Woong Kang
Korea Research Institute of Standards and Science
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Publication
Featured researches published by Woong Kang.
Journal of The Air & Waste Management Association | 2014
Sangil Lee; Yong-Moon Choi; Jinchun Woo; Woong Kang; Jinsang Jung
Energy supply utilities release significant amounts of greenhouse gases (GHGs) into the atmosphere. It is essential to accurately estimate GHG emissions with their uncertainties, for reducing GHG emissions and mitigating climate change. GHG emissions can be calculated by an activity-based method (i.e., fuel consumption) and continuous emission measurement (CEM). In this study, GHG emissions such as CO2, CH4, and N2O are estimated for a heat generation utility, which uses bituminous coal as fuel, by applying both the activity-based method and CEM. CO2 emissions by the activity-based method are 12–19% less than that by the CEM, while N2O and CH4 emissions by the activity-based method are two orders of magnitude and 60% less than those by the CEM, respectively. Comparing GHG emissions (as CO2 equivalent) from both methods, total GHG emissions by the activity-based methods are 12–27% lower than that by the CEM, as CO2 and N2O emissions are lower than those by the CEM. Results from uncertainty estimation show that uncertainties in the GHG emissions by the activity-based methods range from 3.4% to about 20%, from 67% to 900%, and from about 70% to about 200% for CO2, N2O, and CH4, respectively, while uncertainties in the GHG emissions by the CEM range from 4% to 4.5%. For the activity-based methods, an uncertainty in the Intergovernmental Panel on Climate Change (IPCC) default net calorific value (NCV) is the major uncertainty contributor to CO2 emissions, while an uncertainty in the IPCC default emission factor is the major uncertainty contributor to CH4 and N2O emissions. For the CEM, an uncertainty in volumetric flow measurement, especially for the distribution of the volumetric flow rate in a stack, is the major uncertainty contributor to all GHG emissions, while uncertainties in concentration measurements contribute a little to uncertainties in the GHG emissions. Implications: Energy supply utilities contribute a significant portion of the global greenhouse gas (GHG) emissions. It is important to accurately estimate GHG emissions with their uncertainties for reducing GHG emissions and mitigating climate change. GHG emissions can be estimated by an activity-based method and by continuous emission measurement (CEM), yet little study has been done to calculate GHG emissions with uncertainty analysis. This study estimates GHG emissions and their uncertainties, and also identifies major uncertainty contributors for each method.
Flow Measurement and Instrumentation | 2015
Woong Kang; Nguyen Doan Trang; Saeng Hee Lee; Hae Man Choi; Jae Sig Shim; Hee Soo Jang; Yong Moon Choi
Flow Measurement and Instrumentation | 2018
Woong Kang; Saeng-Hee Lee; Seung-Jun Lee; Young-Cheol Ha; SungSoo Jung
Journal of Mechanical Science and Technology | 2014
Sejong Chun; Byung-Ro Yoon; Woong Kang; Hyu-Sang Kwon
Journal of Mechanical Science and Technology | 2014
Yong Moon Choi; Hae Man Choi; Saeng Hee Lee; Woong Kang
Optics Express | 2018
Seok Hwan Lee; Joohyun Lee; Sejong Chun; Woong Kang
Meteorological Applications | 2018
Sang-Wook Lee; Eun Uk Park; Byung Il Choi; Jong Chul Kim; Sang-Bong Woo; Woong Kang; Seongchong Park; Seung Gu Yang; Yong-Gyoo Kim
Journal of Mechanical Science and Technology | 2018
Woong Kang; Hae-Man Choi; Yong-Moon Choi
Flow Measurement and Instrumentation | 2018
Seok Hwan Lee; Woong Kang; Sejong Chun
Journal of Mechanical Science and Technology | 2017
Sejong Chun; Hae-Man Choi; Byung-Ro Yoon; Woong Kang