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Marginal abatement cost and carbon reduction potential outlook of key energy efficiency technologies in China׳s building sector to 2030

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  • Xiao, He
  • Wei, Qingpeng
  • Wang, Hailin

Abstract

China achieved an energy savings of 67.5Mtce in the building sector at the end of the 11th Five-Year Plan and set a new target of 116Mtce by the end of the 12th Five-Year Plan. In this paper, an improved bottom-up model is developed to assess the carbon abatement potential and marginal abatement cost (MAC) of 34 selected energy-saving technologies/measures for China׳s building sector. The total reduction potential is 499.8 million t-CO2 by 2030. 4.8Gt-CO2 potential will be achieved cumulatively to 2030. By 2030, total primary energy consumption of Chinese building sector will rise continuously to 1343Mtce in the reference scenario and 1114Mtce in the carbon reduction scenario. Total carbon dioxide emission will rise to 2.39Gt-CO2 and 1.9Gt-CO2 in two scenarios separately. The average carbon abatement cost of the aforementioned technologies is 19.5$/t-CO2. The analysis reveals that strengthening successfully energy-saving technologies is important, especially for the residential building sector. The central government׳s direct investments in such technologies should be reduced without imposing significant negative effects.

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  • Xiao, He & Wei, Qingpeng & Wang, Hailin, 2014. "Marginal abatement cost and carbon reduction potential outlook of key energy efficiency technologies in China׳s building sector to 2030," Energy Policy, Elsevier, vol. 69(C), pages 92-105.
  • Handle: RePEc:eee:enepol:v:69:y:2014:i:c:p:92-105
    DOI: 10.1016/j.enpol.2014.02.021
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    as
    1. Brown, Marilyn A., 2001. "Market failures and barriers as a basis for clean energy policies," Energy Policy, Elsevier, vol. 29(14), pages 1197-1207, November.
    2. Jerry A. Hausman, 1979. "Individual Discount Rates and the Purchase and Utilization of Energy-Using Durables," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 33-54, Spring.
    3. Jaffe, Adam B. & Stavins, Robert N., 1994. "The energy paradox and the diffusion of conservation technology," Resource and Energy Economics, Elsevier, vol. 16(2), pages 91-122, May.
    4. Mortimer, N D & Ashley, A & Moody, C A C & Rix, J H R & Moss, S A, 1998. "Carbon dioxide savings in the commercial building sector," Energy Policy, Elsevier, vol. 26(8), pages 615-624, July.
    5. Henry Ruderman & Mark D. Levine & James E. McMahon, 1987. "The Behavior of the Market for Energy Efficiency in Residential Appliances Including Heating and Cooling Equipment," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 101-124.
    6. DeCanio, Stephen J., 1993. "Barriers within firms to energy-efficient investments," Energy Policy, Elsevier, vol. 21(9), pages 906-914, September.
    Full references (including those not matched with items on IDEAS)

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    15. Bowen Xiao & Dongxiao Niu & Xiaodan Guo, 2016. "The Driving Forces of Changes in CO 2 Emissions in China: A Structural Decomposition Analysis," Energies, MDPI, vol. 9(4), pages 1-17, March.
    16. Guo, Fei & Kurdgelashvili, Lado & Bengtsson, Magnus & Akenji, Lewis, 2016. "Analysis of achievable residential energy-saving potential and its implications for effective policy interventions: A study of Xiamen city in southern China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 507-520.
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    18. McNeil, Michael A. & Feng, Wei & de la Rue du Can, Stephane & Khanna, Nina Zheng & Ke, Jing & Zhou, Nan, 2016. "Energy efficiency outlook in China’s urban buildings sector through 2030," Energy Policy, Elsevier, vol. 97(C), pages 532-539.
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    20. Wu, Jianxin & Ma, Chunbo & Tang, Kai, 2019. "The static and dynamic heterogeneity and determinants of marginal abatement cost of CO2 emissions in Chinese cities," Energy, Elsevier, vol. 178(C), pages 685-694.
    21. Song, Xiangnan & Lu, Yujie & Shen, Liyin & Shi, Xunpeng, 2018. "Will China's building sector participate in emission trading system? Insights from modelling an owner's optimal carbon reduction strategies," Energy Policy, Elsevier, vol. 118(C), pages 232-244.
    22. Gao, Shuai & Smits, Mattijs & Mol, Arthur P.J. & Wang, Can, 2016. "New market mechanism and its implication for carbon reduction in China," Energy Policy, Elsevier, vol. 98(C), pages 221-231.
    23. 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.
    24. Izabela Jonek-Kowalska, 2019. "Long-term Analysis of the Effects of Production Management in Coal Mining in Poland," Energies, MDPI, vol. 12(16), pages 1-13, August.

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    CO2 abatement cost; Building sector; China;
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