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DOI10.1038/s41467-021-27671-0
Assessing the energy transition in China towards carbon neutrality with a probabilistic framework
Zhang S.; Chen W.
发表日期2022
ISSN2041-1723
卷号13期号:1
英文摘要A profound transformation of China’s energy system is required to achieve carbon neutrality. Here, we couple Monte Carlo analysis with a bottom-up energy-environment-economy model to generate 3,000 cases with different carbon peak times, technological evolution pathways and cumulative carbon budgets. The results show that if emissions peak in 2025, the carbon neutrality goal calls for a 45–62% electrification rate, 47–78% renewable energy in primary energy supply, 5.2–7.9 TW of solar and wind power, 1.5–2.7 PWh of energy storage usage and 64–1,649 MtCO2 of negative emissions, and synergistically reducing approximately 80% of local air pollutants compared to the present level in 2050. The emission peak time and cumulative carbon budget have significant impacts on the decarbonization pathways, technology choices, and transition costs. Early peaking reduces welfare losses and prevents overreliance on carbon removal technologies. Technology breakthroughs, production and consumption pattern changes, and policy enhancement are urgently required to achieve carbon neutrality. © 2022, The Author(s).
语种英语
scopus关键词alternative energy; assessment method; carbon budget; electrification; energy storage; Monte Carlo analysis; probability; China
来源期刊Nature Communications
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/250537
作者单位Institute of Energy, Environment and Economy, Tsinghua University, Beijing, 100084, China
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Zhang S.,Chen W.. Assessing the energy transition in China towards carbon neutrality with a probabilistic framework[J],2022,13(1).
APA Zhang S.,&Chen W..(2022).Assessing the energy transition in China towards carbon neutrality with a probabilistic framework.Nature Communications,13(1).
MLA Zhang S.,et al."Assessing the energy transition in China towards carbon neutrality with a probabilistic framework".Nature Communications 13.1(2022).
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