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Open AccessArticle

Uncertainty Analysis for the CH4 Emission Factor of Thermal Power Plant by Monte Carlo Simulation

1
Climate Chang Research Center, Sejong University, Seoul 05006, Korea
2
Department of Environment & Energy, Sejong University, Seoul 05006, Korea
*
Author to whom correspondence should be addressed.
Sustainability 2018, 10(10), 3448; https://doi.org/10.3390/su10103448
Received: 29 August 2018 / Revised: 21 September 2018 / Accepted: 25 September 2018 / Published: 27 September 2018
(This article belongs to the Special Issue Circular Economy—Sustainable Energy and Waste Policies)
Thermal power plants are a large source of greenhouse gas emissions among energy industry facilities. Emission factors for methane and nitrous oxide depend on combustion technologies and operating conditions and vary significantly with individual thermal power plants. Due to this variability, use of average emission factors for these gases will introduce relatively large uncertainties. This study determined the CH4 emission factors of thermal power plants currently in operation in Korea by conducting field investigations according to fuel type and type of combustion technique. Through use of the Monte Carlo simulation, the uncertainty range for the CH4 emission factor was determined. The estimation showed, at the 95% confidence level, that the uncertainty range for CH4 emission factor from a tangential firing boiler using bituminous coal was −46.6% to +145.2%. The range for the opposed wall-firing boiler was −25.3% to +70.9%. The range for the tangential firing boiler using fuel oil was −39.0% to 93.5%, that from the opposed wall-firing boiler was −47.7% to +201.1%, and that from the internal combustion engine boiler was −38.7% to +106.1%. Finally, the uncertainty range for the CH4 emission factor from the combined cycle boiler using LNG was −90% to +326%. View Full-Text
Keywords: CH4 Emission factor; uncertainty; Monte Carlo simulation; power plant; GHG emission CH4 Emission factor; uncertainty; Monte Carlo simulation; power plant; GHG emission
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MDPI and ACS Style

Cho, C.; Kang, S.; Kim, M.; Hong, Y.; Jeon, E.-C. Uncertainty Analysis for the CH4 Emission Factor of Thermal Power Plant by Monte Carlo Simulation. Sustainability 2018, 10, 3448.

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