Articles | Volume 19, issue 9
https://doi.org/10.5194/amt-19-3019-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-19-3019-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 May 2026
Research article |
| 06 May 2026
| 06 May 2026
Methane quantification of LNG gas-fired power plant in Seoul, South Korea
Jaewon Joo
Environmental Planning Institute, Seoul National University, Seoul, Republic of Korea
Climate Tech Center, Seoul National University, Seoul, Republic of Korea
Environmental Planning Institute, Seoul National University, Seoul, Republic of Korea
Department of Environmental Management, Graduate school of Environmental Studies, Seoul National University, Seoul 08826, Republic of Korea
Climate Tech Center, Seoul National University, Seoul, Republic of Korea
Hyuckjae Lee
Department of Environmental Management, Graduate school of Environmental Studies, Seoul National University, Seoul 08826, Republic of Korea
Yeonsoo Kim
Department of Environmental Management, Graduate school of Environmental Studies, Seoul National University, Seoul 08826, Republic of Korea
Jaewon Shin
Department of Environmental Management, Graduate school of Environmental Studies, Seoul National University, Seoul 08826, Republic of Korea
Donghee Kim
Department of Environmental Management, Graduate school of Environmental Studies, Seoul National University, Seoul 08826, Republic of Korea
Dong Yeong Chang
Environmental Planning Institute, Seoul National University, Seoul, Republic of Korea
Climate Tech Center, Seoul National University, Seoul, Republic of Korea
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Cited articles
Al-Kuwari, O.: The future of liquified natural gas (LNG) in the energy transition: options and implications for the LNG industry in a decarbonising world, UCL (University College London), 2023.
Alvarez, R. A., Zavala-Araiza, D., Lyon, D. R., Allen, D. T., Barkley, Z. R., Brandt, A. R., Davis, K. J., Herndon, S. C., Jacob, D. J., and Karion, A.: Assessment of methane emissions from the US oil and gas supply chain, Science, 361, 186–188, https://doi.org/10.1126/science.aar7204, 2018.
Brandt, A. R., Heath, G., Kort, E., O'Sullivan, F., Pétron, G., Jordaan, S. M., Tans, P., Wilcox, J., Gopstein, A., and Arent, D.: Methane leaks from North American natural gas systems, Science, 343, 733–735, https://doi.org/10.1126/science.1247045, 2014.
Chen, J., Dietrich, F., Maazallahi, H., Forstmaier, A., Winkler, D., Hofmann, M. E. G., Denier van der Gon, H., and Röckmann, T.: Methane emissions from the Munich Oktoberfest, Atmos. Chem. Phys., 20, 3683–3696, https://doi.org/10.5194/acp-20-3683-2020, 2020.
GIIGNL: The LNG Industry – GIIGNL Annual Report 2024, GIIGNL, Paris, 2024, https://giignl.org (last access: 10 October 2025).
Howarth, R. W.: Ideas and perspectives: is shale gas a major driver of recent increase in global atmospheric methane?, Biogeosciences, 16, 3033–3046, https://doi.org/10.5194/bg-16-3033-2019, 2019.
Howarth, R. W.: The greenhouse gas footprint of liquefied natural gas (LNG) exported from the United States, Energy Sci. Eng., 12, 4843–4859, https://doi.org/10.1002/ese3.1934, 2024.
International Gas Union (IGU): World LNG Report 2024, IGU, https://www.igu.org (last access: 10 October 2025), 2024.
IPCC: Climate Change 2021 – The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, https://doi.org/10.1017/9781009157896, 2023.
Jia, W., Jia, P., Gu, L., Ren, L., Zhang, Y., Chen, H., Wu, X., Feng, W., and Cai, J.: Quantification of methane emissions from typical natural gas stations using on-site measurement technology, Journal of Pipeline Science and Engineering, 5, https://doi.org/10.1016/j.jpse.2024.100229, 2025.
Joo, J., Jeong, S., Shin, J., and Chang, D. Y.: Missing methane emissions from urban sewer networks, Environ. Pollut., 342, 123101, https://doi.org/10.1016/j.envpol.2023.123101, 2024.
Karion, A., Sweeney, C., Pétron, G., Frost, G., Michael Hardesty, R., Kofler, J., Miller, B. R., Newberger, T., Wolter, S., and Banta, R.: Methane emissions estimate from airborne measurements over a western United States natural gas field, Geophys. Res. Lett., 40, 4393–4397, https://doi.org/10.1002/grl.50811, 2013.
Korea Gas Corporation (KOGAS): Natural gas tariff for power generation, Korea Gas Corporation, https://www.kogas.or.kr/site/koGas/1040402000000, last access: 21 January 2026 (in Korean).
Korea Midland Power Co., Ltd. (KOMIPO): Seoul Power Generation Site Division, https://www.komipo.co.kr/eng/content/198/main.do?mnCd=EN010403, last access: 27 January 2026.
Korea Power Exchange (KPX): Real-time power generation data, Korea Power Exchange, https://new.kpx.or.kr/board.es?mid=a10109020400&bid=0068, last access: 10 October 2025 (in Korean).
Korea Research Institute of Standards and Science (KRISS): CIPM MRA, Korea Research Institute of Standards and Science, https://www.kriss.re.kr/menu.es?mid=80a20105020000, last access: 23 January 2026.
