PMID- 37539276
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230805
IS  - 2405-8440 (Print)
IS  - 2405-8440 (Electronic)
IS  - 2405-8440 (Linking)
VI  - 9
IP  - 7
DP  - 2023 Jul
TI  - An analytical investigation of critical factors to prioritize coalfields for 
      Underground Coal Gasification - Bangladesh case.
PG  - e18416
LID - 10.1016/j.heliyon.2023.e18416 [doi]
LID - e18416
AB  - In recent decades, many countries have shown a growing interest in Underground 
      Coal Gasification (UCG) as a potential clean and environmental-friendly means of 
      harnessing coal energy for power generation, and production of hydrogen, diesel 
      fuel, etc. While Bangladesh may have good UCG potential that can be utilized to 
      alleviate the country's current energy scarcity, this avenue has remained 
      completely untapped up to now. In this work, the possibility of UCG 
      implementation in five (05) indigenous discovered coalfields of the country was 
      evaluated for the first time by using the preference selection index (PSI) 
      method. This novel technique was considered to prioritize coalfields for gauging 
      UCG potential. The PSI method is chosen over numerous traditional multi-criteria 
      decision-making (MCDM) techniques, because it selects the best alternative from 
      given alternatives without deciding the relative importance between attributes. 
      The study indicated Jamalganj coalfield as the most suitable for implementing the 
      UCG technique with a 93.6% potential. The second priority is Khalaspir coalfield 
      with around 70.0% prospect and the other three coalfields - Dighipara (64.7%), 
      Barapukuria (63.5%), and Phulbari (58.3%) may have UCG suitability in decreasing 
      order of preference. The deduction is expected to assist the cogitation of 
      energy-sector researchers and facilitate the decision-making of relevant 
      authorities, policy makers, planners, and entrepreneurs.
CI  - (c) 2023 The Authors.
FAU - Biswas, Arup Kumar
AU  - Biswas AK
AD  - Hydrocarbon Unit, Energy and Mineral Resources Division, Government of 
      Bangladesh, Dhaka, 1000, Bangladesh.
AD  - Faculty of Environmental Management, Prince of Songkla University, Hat Yai, 
      Songkhla 90110, Thailand.
FAU - Islam, Md Rafiqul
AU  - Islam MR
AD  - Energy and Mineral Resources Division, Ministry of Power, Energy and Mineral 
      Resources, Government of Bangladesh, Dhaka, 1000, Bangladesh.
FAU - Habib, Md Ahosan
AU  - Habib MA
AD  - Geological Survey of Bangladesh, Energy and Mineral Resources Division, 
      Government of Bangladesh, Dhaka, 1000, Bangladesh.
LA  - eng
PT  - Journal Article
DEP - 20230718
PL  - England
TA  - Heliyon
JT  - Heliyon
JID - 101672560
PMC - PMC10393754
OTO - NOTNLM
OT  - Coalfield
OT  - MCDM
OT  - PSI method
OT  - Unconventional coal mining
OT  - Underground coal gasification
COIS- The authors declare that they have no known competing financial interests or 
      personal relationships that could have appeared to influence the work reported in 
      this paper.
EDAT- 2023/08/04 06:43
MHDA- 2023/08/04 06:44
PMCR- 2023/07/18
CRDT- 2023/08/04 04:12
PHST- 2023/04/02 00:00 [received]
PHST- 2023/07/08 00:00 [revised]
PHST- 2023/07/17 00:00 [accepted]
PHST- 2023/08/04 06:44 [medline]
PHST- 2023/08/04 06:43 [pubmed]
PHST- 2023/08/04 04:12 [entrez]
PHST- 2023/07/18 00:00 [pmc-release]
AID - S2405-8440(23)05624-4 [pii]
AID - e18416 [pii]
AID - 10.1016/j.heliyon.2023.e18416 [doi]
PST - epublish
SO  - Heliyon. 2023 Jul 18;9(7):e18416. doi: 10.1016/j.heliyon.2023.e18416. eCollection 
      2023 Jul.