Optimal Design of a Modular Production System for Renewable Methanol to Mitigate Carbon Dioxide Emissions from Coal-Fired Power Plants

An optimal design approach for a modular production system (MPS) for producing renewable methanol is proposed, aming at mitigating carbon dioxide emissions from coal-fired power plants. A mathematical programming model is established to optimize the capacity configuration and material/energy scheduling scheme of the MPS. The coal-fired power plant serves as the variable carbon source, whereas the wind farm provides the fluctuating renewable energy supply. The optimal design parameters and scheduling strategies for the MPS are determined by solving the proposed model. Two scenarios are considered, i.e. one involving sole energy supply fluctuations, and another one encompassing fluctuations in both energy and carbon supplies. These scenarios are analyzed to understand their effects on the design and operational performances of the MPS. The influence of wind power prices on the total annual cost of the MPS is also examined to identify the optimal conditions for deploying the proposed system.

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Publication Details

Journal
Industrial & Engineering Chemistry Research
Published
2024-11-27
DOI
https://doi.org/10.1021/acs.iecr.4c02125
Citations
4
Primary Topic
Process Optimization and Integration
Type
article
Field-Weighted Citation Impact
1.31

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article

Optimal Design of a Modular Production System for Renewable Methanol to Mitigate Carbon Dioxide Emissions from Coal-Fired Power Plants

Lixia Kang, Yongzhong Liu, Jing Wang, Yu Zhang
4 citations
Industrial & Engineering Chemistry Research
Process Optimization and Integration
1.31
article

Optimal Design of a Modular Production System for Renewable Methanol to Mitigate Carbon Dioxide Emissions from Coal-Fired Power Plants

Lixia Kang, Yongzhong Liu, Jing Wang, Yu Zhang
article en
4 citations

Abstract

An optimal design approach for a modular production system (MPS) for producing renewable methanol is proposed, aming at mitigating carbon dioxide emissions from coal-fired power plants. A mathematical programming model is established to optimize the capacity configuration and material/energy scheduling scheme of the MPS. The coal-fired power plant serves as the variable carbon source, whereas the wind farm provides the fluctuating renewable energy supply. The optimal design parameters and scheduling strategies for the MPS are determined by solving the proposed model. Two scenarios are considered, i.e. one involving sole energy supply fluctuations, and another one encompassing fluctuations in both energy and carbon supplies. These scenarios are analyzed to understand their effects on the design and operational performances of the MPS. The influence of wind power prices on the total annual cost of the MPS is also examined to identify the optimal conditions for deploying the proposed system.

Industrial & Engineering Chemistry ResearchVol. 63(49)
Xi'an Jiaotong University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 18%
Process Optimization and Integration
1.31
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