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

Abstract

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.

Additional information

Notes on contributors

Sangil Lee

Sangil Lee and Jinchun Woo are principal scientists, and Jinsang Jung is a senior scientist with the Center for Gas Analysis in Korea Research Institute of Standards and Science.

Yongmoon Choi

Yongmoon Choi is a principal scientist and Woong Kang is a senior scientist with the Center for Fluid Flow and Acoustics in Korea Research Institute of Standards and Science, Daejeon, Republic of Korea.

Jinchun Woo

Sangil Lee and Jinchun Woo are principal scientists, and Jinsang Jung is a senior scientist with the Center for Gas Analysis in Korea Research Institute of Standards and Science.

Woong Kang

Yongmoon Choi is a principal scientist and Woong Kang is a senior scientist with the Center for Fluid Flow and Acoustics in Korea Research Institute of Standards and Science, Daejeon, Republic of Korea.

Jinsang Jung

Sangil Lee and Jinchun Woo are principal scientists, and Jinsang Jung is a senior scientist with the Center for Gas Analysis in Korea Research Institute of Standards and Science.