脱碳路径的省际异质性:中国电力系统走向碳中和的时空演化

IF 12
Guangyao Wang, Zhengguang Liu
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引用次数: 0

摘要

加快电力系统的脱碳对于实现中国的碳中和目标和减缓全球变暖至关重要。考虑到《巴黎协定》设定的碳中和目标和温度限制,制定了三个碳中和情景——ndc(国家自主贡献)、CN2055(加速脱碳)和GM1.5(全球1.5°C温度控制)。利用全球变化分析模型(GCAM)对不同情景下的碳排放途径、能源转换和发电成本进行了定量评估。系统分析了中国31个省区2025 - 2060年碳排放和电力系统的时空变化特征及动态趋势。结果表明:(1)不同情景下的减排路径差异显著。NDC情景下的碳排放量在2030年达到峰值,然后下降。CN2055情景更早达到峰值,加速了脱碳。到2050年,GM1.5情景接近零排放。②低碳排放主要集中在内陆地区,特别是西部地区,而高碳排放主要集中在东部沿海地区。这种对比随着时间的推移而减弱。(3)非化石能源比重从45%提高到82%,煤电比重下降到16%,风能和太阳能合计贡献率超过56%。(4)环境库兹涅茨曲线(EKC)表明,东部地区较早到达EKC拐点,而中西部地区受益于“后发优势”,以较低的经济门槛实现了减排。(5)清洁能源渗透率的提高将降低发电成本,而适度的电力需求增长将显著降低未来的总成本。研究结果为中国电力系统的低碳转型决策提供了有价值的见解,并为其他努力实现碳中和目标的国家提供了启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Interprovincial Heterogeneity in Decarbonization Pathways: Spatiotemporal Evolution of China's Power System Toward Carbon Neutrality

Interprovincial Heterogeneity in Decarbonization Pathways: Spatiotemporal Evolution of China's Power System Toward Carbon Neutrality

Accelerating the decarbonization of power systems is crucial for achieving China's carbon neutrality goals and mitigating global warming. Considering the carbon neutrality targets and temperature limits set by the Paris Agreement, three carbon neutrality scenarios—NDC (Nationally Determined Contribution), CN2055 (Accelerated Decarbonization), and GM1.5 (Global 1.5°C Temperature Control)—were developed. The Global Change Analysis Model (GCAM) was used to quantitatively assess carbon emission pathways, energy transformation, and power generation costs across different scenarios. The spatial and temporal variations, along with the dynamic trends in carbon emissions and power systems across 31 provinces of China from 2025 to 2060, were systematically analyzed. The results indicate the following: (1) Emission reduction pathways vary significantly across different scenarios. Carbon emissions in the NDC scenario peaked in 2030 and then declined. The CN2055 scenario reached its peak earlier and accelerated decarbonization. The GM1.5 scenario reached nearzero emissions by 2050. (2) Low-carbon emissions are concentrated in inland regions, particularly the west, while high-carbon emissions are predominantly found in the eastern coastal areas. This contrast diminishes over time. (3) The proportion of nonfossil energy increased from 45% to 82%, coal power decreased to 16%, and wind and solar power collectively contributed over 56%. (4) The Environmental Kuznets Curve (EKC) suggests that the eastern region reached the EKC turning point earlier, while the central and western regions benefited from the “late-mover advantage” and achieved emission reductions with a lower economic threshold. (5) Increased clean energy penetration will lower power generation costs, while moderate power demand growth can significantly reduce future total costs. The findings provide valuable insights for decision-making regarding the low-carbon transformation of China's power system and offer implications for other countries striving to achieve carbon neutrality goals.

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