Prediction of the Absolute Methane Emission Rate for Longwall Caving Extraction Based on Rock Mass Modelling—A Case Study
Phu Minh Vuong Nguyen,
Andrzej Walentek,
Krystian Wierzbiński and
Marian Zmarzły
Additional contact information
Phu Minh Vuong Nguyen: Central Mining Institute, 1 Gwarków Sq., 40-166 Katowice, Poland
Andrzej Walentek: Central Mining Institute, 1 Gwarków Sq., 40-166 Katowice, Poland
Krystian Wierzbiński: Central Mining Institute, 1 Gwarków Sq., 40-166 Katowice, Poland
Marian Zmarzły: Jastrzębska Spółka Węglowa S.A., 4 Jana Pawła II St., 44-330 Jastrzębie-Zdrój, Poland
Energies, 2022, vol. 15, issue 14, 1-20
Abstract:
This article presents a methodology for predicting the absolute methane emission rate for longwall caving extraction based on the determination of destressing zones generated by longwall mining operations, by means of numerical modelling. This methodology was applied for the conditions of the K-2 longwall panel in the KWK Pniówek mine. The finite difference method code FLAC2D was employed as an element of the methodology to determine the destressing zones. All results including the numerical modelling results, empirical results and the measured (in situ) results were gathered in the comparative analysis. As the final results, the accuracy and reliability of the proposed methodology were evaluated.
Keywords: methane hazard; absolute methane emission rate; destressing zone; numerical modelling; empirical method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/1996-1073/15/14/4958/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/14/4958/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:14:p:4958-:d:857297
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().