CO2 emissions from power plants based on multi-source data such as satellite remote sensing
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 NOx hourly emissions.
large-scale power plantsatellite remote sensingcarbon emissionSAM mode
万方数据
