Quantifying Carbon Leakage from Renewable Shortfalls in China’s Power System under Future Scenarios

, equivalent to about 4% of China's 2020 power-sector emissions. Renewable power deficits remain concentrated in central and eastern load centers, whereas the associated carbon leakage is more spatially dispersed and extends into major electricity-exporting regions. The drivers of leakage also shift seasonally. Power load remains the dominant year-round driver, while the seasonal drivers of leakage shift from temperature-driven demand in winter and summer to wind and solar variability in spring and autumn. These results indicate that managing renewable shortfalls is essential not only for maintaining reliability but also for avoiding structurally embedded rebound emissions during deep power-sector decarbonization.

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Publication Details

Journal
Environmental Science & Technology
Published
2026-05-12
DOI
https://doi.org/10.1021/acs.est.5c14293
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
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Quantifying Carbon Leakage from Renewable Shortfalls in China’s Power System under Future Scenarios

Jie Yang, Linze Hou, Miaomiao Liu, Wen Fang et al.
Environmental Science & Technology
Integrated Energy Systems Optimization
article

Quantifying Carbon Leakage from Renewable Shortfalls in China’s Power System under Future Scenarios

Jie Yang, Linze Hou, Miaomiao Liu, Wen Fang, Zongwei Ma, Jun Bi
article en

Abstract

, equivalent to about 4% of China's 2020 power-sector emissions. Renewable power deficits remain concentrated in central and eastern load centers, whereas the associated carbon leakage is more spatially dispersed and extends into major electricity-exporting regions. The drivers of leakage also shift seasonally. Power load remains the dominant year-round driver, while the seasonal drivers of leakage shift from temperature-driven demand in winter and summer to wind and solar variability in spring and autumn. These results indicate that managing renewable shortfalls is essential not only for maintaining reliability but also for avoiding structurally embedded rebound emissions during deep power-sector decarbonization.

Environmental Science & Technology
Nanjing University of Information Science and Technology (CN), State Key Laboratory of Pollution Control and Resource Reuse (CN), Nanjing University (CN)
Affordable and clean energy
Openalex Percentile: Top 7%
Integrated Energy Systems Optimization
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