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Evaluation of the Coordination Degree of Coal and Gas Co-Mining System Based on System Dynamics

Author

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  • Shuheng Zhong

    (School of Energy and Mining Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China)

  • Dan Lin

    (School of Energy and Mining Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China)

Abstract

Coal and gas co-mining is one of the green mining technologies in coal mines. Coal and gas co-mining can reduce environmental pollution and supply-side carbon emissions from the coal industry. It has an important role to play in achieving the goal of carbon peaking and carbon neutrality. The perfect state of safety production and economic efficiency is a “win-win” situation. Therefore, it is of great theoretical and practical importance to evaluate the safety and economic coordination of coal and gas co-mining systems. This study used a system dynamics approach to analyze and evaluate the coordination of coal and gas co-mining systems in a dynamic simulation. A case study was conducted using the Zhuxianzhuang coal mine as an example. The results showed that the coordination degree of the coal and gas co-mining system exhibited dynamic changes. The average value of the system coordination degree is 0.790, which is a good coordination degree. This demonstrates that the system dynamics method is feasible for evaluating the coordination degree of the coal and gas co-mining system. The system dynamics evaluation model can effectively simulate the dynamic changes of different variable factors in the co-mining system. Therefore, these research results can provide corresponding optimization recommendations for practical production needs.

Suggested Citation

  • Shuheng Zhong & Dan Lin, 2022. "Evaluation of the Coordination Degree of Coal and Gas Co-Mining System Based on System Dynamics," Sustainability, MDPI, vol. 14(24), pages 1-14, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16434-:d:997557
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    References listed on IDEAS

    as
    1. Fangtian Wang & Cun Zhang & Ningning Liang, 2017. "Gas Permeability Evolution Mechanism and Comprehensive Gas Drainage Technology for Thin Coal Seam Mining," Energies, MDPI, vol. 10(9), pages 1-18, September.
    2. Junqi Zhu & Li Yang & Xue Wang & Haotian Zheng & Mengdi Gu & Shanshan Li & Xin Fang, 2022. "Risk Assessment of Deep Coal and Gas Outbursts Based on IQPSO-SVM," IJERPH, MDPI, vol. 19(19), pages 1-22, October.
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