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Pathway for decarbonizing residential building operations in the US and China beyond the mid-century

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  • Zhang, Shufan
  • Zhou, Nan
  • Feng, Wei
  • Ma, Minda
  • Xiang, Xiwang
  • You, Kairui

Abstract

With global carbon budget targets looming, residential buildings in top economies must become carbon neutral as soon as possible to reserve more emission space for emerging carbon-emitting economies. This study is the first to compare the operational decarbonization process of China’s and the United States (US) residential buildings from 2000 to 2060 by combining the end-use emission model with the decomposing structural decomposition (DSD) method and Monte Carlo simulation. The results show that from 2001 to 2020 China decarbonized 1544 mega-tons of carbon dioxide (MtCO2) and the US decarbonized 1848 MtCO2. In the business-as-usual scenario, China will hit its emission peak in 2031 (±3) with 934 (±61) MtCO2, while the US will maintain a lock-in level of 736 (±133) MtCO2 since the 2030s. In the decarbonization scenario, operational carbon neutrality for residential buildings in 2060 is promoted by an increase in clean power generation proportion, building-integrated power generation level, building electrification level, and a reduction in end-use energy intensity, which will contribute 34.4 %, 21.4 %, 14.3 %, and 29.9 % in China and 32.9 %, 33.1 %, 8.2 %, and 25.8 % in the US, respectively. Especially, building-integrated power generation in China only costs about 40 % of what it costs in the US. Besides, high-decarbonization strategies for residential building operations are proposed as references for governments to formulate targeted climate policies. Overall, this study offers data benchmarks for buildings’ carbon neutrality of top economies to further promote synergistic carbon neutrality with the buildings of emerging economies in the age of Post COP27.

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  • Zhang, Shufan & Zhou, Nan & Feng, Wei & Ma, Minda & Xiang, Xiwang & You, Kairui, 2023. "Pathway for decarbonizing residential building operations in the US and China beyond the mid-century," Applied Energy, Elsevier, vol. 342(C).
  • Handle: RePEc:eee:appene:v:342:y:2023:i:c:s0306261923005287
    DOI: 10.1016/j.apenergy.2023.121164
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    References listed on IDEAS

