Articles | Volume 20, issue 1
https://doi.org/10.5194/acp-20-99-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-99-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Jan 2020
Research article |
| 03 Jan 2020
| 03 Jan 2020
A methodology to constrain carbon dioxide emissions from coal-fired power plants using satellite observations of co-emitted nitrogen dioxide
Universities Space Research Association (USRA), Goddard Earth Sciences Technology and Research (GESTAR), Columbia, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Bryan N. Duncan
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Nickolay A. Krotkov
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Lok N. Lamsal
Universities Space Research Association (USRA), Goddard Earth Sciences Technology and Research (GESTAR), Columbia, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Steffen Beirle
Max-Planck-Institut für Chemie, Mainz, Germany
Debora Griffin
Air Quality Research Division, Environment and Climate Change Canada, Toronto, ON, Canada
Chris A. McLinden
Air Quality Research Division, Environment and Climate Change Canada, Toronto, ON, Canada
Daniel L. Goldberg
Energy Systems Division, Argonne National Laboratory, Lemont, IL, USA
Zifeng Lu
Energy Systems Division, Argonne National Laboratory, Lemont, IL, USA
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- A lightweight NO2-to-NOx conversion model for quantifying NOx emissions of point sources from NO2 satellite observations S. Meier et al. 10.5194/acp-24-7667-2024
- Estimating Carbon Dioxide Emissions from Power Plant Water Vapor Plumes Using Satellite Imagery and Machine Learning H. Couture et al. 10.3390/rs16071290
- Estimating anthropogenic CO2 emissions from China's Yangtze River Delta using OCO-2 observations and WRF-Chem simulations M. Sheng et al. 10.1016/j.rse.2024.114515
- Impact of COVID-19 force confinement for CO2 emission, NO2 concentration, and daily traffic congestion throughout EU nations and the United Kingdom (UK) M. Sahraei & B. Ziaei 10.1007/s13762-023-05391-w
- Characterization of Aerosol and CO2 Co-Emissions around Power Plants through Satellite-Based Synergistic Observations L. Sun et al. 10.3390/rs16091609
- Using Space‐Based CO2 and NO2 Observations to Estimate Urban CO2 Emissions E. Yang et al. 10.1029/2022JD037736
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- Improved spatial representation of a highly resolved emission inventory in China: evidence from TROPOMI measurements N. Wu et al. 10.1088/1748-9326/ac175f
- Total organic carbon measurements reveal major gaps in petrochemical emissions reporting M. He et al. 10.1126/science.adj6233
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- Retrieving CH4-emission rates from coal mine ventilation shafts using UAV-based AirCore observations and the genetic algorithm–interior point penalty function (GA-IPPF) model T. Shi et al. 10.5194/acp-22-13881-2022
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- Quantifying factory-scale CO2/CH4 emission based on mobile measurements and EMISSION-PARTITION model: cases in China T. Shi et al. 10.1088/1748-9326/acbce7
- A high-temperature mixed potential CO gas sensor for in situ combustion control Y. Wang et al. 10.1039/D0TA06320G
- Automated detection of atmospheric NO<sub>2</sub> plumes from satellite data: a tool to help infer anthropogenic combustion emissions D. Finch et al. 10.5194/amt-15-721-2022
- Investigating the impact of control strategies on the sulfur dioxide emissions of South Korean industrial facilities using an aircraft mass balance approach G. Wong et al. 10.1016/j.atmosenv.2024.120496
- Satellite-based estimates of decline and rebound in China’s CO 2 emissions during COVID-19 pandemic B. Zheng et al. 10.1126/sciadv.abd4998
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- Ozone Monitoring Instrument (OMI) Aura nitrogen dioxide standard product version 4.0 with improved surface and cloud treatments L. Lamsal et al. 10.5194/amt-14-455-2021
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Latest update: 14 Dec 2024
Short summary
We present a novel method to infer CO2 emissions from individual power plants, based on satellite observations of co-emitted NO2. We find that the CO2 emissions estimated by our satellite-based method during 2005–2017 are in reasonable agreement with the CEMS measurements for US power plants. The broader implication of our methodology is that it has the potential to provide an additional constraint on CO2 emissions from power plants in regions of the world without reliable emissions accounting.
We present a novel method to infer CO2 emissions from individual power plants, based on...
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