Prediction of CO2 Emissions Based on Multiple Linear Regression Analysis

Abstract In order to realize low-carbon development, and strive to complete the carbon emissions reduction targets of “13th Five-Year”, this paper takes the national first batch of low-carbon pilot provinces-Guangdong Province as an example, to explore the precise algorithm of carbon emissions from coal-fired power plants. In this algorithm, the calculation formula of fuel characteristic coefficient β is fitted out by the proximate analysis data of fuel, and the content of CO 2 in flue gas is calculated by using the fuel characteristic coefficient. Then the carbon emissions is calculated according to the total amount of smoke. Finally, the algorithm is verified by taking a thermal power plant in Guangzhou as an example, and compared with the IPCC algorithm and the method of coal consumption rate of power supply respectively, which verifies the accuracy of this algorithm.