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关键矿产限制对能源转型以及朝着《巴黎协定》气候目标的贸易构成压力。

Critical mineral constraints pressure energy transition and trade toward the Paris Agreement climate goals.

作者信息

Shi Huiting, Heng Jiani, Duan Hongbo, Li Huajiao, Chen Weiqiang, Wang Peng, Cui Lianbiao, Wang Shouyang

机构信息

School of Economics & Management, Xidian University, Xi'an, Shaanxi, China.

School of Mathematics and Statistics, Beijing Technology and Business University, Beijing, China.

出版信息

Nat Commun. 2025 May 14;16(1):4496. doi: 10.1038/s41467-025-59741-y.

Abstract

The clean energy transition centered on photovoltaic solar and wind power is widely regarded as the fundamental way to achieve the Paris Agreement's pledges. The development of clean energies, however, relies much more on critical minerals than that of conventional ones. It is therefore vital to incorporate mineral constraints into integrated assessment modeling and designing of energy transition pathways. To this end, we reexamine the feasibility of China's energy transition evaluated by 5 typical integrated assessment models, then reconfigure the pathways and assess possible trade and warming risks by designing primary mineral supply, recovery and technological progress scenarios. The results indicate that the contribution of solar and wind power to achieve the Paris Agreement goals may far below our expectation due to critical mineral constraints, and the installed capacity of the targeted two renewables will averagely decline by over 56.7% and 68.9%, respectively, by 2060 under the 1.5 °C warming limit. This may lead to an emission gap of carbon reduction by up to 2.35 GtCO, which will greatly challenge China's attainment of carbon neutrality.

摘要

以太阳能光伏和风能为核心的清洁能源转型被广泛视为实现《巴黎协定》承诺的根本途径。然而,与传统能源相比,清洁能源的发展对关键矿产的依赖程度要高得多。因此,将矿产限制纳入能源转型路径的综合评估建模和设计至关重要。为此,我们重新审视了由5个典型综合评估模型评估的中国能源转型的可行性,然后重新规划路径,并通过设计主要矿产供应、回收利用和技术进步情景来评估可能的贸易和变暖风险。结果表明,由于关键矿产的限制,太阳能和风能对实现《巴黎协定》目标的贡献可能远低于我们的预期,在1.5°C的变暖限制下,到2060年,目标中的两种可再生能源的装机容量将分别平均下降超过56.7%和68.9%。这可能导致高达23.5亿吨二氧化碳的碳减排排放差距,这将极大地挑战中国实现碳中和的目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56f0/12078721/1b8f01fb5298/41467_2025_59741_Fig1_HTML.jpg

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