Author
Listed:
- Wu, Qianhui
- Zhang, Rongda
- Zhou, Lai
- Tong, Jianhao
- Zhou, Can
- Zhao, Xinxu
- Wang, Xutao
- Zhang, Yongxin
- Fan, Haidong
- Zhang, Yang
- Wang, Fengjun
- Zheng, Chenghang
- Gao, Xiang
Abstract
Considering that China's coal power sector generates over one-third of national carbon emissions, its scientifically planned transition is crucial to meeting the 2 °C goal. Based on variations in operational status, resource conditions and economic indicators across coal-fired power plants, this study conducts a unit-level optimization for the low-carbon transition of China's coal power industry, with the objective of maximizing net present value (NPV). It helps optimize carbon reduction pathways and supports integrated decision-making on low-carbon transition technologies. Finally, the study proposes low-carbon transition pathways at different capacity levels. The results show that optimizing the carbon mitigation pathway and rationally deploying multiple low-carbon technologies can reduce transition costs by 38.73%. Additionally, if the coal power industry undertakes rapid decarbonization from 2030 to 2035, rather than waiting until later years, the transition costs will be reduced by 37.32%. Considering the application of energy efficiency technologies (EET) provides an additional 2.25-10.82% reduction in transition costs. The findings reveal regional and plant-level differences in technology adoption and timing. After 2035, east, south, and central China are expected to transition from single-technology retrofitting to a multi-technology combination of “EET + flex retrofitting (Flex) + biomass co-firing (Bio)/bioenergy with carbon capture and storage (BECCS)”. In other regions, apart from the above technology combinations, the EET + Flex combination maintains advantages. As the capacity level increases, it becomes more common to couple Bio/BECCS with EET + Flex. Smaller capacity units tend to adopt Flex, EET + Flex or compulsory retirement.
Suggested Citation
Wu, Qianhui & Zhang, Rongda & Zhou, Lai & Tong, Jianhao & Zhou, Can & Zhao, Xinxu & Wang, Xutao & Zhang, Yongxin & Fan, Haidong & Zhang, Yang & Wang, Fengjun & Zheng, Chenghang & Gao, Xiang, 2026.
"Optimizing China's coal power transition pathways under integrated multi-technology mitigation decisions,"
Energy, Elsevier, vol. 360(C).
Handle:
RePEc:eee:energy:v:360:y:2026:i:c:s0360544226015987
DOI: 10.1016/j.energy.2026.141492
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