Decarbonization of Lithium Battery Plant: A Planning Methodology Considering Manufacturing Chain Flexibilities

The rising penetration of electric vehicles is driving huge demand for lithium batteries, making low-carbon manufacturing a critical objective. This goal is challenged by insufficient production scheduling flexibility and the neglect of carbon-reduction technologies. To address these challenges, this paper develops a low-carbon planning methodology for lithium battery plant energy systems by leveraging manufacturing chain flexibilities. First, a lithium battery energy–carbon material modeling approach is developed that accounts for process production delays and intermediate product storage to capture schedulable process energy consumption patterns. A nitrogen–oxygen coupling production framework is introduced to facilitate oxygen-enriched combustion technology application, while energy recovery pathways are incorporated given the high energy consumption of the formation stage. Subsequently, a process scheduling-driven planning model for lithium battery industrial integrated energy systems (IIES) is developed. Finally, the planning model is validated through four contrasting case studies and systematically evaluated using multi-criteria decision analysis (MCDA). The results demonstrate three principal conclusions: (1) incorporating process scheduling effectively enhances process energy flexibility and reduces total system costs by 19.4%, with MCDA closeness coefficient improving from 0.257 to 0.665; (2) oxygen-enriched combustion increases maximum combustion and carbon capture (CCS) rates from 90% to 95%, reducing carbon tax to 40.5% of the baseline; (3) energy recovery on the basis of process scheduling further reduces costs and carbon emissions, with battery recovery achieving an additional 30.2% cost reduction compared to 24.1% for heat recovery, and MCDA identifies this integrated approach as the optimal solution with a closeness coefficient of 0.919.

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Publication Details

Journal
Processes
Published
2025-10-20
DOI
https://doi.org/10.3390/pr13103360
Primary Topic
Extraction and Separation Processes
Type
article
Field-Weighted Citation Impact
0.00

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article

Decarbonization of Lithium Battery Plant: A Planning Methodology Considering Manufacturing Chain Flexibilities

Anlan Chen, Suyang Zhou, Yue Qiu, Bo Yuan et al.
Processes
Extraction and Separation Processes
article

Decarbonization of Lithium Battery Plant: A Planning Methodology Considering Manufacturing Chain Flexibilities

Anlan Chen, Suyang Zhou, Yue Qiu, Bo Yuan, Wennan Zhuang, Gang Lü, Ruonan Li, Yingxiang Wang, Peng Xia, Zhizhen Li
article en

Abstract

The rising penetration of electric vehicles is driving huge demand for lithium batteries, making low-carbon manufacturing a critical objective. This goal is challenged by insufficient production scheduling flexibility and the neglect of carbon-reduction technologies. To address these challenges, this paper develops a low-carbon planning methodology for lithium battery plant energy systems by leveraging manufacturing chain flexibilities. First, a lithium battery energy–carbon material modeling approach is developed that accounts for process production delays and intermediate product storage to capture schedulable process energy consumption patterns. A nitrogen–oxygen coupling production framework is introduced to facilitate oxygen-enriched combustion technology application, while energy recovery pathways are incorporated given the high energy consumption of the formation stage. Subsequently, a process scheduling-driven planning model for lithium battery industrial integrated energy systems (IIES) is developed. Finally, the planning model is validated through four contrasting case studies and systematically evaluated using multi-criteria decision analysis (MCDA). The results demonstrate three principal conclusions: (1) incorporating process scheduling effectively enhances process energy flexibility and reduces total system costs by 19.4%, with MCDA closeness coefficient improving from 0.257 to 0.665; (2) oxygen-enriched combustion increases maximum combustion and carbon capture (CCS) rates from 90% to 95%, reducing carbon tax to 40.5% of the baseline; (3) energy recovery on the basis of process scheduling further reduces costs and carbon emissions, with battery recovery achieving an additional 30.2% cost reduction compared to 24.1% for heat recovery, and MCDA identifies this integrated approach as the optimal solution with a closeness coefficient of 0.919.

ProcessesVol. 13(10)
Nanjing Normal University (CN), Taiyuan Normal University (CN), Energy Research Institute (CN), Economic Research Institute (BG), Southeast University (CN), Taizhou University (CN)
Government of Jiangsu Province, State Grid Corporation of China, Science and Technology Project of State Grid
Openalex Percentile: Top 69%
Extraction and Separation Processes
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