Abstract:
By categorizing raw coal into anthracite, bituminous coal, lignite, and meagre coal, and updating their emission factors. Utilizing the updated emission factors to accurately calculate the CO
2 emissions for Guizhou, Xinjiang, Inner Mongolia, and Shanxi from 2013 to 2022 aims to enhance the accuracy of provincial CO
2 emission accounting. The results show that the emission factors of raw coal can significantly affect the accounting of provincial CO
2 emissions. In the accounting of raw coal emissions for the four provinces, comparing the calculations using the updated emission factors with the default coal carbon emission factor provided by the National Development and Reform Commission (NDRC), the emissions in Inner Mongolia were reduced by 25.26%; compared to the default emission factors for four types of coal provided by the NDRC, the raw coal emission volume in Shanxi increased by 33.14%; compared to the default emission factors for four types of coal provided by the Intergovernmental Panel on Climate Change (IPCC), the raw coal emission volume in Xinjiang decreased by 17.23%. Applying the updated emission factors to the annual carbon emission analysis of the four provinces, it was found that in 2022, the proportion of raw coal CO
2 emissions in the total coal emissions was the lowest in Shanxi Province, at 66.29%, while the other three provinces were all above 80%. Compared to the calculation results using the default emission factors provided by the NDRC, the total carbon emissions in Inner Mongolia in 2022 were reduced by 187.62 million tons. Additionally, in the thermal power generation industry, the CO
2 emissions from the thermal power sector in Guizhou accounted for 62.51% of the province's total raw coal emissions in 2022, while the other three provinces all exceeded 70%. The study suggests that, by fully considering the spatial differences in coal consumption across various regions of China and further updating the raw coal carbon emission factors applicable to different regions, the accuracy of carbon emission accounting for energy consumption in each province can be improved. This also provides a more detailed and scientific data foundation for the formulation and promotion of local emission reduction policies and measures.