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

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

Applied Energy, 2023, vol. 342, issue C, No S0306261923005287

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.

Keywords: Residential building; Operational decarbonization; Carbon neutral pathway; End-use activity; Decomposing structural decomposition; Monte Carlo simulation (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (17)

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DOI: 10.1016/j.apenergy.2023.121164

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