TY - JOUR
T1 - Monitoring and evaluation of simulated underground coal gasification in an ex-situ experimental artificial coal seam system
AU - Su, Fa qiang
AU - Hamanaka, Akihiro
AU - Itakura, Ken ichi
AU - Zhang, Wenyan
AU - Deguchi, Gota
AU - Sato, Kohki
AU - Takahashi, Kazuhiro
AU - Kodama, Jun ichi
N1 - Funding Information:
This work was supported by the Japanese Society for UCG, Mikasa City, JSPS KAKENHI Grant Number JP15H02332 , Research Fund for the Doctoral Program of Higher Education of HPU (RFDP) Fund Number 660207/018 , Scientific and technological research projects of Henan Province ( 182102310020&182102310889 ), Center of Environmental Science and Disaster Mitigation for Advanced Research of Muroran Institute of Technology and a Grant-in-Aid for Scientific Research (b) , 21360441 , from the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan. The authors gratefully acknowledge their support. We earnestly appreciate the Editors’ and Reviewers’ work, and thanks a lot for their comments and suggestions.
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/8/1
Y1 - 2018/8/1
N2 - 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.
AB - 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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U2 - 10.1016/j.apenergy.2018.04.045
DO - 10.1016/j.apenergy.2018.04.045
M3 - Article
AN - SCOPUS:85046375944
SN - 0306-2619
VL - 223
SP - 82
EP - 92
JO - Applied Energy
JF - Applied Energy
ER -