, 2023. "Sequential data-driven carbon peaking path simulation research of the Yangtze River Delta urban agglomeration based on semantic mining and heuristic algorithm optimization," Energy, Elsevier, vol. 285(C).
    12. Khanna, Nina & Fridley, David & Zhou, Nan & Karali, Nihan & Zhang, Jingjing & Feng, Wei, 2019. "Energy and CO2 implications of decarbonization strategies for China beyond efficiency: Modeling 2050 maximum renewable resources and accelerated electrification impacts," Applied Energy, Elsevier, vol. 242(C), pages 12-26.
    13. Ying Wang & Peipei Shang & Lichun He & Yingchun Zhang & Dandan Liu, 2018. "Can China Achieve the 2020 and 2030 Carbon Intensity Targets through Energy Structure Adjustment?," Energies, MDPI, vol. 11(10), pages 1-32, October.
    14. Jing Lin & Boqiang Lin, 2016. "How Much CO 2 Emissions Can Be Reduced in China’s Heating Industry," Sustainability, MDPI, vol. 8(7), pages 1-16, July.
    15. Xu, Guangyue & Schwarz, Peter & Yang, Hualiu, 2019. "Determining China's CO2 emissions peak with a dynamic nonlinear artificial neural network approach and scenario analysis," Energy Policy, Elsevier, vol. 128(C), pages 752-762.

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    Keywords

    China; CO2 emissions; Low-carbon technology;
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