Affiliation(s):
State Key Laboratory of Clean Energy Utilization, Department of Energy Engineering, Zhejiang University, Hangzhou 310027, China;
moreAffiliation(s): State Key Laboratory of Clean Energy Utilization, Department of Energy Engineering, Zhejiang University, Hangzhou 310027, China; Zhejiang Key Laboratory of Clean Energy and Carbon Neutrality, Hangzhou 310027, China;
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Xuanxuan MING, Qiang WANG, Kun LUO, Xinhao DU, Jianren FAN. Economic analysis and impact assessment of electricity supply and demand-side emission reductions in China under carbon neutrality goals[J]. Journal of Zhejiang University Science A,in press.Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/jzus.A2500160
@article{title="Economic analysis and impact assessment of electricity supply and demand-side emission reductions in China under carbon neutrality goals", author="Xuanxuan MING, Qiang WANG, Kun LUO, Xinhao DU, Jianren FAN", journal="Journal of Zhejiang University Science A", year="in press", publisher="Zhejiang University Press & Springer", doi="https://doi.org/10.1631/jzus.A2500160" }
%0 Journal Article %T Economic analysis and impact assessment of electricity supply and demand-side emission reductions in China under carbon neutrality goals %A Xuanxuan MING %A Qiang WANG %A Kun LUO %A Xinhao DU %A Jianren FAN %J Journal of Zhejiang University SCIENCE A %P %@ 1673-565X %D in press %I Zhejiang University Press & Springer doi="https://doi.org/10.1631/jzus.A2500160"
TY - JOUR T1 - Economic analysis and impact assessment of electricity supply and demand-side emission reductions in China under carbon neutrality goals A1 - Xuanxuan MING A1 - Qiang WANG A1 - Kun LUO A1 - Xinhao DU A1 - Jianren FAN J0 - Journal of Zhejiang University Science A SP - EP - %@ 1673-565X Y1 - in press PB - Zhejiang University Press & Springer ER - doi="https://doi.org/10.1631/jzus.A2500160"
Abstract: The power sector is one of the largest carbon emitters in China, and faces non-linear cost impacts from different emission reduction measures across regions with varying electricity demand characteristics. In this study we analyze the effects and cost-efficiency of supply-side and demand-side emission reduction pathways by classifying Chinese provinces into four categories. This is accomplished through integration of the NEMO (Next Energy Modeling System for Optimization) and the LEAP (Low Emissions Analysis Platform), i.e., LEAP-NEMO. Applying this method, our results show that urbanization will likely drive stable growth in residential electricity demand, while industrial development will vary regionally. Resource-rich regions require wind and solar energy as foundational methods to decarbonize their mix of electricity sources, whereas areas with limited natural resources need nuclear energy and alternative energy generation technologies to mitigate supply gaps. Furthermore, we find that delaying the emission peak year raises marginal carbon reduction costs and the cumulative cost per unit of carbon abatement. A rate of 1.5% reduction in energy intensity is the most cost-effective for the majority of regions.
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