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An analytical investigation of critical factors to prioritize coalfields for Underground Coal Gasification – Bangladesh case
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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393754/ https://www.ncbi.nlm.nih.gov/pubmed/37539276 http://dx.doi.org/10.1016/j.heliyon.2023.e18416 |
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author | Biswas, Arup Kumar Islam, Md. Rafiqul Habib, Md. Ahosan |
author_facet | Biswas, Arup Kumar Islam, Md. Rafiqul Habib, Md. Ahosan |
author_sort | Biswas, Arup Kumar |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10393754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-103937542023-08-03 An analytical investigation of critical factors to prioritize coalfields for Underground Coal Gasification – Bangladesh case Biswas, Arup Kumar Islam, Md. Rafiqul Habib, Md. Ahosan Heliyon Research Article 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. Elsevier 2023-07-18 /pmc/articles/PMC10393754/ /pubmed/37539276 http://dx.doi.org/10.1016/j.heliyon.2023.e18416 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Biswas, Arup Kumar Islam, Md. Rafiqul Habib, Md. Ahosan An analytical investigation of critical factors to prioritize coalfields for Underground Coal Gasification – Bangladesh case |
title | An analytical investigation of critical factors to prioritize coalfields for Underground Coal Gasification – Bangladesh case |
title_full | An analytical investigation of critical factors to prioritize coalfields for Underground Coal Gasification – Bangladesh case |
title_fullStr | An analytical investigation of critical factors to prioritize coalfields for Underground Coal Gasification – Bangladesh case |
title_full_unstemmed | An analytical investigation of critical factors to prioritize coalfields for Underground Coal Gasification – Bangladesh case |
title_short | An analytical investigation of critical factors to prioritize coalfields for Underground Coal Gasification – Bangladesh case |
title_sort | analytical investigation of critical factors to prioritize coalfields for underground coal gasification – bangladesh case |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393754/ https://www.ncbi.nlm.nih.gov/pubmed/37539276 http://dx.doi.org/10.1016/j.heliyon.2023.e18416 |
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