基于卫星遥感等多源数据的发电厂CO<sub>2</sub>排放分析

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Abstract This study had estimated CO₂ emissions from the Tuoketuo Power Plant using observations from the Orbital Carbon Monitoring Satellite (OCO-3) SAM mode with segmentation, background-interpolation and Gaussian plume model. To verify the estimation results from satellite remote sensing, annual accounting report CO₂ data, monthly power generation, and continuous emission monitoring system (CEMS) data were used. The results showed that the hourly CO₂ emission rates of the four estimated results were 1900.82, 3353.96, 2941.07, and 3701.71tCO₂/h, respectively, with uncertainties of 25.10%, 20.27%, 19.59%, and 29.52%, and the uncertainty mainly came from meteorological data, background, and secondary sources. The satellite remote sensing inversion results of hourly CO₂ emission rate were very consistent with the accounting allocation value, with a correlation coefficient of 0.822. The activity data of power plants showed an obvious seasonal and hourly variations, with a relative standard deviation of 14.55% for monthly power generation and 12.35% for NO_x hourly emissions.

Key words： large-scale power plant satellite remote sensing carbon emission SAM mode

Received: 15 September 2023

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	Articles by authors
	FU Jin-Bei
	LI Meng-Nan
	XU Wei-Da
	WANG Yu-Meng
	LI Huai-Rui
	YIN Jie
	YANG Yu-Kun
	ZHUO Jun-Ling

Cite this article:

FU Jin-Bei,LI Meng-Nan,XU Wei-Da等. CO₂ emissions from power plants based on multi-source data such as satellite remote sensing[J]. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(4): 1805-1815.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2024/V44/I4/1805

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