Monitoring and quantifying CO<sub>2</sub> emissions of isolated power plants from space
Abstract 2 emission estimates based on satellite observations are of great importance for independently verifying the accuracy of reported emissions and emission inventories. Difficulties in verifying these satellite-derived emissions arise from the fact that emission inventories often provide annual mean emissions, while estimates from satellites are available only for a limited number of overpasses. Previous studies have derived CO2 emissions for power plants from the Orbiting Carbon Observatory-2 and 3 (OCO-2 and OCO-3) satellite observations of their exhaust plumes, but the accuracy and the factors affecting these emissions are uncertain. Here we advance monitoring and quantifying point source carbon emissions by focusing on how to improve the accuracy of carbon emission using different wind data estimates. We have selected only isolated power plants for this study, to avoid complications linked to multiple sources in close proximity. We first compared the Gaussian plume model and cross-sectional flux methods for estimating CO 2 R 2 = 0.12). The correlation improves with averaging over multiple observations of the 22 power plants (R 2 = 0.40). The method was subsequently applied to 106 power plant cases worldwide and yielded a total emission of 1522 ± 2 yr- 1, estimated to be about 17 % of the power sector emissions of our selected countries. The improved correlation highlights the potential for future planned satellite missions with a greatly improved coverage to monitor a significant fraction of global power plant emissions.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Monitoring and quantifying CO2 emissions of isolated power plants from space ; volume:23 ; number:11 ; year:2023 ; pages:6599-6611 ; extent:13
Atmospheric chemistry and physics ; 23, Heft 11 (2023), 6599-6611 (gesamt 13)
- Creator
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Lin, Xiaojuan
van der A, Ronald
de Laat, Jos
Eskes, Henk
Chevallier, Frédéric
Ciais, Philippe
Deng, Zhu
Geng, Yuanhao
Song, Xuanren
Ni, Xiliang
Huo, Da
Dou, Xinyu
Liu, Zhu
- DOI
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10.5194/acp-23-6599-2023
- URN
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urn:nbn:de:101:1-2023062204464354972072
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:53 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Lin, Xiaojuan
- van der A, Ronald
- de Laat, Jos
- Eskes, Henk
- Chevallier, Frédéric
- Ciais, Philippe
- Deng, Zhu
- Geng, Yuanhao
- Song, Xuanren
- Ni, Xiliang
- Huo, Da
- Dou, Xinyu
- Liu, Zhu
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From CO<sub>2</sub> emissions to atmospheric NO<sub>2</sub> mixing ratios: simulating chemical processes and their impacts on TROPOMI retrievals over the Middle East
Sensitivity to the sources of uncertainties in the modeling of atmospheric CO<sub>2</sub> concentration within and in the vicinity of Paris
Quantifying land carbon cycle feedbacks under negative CO<sub>2</sub> emissions
Monitoring and quantifying CO<sub>2</sub> emissions of isolated power plants from space
Quantifying NO<sub>x</sub> emissions in Egypt using TROPOMI observations
Complementing XCO<sub>2</sub> imagery with ground-based CO<sub>2</sub> and <sup>14</sup>CO<sub>2</sub> measurements to monitor CO<sub>2</sub> emissions from fossil fuels on a regional to local scale
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From CO<sub>2</sub> emissions to atmospheric NO<sub>2</sub> mixing ratios: simulating chemical processes and their impacts on TROPOMI retrievals over the Middle East
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