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Monitoring and Control in Underground Coal Gasification: Current Research Status and Future Perspective

Author

Listed:
  • Yuteng Xiao

    (School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Jihang Yin

    (School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Yifan Hu

    (School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Junzhe Wang

    (Bell Honors School, Nanjing University of Posts and Telecommunications, Nanjing 210023, China)

  • Hongsheng Yin

    (School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Honggang Qi

    (School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing 101408, China)

Abstract

By igniting in the coal seam and injecting gas agent, underground coal gasification (UCG) causes coal to undergo thermochemical reactions in situ and, thus, to be gasified into syngas for power generation, hydrogen production, and storage. Compared with traditional mining technology, UCG has the potential sustainable advantages in energy, environment, and the economy. The paper reviewed the development of UCG projects around the world and points out that UCG faces difficulties in the field of monitoring and control in UCG. It is expounded for the current research status of monitoring and control in UCG, and clarified that monitoring and control in UCG is not perfect, remaining in the stage of exploration. To improve the problem of low coal gasification rate and gas production, and then to make full use of the potential sustainable advantages, the paper offers a perception platform of a UCG monitoring system based on the Internet-of-Things (IoT) and an optimal control model for UCG based on deep learning, and has an outlook on breakthrough directions of the key technologies related to the package structure design for moisture-proof and thermal insulation, antenna design, the strategy for energy management optimization, feature extraction and classification design for the network model, network structure design, network learning augmentation, and the control of the network model, respectively.

Suggested Citation

  • Yuteng Xiao & Jihang Yin & Yifan Hu & Junzhe Wang & Hongsheng Yin & Honggang Qi, 2019. "Monitoring and Control in Underground Coal Gasification: Current Research Status and Future Perspective," Sustainability, MDPI, vol. 11(1), pages 1-14, January.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:1:p:217-:d:194806
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    References listed on IDEAS

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    Cited by:

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    2. Yanpeng Chen & Tianduoyi Wang & Jinhua Zhang & Mengyuan Zhang & Junjie Xue & Juntai Shi & Yongshang Kang & Shengjie Li, 2022. "Simulation of Water Influx and Gasified Gas Transport during Underground Coal Gasification with Controlled Retracting Injection Point Technology," Energies, MDPI, vol. 15(11), pages 1-29, May.
    3. Krzysztof Kapusta & Marian Wiatowski & Krzysztof Stańczyk & Renato Zagorščak & Hywel Rhys Thomas, 2020. "Large-scale Experimental Investigations to Evaluate the Feasibility of Producing Methane-Rich Gas (SNG) through Underground Coal Gasification Process. Effect of Coal Rank and Gasification Pressure," Energies, MDPI, vol. 13(6), pages 1-14, March.

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