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Dive into the research topics where Woong Kang is active.

Publication


Featured researches published by Woong Kang.


Journal of The Air & Waste Management Association | 2014

Estimating and comparing greenhouse gas emissions with their uncertainties using different methods: A case study for an energy supply utility

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

Experimental and numerical investigations of the factors affecting the S-type Pitot tube coefficients

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

Effect of ultrasonic noise generated by pressure control valves on ultrasonic gas flowmeters

Woong Kang; Saeng-Hee Lee; Seung-Jun Lee; Young-Cheol Ha; SungSoo Jung


Journal of Mechanical Science and Technology | 2014

Assessment of combined V/Z clamp-on ultrasonic flow metering

Sejong Chun; Byung-Ro Yoon; Woong Kang; Hyu-Sang Kwon


Journal of Mechanical Science and Technology | 2014

Characteristic test methods of the thermal mass flow controller

Yong Moon Choi; Hae Man Choi; Saeng Hee Lee; Woong Kang


Optics Express | 2018

In situ measurement of micro flow rate using near infrared absorption method

Seok Hwan Lee; Joohyun Lee; Sejong Chun; Woong Kang


Meteorological Applications | 2018

Compensation of solar radiation and ventilation effects on the temperature measurement of radiosondes using dual thermistors

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

Development of MEMS-based thermal mass flow sensors for high sensitivity and wide flow rate range

Woong Kang; Hae-Man Choi; Yong-Moon Choi


Flow Measurement and Instrumentation | 2018

Dynamic behavior analysis of drug delivery devices using a dynamic gravimetric method

Seok Hwan Lee; Woong Kang; Sejong Chun


Journal of Mechanical Science and Technology | 2017

Implementation of unscented transform to estimate the uncertainty of a liquid flow standard system

Sejong Chun; Hae-Man Choi; Byung-Ro Yoon; Woong Kang

Collaboration


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Sejong Chun

Korea Research Institute of Standards and Science

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Seok Hwan Lee

Korea Research Institute of Standards and Science

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Byung-Ro Yoon

Korea Research Institute of Standards and Science

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Hae Man Choi

Korea Research Institute of Standards and Science

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Hae-Man Choi

Korea Research Institute of Standards and Science

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Saeng Hee Lee

Korea Research Institute of Standards and Science

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Yong Moon Choi

Korea Research Institute of Standards and Science

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Yong-Moon Choi

Korea Research Institute of Standards and Science

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Byung Il Choi

Korea Research Institute of Standards and Science

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Eun Uk Park

Hanbat National University

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