    as
    1. Vaninsky, Alexander, 2014. "Factorial decomposition of CO2 emissions: A generalized Divisia index approach," Energy Economics, Elsevier, vol. 45(C), pages 389-400.
    2. Xiang, Xiwang & Ma, Minda & Ma, Xin & Chen, Liming & Cai, Weiguang & Feng, Wei & Ma, Zhili, 2022. "Historical decarbonization of global commercial building operations in the 21st century," Applied Energy, Elsevier, vol. 322(C).
    3. Khan, Zeeshan & Ali, Shahid & Dong, Kangyin & Li, Rita Yi Man, 2021. "How does fiscal decentralization affect CO2 emissions? The roles of institutions and human capital," Energy Economics, Elsevier, vol. 94(C).
    4. Xu, X.Y. & Ang, B.W., 2014. "Analysing residential energy consumption using index decomposition analysis," Applied Energy, Elsevier, vol. 113(C), pages 342-351.
    5. Zhou, Wei & Moncaster, Alice & O'Neill, Eoghan & Reiner, David M. & Wang, Xinke & Guthrie, Peter, 2022. "Modelling future trends of annual embodied energy of urban residential building stock in China," Energy Policy, Elsevier, vol. 165(C).
    6. Andrews, Abigail & Jain, Rishee K., 2022. "Beyond Energy Efficiency: A clustering approach to embed demand flexibility into building energy benchmarking," Applied Energy, Elsevier, vol. 327(C).
    7. Jing, Rui & Hua, Weiqi & Lin, Jian & Lin, Jianyi & Zhao, Yingru & Zhou, Yue & Wu, Jianzhong, 2022. "Cost-efficient decarbonization of local energy systems by whole-system based design optimization," Applied Energy, Elsevier, vol. 326(C).
    8. Shimoda, Yoshiyuki & Sugiyama, Minami & Nishimoto, Ryuya & Momonoki, Takashi, 2021. "Evaluating decarbonization scenarios and energy management requirement for the residential sector in Japan through bottom-up simulations of energy end-use demand in 2050," Applied Energy, Elsevier, vol. 303(C).
    9. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin & Jiang, Hongdian, 2022. "How does industrial structure adjustment reduce CO2 emissions? Spatial and mediation effects analysis for China," Energy Economics, Elsevier, vol. 105(C).
    10. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    11. Fina, Bernadette & Roberts, Mike B. & Auer, Hans & Bruce, Anna & MacGill, Iain, 2021. "Exogenous influences on deployment and profitability of photovoltaics for self-consumption in multi-apartment buildings in Australia and Austria," Applied Energy, Elsevier, vol. 283(C).
    12. Wang, Zongrun & Fu, Haiqin & Ren, Xiaohang, 2023. "Political connections and corporate carbon emission: New evidence from Chinese industrial firms," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    13. Peter Berrill & Eric J. H. Wilson & Janet L. Reyna & Anthony D. Fontanini & Edgar G. Hertwich, 2022. "Author Correction: Decarbonization pathways for the residential sector in the United States," Nature Climate Change, Nature, vol. 12(11), pages 1068-1068, November.
    14. Nan Zhou & Nina Khanna & Wei Feng & Jing Ke & Mark Levine, 2018. "Scenarios of energy efficiency and CO2 emissions reduction potential in the buildings sector in China to year 2050," Nature Energy, Nature, vol. 3(11), pages 978-984, November.
    15. Peter Berrill & Eric J. H. Wilson & Janet L. Reyna & Anthony D. Fontanini & Edgar G. Hertwich, 2022. "Decarbonization pathways for the residential sector in the United States," Nature Climate Change, Nature, vol. 12(8), pages 712-718, August.
    16. Zhang, Xi & Geng, Yong & Shao, Shuai & Dong, Huijuan & Wu, Rui & Yao, Tianli & Song, Jiekun, 2020. "How to achieve China’s CO2 emission reduction targets by provincial efforts? – An analysis based on generalized Divisia index and dynamic scenario simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    17. Yang, Tao & Pan, Yiqun & Yang, Yikun & Lin, Meishun & Qin, Bingyue & Xu, Peng & Huang, Zhizhong, 2017. "CO2 emissions in China's building sector through 2050: A scenario analysis based on a bottom-up model," Energy, Elsevier, vol. 128(C), pages 208-223.
    18. Ma, Minda & Ma, Xin & Cai, Wei & Cai, Weiguang, 2020. "Low carbon roadmap of residential building sector in China: Historical mitigation and prospective peak," Applied Energy, Elsevier, vol. 273(C).
    19. Chen, Qingjuan & Wang, Qunwei & Zhou, Dequn & Wang, Honggang, 2023. "Drivers and evolution of low-carbon development in China's transportation industry: An integrated analytical approach," Energy, Elsevier, vol. 262(PB).
    20. Wen, Hong-xing & Chen, Zhe & Yang, Qian & Liu, Jin-yi & Nie, Pu-yan, 2022. "Driving forces and mitigating strategies of CO2 emissions in China: A decomposition analysis based on 38 industrial sub-sectors," Energy, Elsevier, vol. 245(C).
    21. Zhou, Nan & Fridley, David & Khanna, Nina Zheng & Ke, Jing & McNeil, Michael & Levine, Mark, 2013. "China's energy and emissions outlook to 2050: Perspectives from bottom-up energy end-use model," Energy Policy, Elsevier, vol. 53(C), pages 51-62.
    22. Yue, Xiufeng & Deane, J.P. & O'Gallachoir, Brian & Rogan, Fionn, 2020. "Identifying decarbonisation opportunities using marginal abatement cost curves and energy system scenario ensembles," Applied Energy, Elsevier, vol. 276(C).
    23. Wang, Jing & Munankarmi, Prateek & Maguire, Jeff & Shi, Chengnan & Zuo, Wangda & Roberts, David & Jin, Xin, 2022. "Carbon emission responsive building control: A case study with an all-electric residential community in a cold climate," Applied Energy, Elsevier, vol. 314(C).
    24. Li, Kai & Ma, Minda & Xiang, Xiwang & Feng, Wei & Ma, Zhili & Cai, Weiguang & Ma, Xin, 2022. "Carbon reduction in commercial building operations: A provincial retrospection in China," Applied Energy, Elsevier, vol. 306(PB).
    25. Chen, Qi & Li, Xinyuan & Zhang, Zhengjia & Zhou, Chao & Guo, Zhiling & Liu, Zhengguang & Zhang, Haoran, 2023. "Remote sensing of photovoltaic scenarios: Techniques, applications and future directions," Applied Energy, Elsevier, vol. 333(C).
    26. Li, Jianglong & Ho, Mun Sing & Xie, Chunping & Stern, Nicholas, 2022. "China's flexibility challenge in achieving carbon neutrality by 2060," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    27. Mousavi, Babak & Lopez, Neil Stephen A. & Biona, Jose Bienvenido Manuel & Chiu, Anthony S.F. & Blesl, Markus, 2017. "Driving forces of Iran's CO2 emissions from energy consumption: An LMDI decomposition approach," Applied Energy, Elsevier, vol. 206(C), pages 804-814.
    28. White, Philip R. & Rhodes, Joshua D. & Wilson, Eric J.H. & Webber, Michael E., 2021. "Quantifying the impact of residential space heating electrification on the Texas electric grid," Applied Energy, Elsevier, vol. 298(C).
    29. Yang, Shiyu & Oliver Gao, H. & You, Fengqi, 2022. "Model predictive control in phase-change-material-wallboard-enhanced building energy management considering electricity price dynamics," Applied Energy, Elsevier, vol. 326(C).
    30. Zhang, Shufan & Ma, Minda & Li, Kai & Ma, Zhili & Feng, Wei & Cai, Weiguang, 2022. "Historical carbon abatement in the commercial building operation: China versus the US," Energy Economics, Elsevier, vol. 105(C).
    31. Thebault, Martin & Desthieux, Gilles & Castello, Roberto & Berrah, Lamia, 2022. "Large-scale evaluation of the suitability of buildings for photovoltaic integration: Case study in Greater Geneva," Applied Energy, Elsevier, vol. 316(C).
    32. Zhang, Bo & Qiu, Rui & Liao, Qi & Liang, Yongtu & Ji, Haoran & Jing, Rui, 2022. "Design and operation optimization of city-level off-grid hydro–photovoltaic complementary system," Applied Energy, Elsevier, vol. 306(PB).
    33. Tang, Hong & Wang, Shengwei, 2022. "Multi-level optimal dispatch strategy and profit-sharing mechanism for unlocking energy flexibilities of non-residential building clusters in electricity markets of multiple flexibility services," Renewable Energy, Elsevier, vol. 201(P1), pages 35-45.
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