Lyon, D. R., Zavala-Araiza, D., Alvarez, R. A., Harriss, R., Palacios, V., Lan, X., Talbot, R., Lavoie, T., Shepson, P., and Yacovitch, T. I.: Constructing a spatially resolved methane emission inventory for the Barnett Shale region, Environ. Sci. Technol., 49, 8147–8157, https://doi.org/10.1021/es506359c, 2015.
Maazallahi, H., Fernandez, J. M., Menoud, M., Zavala-Araiza, D., Weller, Z. D., Schwietzke, S., von Fischer, J. C., Denier van der Gon, H., and Röckmann, T.: Methane mapping, emission quantification, and attribution in two European cities: Utrecht (NL) and Hamburg (DE), Atmos. Chem. Phys., 20, 14717–14740, https://doi.org/10.5194/acp-20-14717-2020, 2020.
Maazallahi, H., Delre, A., Scheutz, C., Fredenslund, A. M., Schwietzke, S., Denier van der Gon, H., and Röckmann, T.: Intercomparison of detection and quantification methods for methane emissions from the natural gas distribution network in Hamburg, Germany, Atmos. Meas. Tech., 16, 5051–5073, https://doi.org/10.5194/amt-16-5051-2023, 2023.
Mitchell, A. L., Tkacik, D. S., Roscioli, J. R., Herndon, S. C., Yacovitch, T. I., Martinez, D. M., Vaughn, T. L., Williams, L. L., Sullivan, M. R., and Floerchinger, C.: Measurements of methane emissions from natural gas gathering facilities and processing plants: Measurement results, Environ. Sci. Technol., 49, 3219–3227, https://doi.org/10.1021/es5052809, 2015.
Plant, G., Kort, E. A., Brandt, A. R., Chen, Y., Fordice, G., Gorchov Negron, A. M., and Zavala-Araiza, D.: Inefficient and unlit natural gas flares both emit large quantities of methane, Science, 377, 1566–1571, https://doi.org/10.1126/science.abq0385, 2022.
Rutherford, J. S., Sherwin, E. D., Ravikumar, A. P., Heath, G. A., Englander, J. G., Cooley, D., Lyon, D., Omara, M., Langfitt, Q., and Brandt, A. R.: Closing the methane gap in US oil and natural gas production emissions inventories, Nat. Commun., 12, 4715, https://doi.org/10.1038/s41467-021-25017-4, 2021.
Seoul Carbon Neutrality Support Center (SCNSC): 2023 Greenhouse Gas Inventory Report of Seoul, Seoul Carbon Neutrality Support Center, https://news.seoul.go.kr/env/climate-environment/climatechange-strategy/green-inventory-report#view/451138 last access: 29 January 2026 (in Korean).
Thoma, E. and Squier, B.: OTM 33 geospatial measurement of air pollution, remote emissions quantification (gmap-req) and OTM33A geospatial measurement of air pollution-remote emissions quantification-direct assessment (GMAP-REQ-DA), US Environmental Protection Agency, Cincinnati, OH, 2014.
Turner, D.: Workbook of atmospheric dispersion estimates, US Environmental Protection Agency, Environment Health Series Air Pollution, 84, 16, 1970.
Vogel, F., Ars, S., Wunch, D., Lavoie, J., Gillespie, L., Maazallahi, H., Röckmann, T., Nęcki, J., Bartyzel, J., and Jagoda, P.: Ground-based mobile measurements to track urban methane emissions from natural gas in 12 cities across eight countries, Environ. Sci. Technol., 58, 2271–2281, https://doi.org/10.1021/acs.est.3c03160, 2024.
Weller, Z. D., Hamburg, S. P., and von Fischer, J. C.: A national estimate of methane leakage from pipeline mains in natural gas local distribution systems, Environ. Sci. Technol., 54(14), 8958–8967, https://doi.org/10.1021/acs.est.0c00437, 2020.
Williams, J. P., Omara, M., Himmelberger, A., Zavala-Araiza, D., MacKay, K., Benmergui, J., Sargent, M., Wofsy, S. C., Hamburg, S. P., and Gautam, R.: Small emission sources in aggregate disproportionately account for a large majority of total methane emissions from the US oil and gas sector, Atmos. Chem. Phys., 25, 1513–1532, https://doi.org/10.5194/acp-25-1513-2025, 2025.
Zavala-Araiza, D., Lyon, D., Alvarez, R. A., Palacios, V., Harriss, R., Lan, X., Talbot, R., and Hamburg, S. P.: Toward a functional definition of methane super-emitters: Application to natural gas production sites, Environ. Sci. Technol., 49, 8167–8174, https://doi.org/10.1021/acs.est.5b00133, 2015.
Zimmerle, D. J., Williams, L. L., Vaughn, T. L., Quinn, C., Subramanian, R., Duggan, G. P., Willson, B., Opsomer, J. D., Marchese, A. J., Martinez, H. E., and Robinson, A. L.: Methane emissions from the natural gas transmission and storage system in the United States, Environ. Sci. Technol., 49, 9374–9383, https://doi.org/10.1021/acs.est.5b01669, 2015.
Short summary
This research presents an assessment of fugitive methane emissions from a liquefied natural gas (LNG) power plant in Seoul, using a mobile greenhouse gas (GHG) measurement platform. Three key emission hotspots were identified, including continuous methane leaks and one stochastic super-emitter from the LNG power plant facilities. Our measurements revealed significant discrepancies compared to bottom-up inventories, which fail to capture these intermittent, high-emission events.
This research presents an assessment of fugitive methane emissions from a liquefied natural gas...
