LAPSE:2026.0226
Published Article

LAPSE:2026.0226
A Whole Systems Thinking Model Towards Optimal Decarbonization Strategies for China's Cement Sector
June 12, 2026
Abstract
China's cement industry accounts for over half of global production and contributes 8% of global CO2 emissions, making its decarbonization critical for achieving climate targets. While carbon capture and storage (CCS) and carbon capture and utilization (CCU) are essential deep decarbonization technologies, existing research has not adequately addressed the regional and temporal variations needed for optimal pathway selection across China's diverse provinces. This study develops a comprehensive whole-systems optimization model to design provincial-scale decarbonization pathways for China's cement industry from 2025 to 2060. The model reveals significant spatial and temporal heterogeneity in optimal technology combinations. Before 2050, traditional cement processes integrated with CCS (TCP-CCS) represent the dominant bridging technology for low-carbon transition. However, reaching carbon neutrality by 2060 necessitates an eventual shift toward widespread deployment of novel chemical processes combined with green hydrogen (NCP-H2) as the ultimate decarbonization pathway. Notably, regional natural gas prices significantly affect technology feasibility and deployment timing. The optimized transition pathway reduces unit clinker costs by approximately 58% compared to 2025 levels while successfully meeting the 2060 carbon neutrality target. This research framework provides quantitative decision support for policymakers to design cost-effective, province-specific decarbonization strategies that align with local resource endowments and economic conditions, ultimately advancing deep decarbonization across China's industrial sector.
China's cement industry accounts for over half of global production and contributes 8% of global CO2 emissions, making its decarbonization critical for achieving climate targets. While carbon capture and storage (CCS) and carbon capture and utilization (CCU) are essential deep decarbonization technologies, existing research has not adequately addressed the regional and temporal variations needed for optimal pathway selection across China's diverse provinces. This study develops a comprehensive whole-systems optimization model to design provincial-scale decarbonization pathways for China's cement industry from 2025 to 2060. The model reveals significant spatial and temporal heterogeneity in optimal technology combinations. Before 2050, traditional cement processes integrated with CCS (TCP-CCS) represent the dominant bridging technology for low-carbon transition. However, reaching carbon neutrality by 2060 necessitates an eventual shift toward widespread deployment of novel chemical processes combined with green hydrogen (NCP-H2) as the ultimate decarbonization pathway. Notably, regional natural gas prices significantly affect technology feasibility and deployment timing. The optimized transition pathway reduces unit clinker costs by approximately 58% compared to 2025 levels while successfully meeting the 2060 carbon neutrality target. This research framework provides quantitative decision support for policymakers to design cost-effective, province-specific decarbonization strategies that align with local resource endowments and economic conditions, ultimately advancing deep decarbonization across China's industrial sector.
Record ID
Keywords
CCS, Cement decarbonization, Green hydrogen, MILP, Supply chains, Whole systems thinking
Subject
Suggested Citation
Wang Y, Du W, Yang M, Charitopoulos VM. A Whole Systems Thinking Model Towards Optimal Decarbonization Strategies for China's Cement Sector. Systems and Control Transactions 5:198-204 (2026) https://doi.org/10.69997/sct.173685
Author Affiliations
Wang Y: Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China. Department of Chemical Engineering, The Sargent Centre for Process Systems Engineering, Univ
Du W: Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China
Yang M: Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China
Charitopoulos VM: Department of Chemical Engineering, The Sargent Centre for Process Systems Engineering, University College London (UCL), Torrington Place, WC1E 7JE, UK
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Du W: Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China
Yang M: Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China
Charitopoulos VM: Department of Chemical Engineering, The Sargent Centre for Process Systems Engineering, University College London (UCL), Torrington Place, WC1E 7JE, UK
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Journal Name
Systems and Control Transactions
Volume
5
First Page
198
Last Page
204
Year
2026
Publication Date
2026-06-12
Version Comments
Original Submission
Other Meta
PII: 0198-0204-498-SCT-5-2026, Publication Type: Journal Article
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LAPSE:2026.0226
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https://doi.org/10.69997/sct.173685
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Jun 12, 2026
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References Cited
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