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Volume 13
Issue 6
10.3390/pr13061911
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

A Dynamic Three-Dimensional Evaluation Framework for CCUS Deployment in Coal-Fired Power Plants

by
Jiangtao Zhu
1,2,
Tiankun Wang
1,2,
Yongzheng Gu
2,3,
Siyuan Liu
2,3,
Zhiwei Xun
2,3,
Dongpo Men
1,2 and
Bin Cai
4,*
1
GD Power Development Co., Ltd., Beijing 100101, China
2
National Energy Research and Development Center of Carbon Capture, Utilization and Storage (CCUS) Technology for Coal-Based Energy, Beijing 100101, China
3
CHN Energy (Beijing) Low Carbon Technology Co., Ltd., Beijing 100025, China
4
State Grid Electric Power Research Institute (NARI Group Corporation), Nanjing 211106, China
*
Author to whom correspondence should be addressed.
Processes 2025, 13(6), 1911; https://doi.org/10.3390/pr13061911
Submission received: 18 May 2025 / Revised: 10 June 2025 / Accepted: 12 June 2025 / Published: 16 June 2025
(This article belongs to the Special Issue Advances in Smart Grids and Microgrids: Distributed Generation and Energy Storage Systems)
Versions Notes

Abstract

Under the “dual-carbon” targets, the coal power industry faces significant challenges in low-carbon transition, with carbon capture, utilization, and storage (CCUS) technologies as a key solution for emission reduction and energy security. Existing evaluation methods lack comprehensive assessments of technical, economic, and environmental synergies. This study proposes a dynamic three-dimensional framework integrating technical, economic, and emission indicators. By using Monte Carlo simulation and K-means clustering, the framework captures technology degradation and market fluctuations. Results show compression energy consumption averages of 0.37 ± 0.07 GJ/tCO2, with capture rates above 94%, increasing the variability by 35%. Lifecycle costs can be reduced by 24% at carbon prices of 80–100 USD/tCO2 with optimal subsidies. Emission costs peak alongside carbon prices above 430 USD/t, suggesting the need for tiered carbon pricing and CAPEX subsidies. A cluster analysis divides CCUS into high-capture-high-energy, balanced, and low-efficiency types, supporting differentiated policies such as tiered carbon pricing and phased subsidy withdrawal. This research offers actionable insights to balance economic viability and carbon neutrality goals.
Keywords: carbon capture and storage; dynamic evaluation; Monte Carlo simulation; levelized cost; policy optimization carbon capture and storage; dynamic evaluation; Monte Carlo simulation; levelized cost; policy optimization

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MDPI and ACS Style

Zhu, J.; Wang, T.; Gu, Y.; Liu, S.; Xun, Z.; Men, D.; Cai, B. A Dynamic Three-Dimensional Evaluation Framework for CCUS Deployment in Coal-Fired Power Plants. Processes 2025, 13, 1911. https://doi.org/10.3390/pr13061911

AMA Style

Zhu J, Wang T, Gu Y, Liu S, Xun Z, Men D, Cai B. A Dynamic Three-Dimensional Evaluation Framework for CCUS Deployment in Coal-Fired Power Plants. Processes. 2025; 13(6):1911. https://doi.org/10.3390/pr13061911

Chicago/Turabian Style

Zhu, Jiangtao, Tiankun Wang, Yongzheng Gu, Siyuan Liu, Zhiwei Xun, Dongpo Men, and Bin Cai. 2025. "A Dynamic Three-Dimensional Evaluation Framework for CCUS Deployment in Coal-Fired Power Plants" Processes 13, no. 6: 1911. https://doi.org/10.3390/pr13061911

APA Style

Zhu, J., Wang, T., Gu, Y., Liu, S., Xun, Z., Men, D., & Cai, B. (2025). A Dynamic Three-Dimensional Evaluation Framework for CCUS Deployment in Coal-Fired Power Plants. Processes, 13(6), 1911. https://doi.org/10.3390/pr13061911

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