Full Text:
<7>
CLC number:
On-line Access: 2025-08-19
Received: 2025-04-30
Revision Accepted: 2025-07-31
Crosschecked: 0000-00-00
Cited: 0
Clicked: 16
Economic analysis and impact assessment of electricity supply and demand-side emission reductions in China under carbon neutrality goals
| |||||||||||||
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, 1998, -1(-1): .
@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",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="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
%V -1
%N -1
%P
%@ 1673-565X
%D 1998
%I Zhejiang University Press & Springer
%DOI 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
VL - -1
IS - -1
SP -
EP -
%@ 1673-565X
Y1 - 1998
PB - Zhejiang University Press & Springer
ER -
DOI - 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.
Open peer comments: Debate/Discuss/Question/Opinion
<1>