4.8 Article

Monitoring and evaluation of simulated underground coal gasification in an ex-situ experimental artificial coal seam system

Journal

APPLIED ENERGY
Volume 223, Issue -, Pages 82-92

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2018.04.045

Keywords

Underground coal gasification (UCG); Acoustic emission; UCG model; Gasified coal; Gasification rate

Funding

  1. Japanese Society for UCG
  2. Mikasa City
  3. JSPS KAKENHI [JP15H02332]
  4. Research Fund for the Doctoral Program of Higher Education of HPU (RFDP) [660207/018]
  5. Scientific and technological research projects of Henan Province [182102310020, 182102310889]
  6. Center of Environmental Science and Disaster Mitigation for Advanced Research of Muroran Institute of Technology
  7. Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan [21360441]
  8. Grants-in-Aid for Scientific Research [21360441, 15H02332] Funding Source: KAKEN

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In this study, to better simulate underground coal gasification (UCG), an artificial coal seam was constructed to use as a simulated underground gasifier, which comprised coal blocks excavated from the coal seam. This study reports the process and results of three independently designed experiments using coaxial-hole and linking-hole UCG models: (a) a coaxial model using a coaxial pipeline as a gasification channel, (b) a coaxial model using the coaxial pipeline combined with a bottom cross-hole, and (c) a linking-hole model using a horizontal V-shaped cross-hole. In the present work, the fracturing activities and cavity growth inside the reactor were monitored with acoustic emission (AE) technologies. During the process, the temperature profiles, gas production rate, and gas content were measured successively. The results show that AE activities monitored during UCG process are significantly affected by operational variables such as feed gas rate, feed gas content, and linking-hole types. Moreover, the amount of coal consumed during UCG process were estimated using both of the stoichiometric approach and balance computation of carbon (C) based on the product gas contents. A maximum error of less than 10% was observed in these methods, in which the gas leakage was also considered. This demonstrates that the estimated results using the proposed stoichiometric approach could be useful for evaluating energy recovery during UCG.

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