Cost–Benefit Analysis of Greenhouse Gas Emissions Resulting from the Management of Low-Content Methane in Post-Mining Goafs

Methane emissions from underground coal mines are a significant source of greenhouse gases (GHGs) and a major safety concern. In highly methane-prone operations, a large proportion of emissions comes from low-content abandoned mine methane (LCAMM) accumulated in post-mining goafs, where concentrations usually stay below 30% CH4. Building on the Research Fund for Coal and Steel (RFCS) REM project, this paper presents a cost–benefit analysis of a comprehensive scheme for capturing, transporting, and utilising LCAMM from post-mining goafs for electricity generation. The concept involves long-reach directional boreholes drilled behind isolation dams, a dedicated methane-reduced drainage system connected to a surface methane drainage station, and four 2 MWe gas engines designed to run on a 20–40% CH4 mixture. Greenhouse gas performance is evaluated by comparing a “business-as-usual” scenario in which post-mining methane is combusted in gas engines to produce electricity without further GHG cost–benefit consideration. The results indicate that the project can achieve a positive net present value, highlighting the role of LCAMM utilisation for methane-intensive coal mines. The paper also explores the monetisation of non-emitted methane using the European Union Emissions Trading System (EU ETS), as well as social cost benchmarks and penalty levels consistent with the emerging EU Methane Emissions Regulation (EU MER).

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Publication Details

Journal
Applied Sciences
Published
2026-01-19
DOI
https://doi.org/10.3390/app16020989
Primary Topic
Coal Properties and Utilization
Type
article
Field-Weighted Citation Impact
0.00

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article

Cost–Benefit Analysis of Greenhouse Gas Emissions Resulting from the Management of Low-Content Methane in Post-Mining Goafs

Alicja A. Krzemien, Porfirio Fernández, Gregorio Fidalgo Valverde, Francisco Javier Iglesias Rodríguez et al.
Applied Sciences
Coal Properties and Utilization
article

Cost–Benefit Analysis of Greenhouse Gas Emissions Resulting from the Management of Low-Content Methane in Post-Mining Goafs

Alicja A. Krzemien, Porfirio Fernández, Gregorio Fidalgo Valverde, Francisco Javier Iglesias Rodríguez, Artur Badylak
article en

Abstract

Methane emissions from underground coal mines are a significant source of greenhouse gases (GHGs) and a major safety concern. In highly methane-prone operations, a large proportion of emissions comes from low-content abandoned mine methane (LCAMM) accumulated in post-mining goafs, where concentrations usually stay below 30% CH4. Building on the Research Fund for Coal and Steel (RFCS) REM project, this paper presents a cost–benefit analysis of a comprehensive scheme for capturing, transporting, and utilising LCAMM from post-mining goafs for electricity generation. The concept involves long-reach directional boreholes drilled behind isolation dams, a dedicated methane-reduced drainage system connected to a surface methane drainage station, and four 2 MWe gas engines designed to run on a 20–40% CH4 mixture. Greenhouse gas performance is evaluated by comparing a “business-as-usual” scenario in which post-mining methane is combusted in gas engines to produce electricity without further GHG cost–benefit consideration. The results indicate that the project can achieve a positive net present value, highlighting the role of LCAMM utilisation for methane-intensive coal mines. The paper also explores the monetisation of non-emitted methane using the European Union Emissions Trading System (EU ETS), as well as social cost benchmarks and penalty levels consistent with the emerging EU Methane Emissions Regulation (EU MER).

Applied SciencesVol. 16(2)
Universidad de Oviedo (ES), Central Mining Institute (PL), Jastrzębska Spółka Węglowa (Poland) (PL)
Research Fund for Coal and Steel
Openalex Percentile: Top 84%
Coal Properties and Utilization
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Cost–Benefit Analysis of Greenhouse Gas Emissions Resulting from the Management of Low-Content Methane in Post-Mining Goafs — Alicja A. Krzemien, Porfirio Fernández, et al. · Applied Sciences (2026) | TGRS Research Map | TGRS