Remote sensing inversion of CO2 emissions from super-large coal-fired power plants in China based on OCO-2/3 satellite

GUO Wenyue; SHI Yusheng

doi:10.7523/j.ucas.2023.050

Journal of University of Chinese Academy of Sciences >

2024 , Vol. 41 >Issue 4: 490 - 502

DOI: https://doi.org/10.7523/j.ucas.2023.050

Research Articles

Remote sensing inversion of CO₂ emissions from super-large coal-fired power plants in China based on OCO-2/3 satellite

GUO Wenyue ,
SHI Yusheng

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1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2022-12-06

Revised date: 2023-05-08

Online published: 2023-05-08

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Abstract

Coal-fired power plants are important contributors to CO₂ emissions in China. Due to the low timeliness of statistical data and inaccurate emission factors, the existing emission inventories gradually fail to reflect the CO₂ emissions of power plants. This study provides a method to estimate CO₂ emissions from power plants based on Orbiting Carbon Observatory 2/3 (OCO-2/3) satellite data and Gaussian plume model, retrieving the images of super-large coal-fired power plants (≥5 000 MW) in China from the OCO-2 (September 6,2014-October 1, 2021) and OCO-3 (August 6, 2019-October 1, 2021) dataset, and identifying a total of seven plumes near Tuoketuo, Waigaoqiao, and Jiaxing power plants. Using a combination of three atmospheric background value determination methods, the CO₂ emissions estimated by the Gaussian plume model range from 43 to 77 kt/d, with correlation coefficients ranging from 0.50 to 0.87. The uncertainties of individual plumes varied from 8% to 32% (1σ), with wind speed being the largest uncertainty (6%-31%), followed by background values (5%-18%), enhanced values (1%-21%), and plume rise (1%-8%). The estimates are verified to be in high agreement with Carbon Monitoring for Action, Carbon Brief, and the Global Power Emissions Database (Tuoketuo: (76.48±15.75), Waigaoqiao: (55.98±6.90), Jiaxing: (64.55±15.89) kt/d). This study helps monitor and estimate important point source carbon emissions, which is not only a prerequisite for the power industry to carry out carbon reduction efforts but also helps develop specific regional carbon reduction policies, thereby reducing anthropogenic carbon emissions.

Key words： carbon dioxide; Gaussian plume model; Orbiting Carbon Observatory 2; Orbiting Carbon Observatory 3; super-large coal-fired power plant

Cite this article

GUO Wenyue , SHI Yusheng . Remote sensing inversion of CO₂ emissions from super-large coal-fired power plants in China based on OCO-2/3 satellite[J]. Journal of University of Chinese Academy of Sciences, 2024 , 41(4) : 490 -502 . DOI: 10.7523/j.ucas.2023.050

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