Provincial allocation of China's commercial building operational carbon towards carbon neutrality
National carbon peak track and optimized provincial carbon allocations are crucial for mitigating regional inequality within the commercial building sector during China's transition to carbon neutrality. This study proposes a top-down model to evaluate carbon trajectories in operational commerc...
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Zusammenfassung: | National carbon peak track and optimized provincial carbon allocations are
crucial for mitigating regional inequality within the commercial building
sector during China's transition to carbon neutrality. This study proposes a
top-down model to evaluate carbon trajectories in operational commercial
buildings up to 2060. Through Monte Carlo simulation, scenario analysis is
conducted to assess carbon peak values and the corresponding peaking year,
thereby optimizing carbon allocation schemes both nationwide and provincially.
The results reveal that (1) the nationwide carbon peak for commercial building
operations is projected to reach 890 (+- 50) megatons of carbon dioxide (MtCO2)
by 2028 (+- 3.7 years) in the case of the business-as-usual scenario, with a
7.87% probability of achieving the carbon peak under the decarbonization
scenario. (2) Significant disparities will exist among provinces, with
Shandong's carbon peak projected at 69.6 (+- 4.0) MtCO2 by 2029, approximately
11 times higher than Ningxia's peak of 6.0 (+- 0.3) MtCO2 by 2027. (3) Guided
by the principle of maximizing the emission reduction potential, the optimal
provincial allocation scheme reveals the top three provinces requiring the most
significant reductions in the commercial sector: Xinjiang (5.6 MtCO2), Shandong
(4.8 MtCO2), and Henan (4.7 MtCO2). Overall, this study offers optimized
provincial carbon allocation strategies within the commercial building sector
in China via dynamic scenario simulations, with the goal of hitting the carbon
peak target and progressing toward a low-carbon future for the building sector. |
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DOI: | 10.48550/arxiv.2412.14523 |