Green supply chain for coal: Models and optimization

Coal, as an indispensable energy source for global power generation, necessitates significant attention to its transportation operations. In practical applications, coal blending has been shown to effectively reduce sulfur emissions from power plants. Addressing this challenge, this study proposes a coal transportation scheduling model that integrates considerations of port stockyard capacity, operational conflicts among stockpile groups, and blending requirements to meet power generation demands. The model aims to coordinate coal reclaiming, stacking, and transportation operations while minimizing coal storage costs and sulfur treatment costs, ensuring the uninterrupted fulfillment of power generation tasks. Finally, the proposed scheduling model is validated through case analysis and computational experiments based on real-world scenarios of a thermal power plant, providing practical insights for the operation of coal-fired power plants.

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Publication Details

Journal
Cleaner Logistics and Supply Chain
Published
2025-02-06
DOI
https://doi.org/10.1016/j.clscn.2025.100206
Citations
3
Primary Topic
Mining Techniques and Economics
Type
article
Field-Weighted Citation Impact
3.64
Controls
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article

Green supply chain for coal: Models and optimization

Ronghui Qi, Xiao Wang, Li Li, Zhi-yuan Chen
3 citations
Cleaner Logistics and Supply Chain
Mining Techniques and Economics
3.64
article

Green supply chain for coal: Models and optimization

Ronghui Qi, Xiao Wang, Li Li, Zhi-yuan Chen
article en
3 citations

Abstract

Coal, as an indispensable energy source for global power generation, necessitates significant attention to its transportation operations. In practical applications, coal blending has been shown to effectively reduce sulfur emissions from power plants. Addressing this challenge, this study proposes a coal transportation scheduling model that integrates considerations of port stockyard capacity, operational conflicts among stockpile groups, and blending requirements to meet power generation demands. The model aims to coordinate coal reclaiming, stacking, and transportation operations while minimizing coal storage costs and sulfur treatment costs, ensuring the uninterrupted fulfillment of power generation tasks. Finally, the proposed scheduling model is validated through case analysis and computational experiments based on real-world scenarios of a thermal power plant, providing practical insights for the operation of coal-fired power plants.

Cleaner Logistics and Supply ChainVol. 14
China Shenhua Energy (China) (CN), Hebei Science and Technology Department (CN)
Openalex Percentile: Top 9%
Mining Techniques and Economics
3.64
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Green supply chain for coal: Models and optimization — Ronghui Qi, Xiao Wang, et al. · Cleaner Logistics and Supply Chain (2025) | TGRS Research Map | TGRS