Zhang Bo, Lv Bin, Duan Yuqing, Tang Liang, You Jia
{"title":"企业碳核查数据的真实性与不确定度分析","authors":"Zhang Bo, Lv Bin, Duan Yuqing, Tang Liang, You Jia","doi":"10.1109/EPCE58798.2023.00018","DOIUrl":null,"url":null,"abstract":"At present, in the process of carbon trading in China, there is an illegal phenomenon that practitioners use various means to falsify and tamper with data results, deliberately exaggerate carbon emissions reductions to obtain additional government incentives. Therefore, this paper will use the energy balance table to calculate carbon, and analyze the impact of calorific value, carbon content, carbon oxidation rate and power emission factors on the total carbon emissions by establishing equations. The results show that the changes of calorific value, carbon content and carbon oxidation rate have a significant impact on the calculation of total carbon emissions, while the impact of power emission factors is not significant. Therefore, in order to obtain accurate emission data based on the energy balance table, we must first adjust the energy balance table, and then improve the geographical and temporal boundaries of carbon emissions and the authenticity of data processing methods according to specific regional differences, carry out in-depth discussion on the uncertainty calculation method of China's carbon verification method, and analyze the comparison of Wilcoxon's sign rank test for the authenticity of data. Finally, the effectiveness and feasibility of the method described in this paper are verified by analyzing the carbon emission data of a chemical enterprise.","PeriodicalId":355442,"journal":{"name":"2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Authenticity and uncertainty analysis of enterprise carbon verification data\",\"authors\":\"Zhang Bo, Lv Bin, Duan Yuqing, Tang Liang, You Jia\",\"doi\":\"10.1109/EPCE58798.2023.00018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"At present, in the process of carbon trading in China, there is an illegal phenomenon that practitioners use various means to falsify and tamper with data results, deliberately exaggerate carbon emissions reductions to obtain additional government incentives. Therefore, this paper will use the energy balance table to calculate carbon, and analyze the impact of calorific value, carbon content, carbon oxidation rate and power emission factors on the total carbon emissions by establishing equations. The results show that the changes of calorific value, carbon content and carbon oxidation rate have a significant impact on the calculation of total carbon emissions, while the impact of power emission factors is not significant. Therefore, in order to obtain accurate emission data based on the energy balance table, we must first adjust the energy balance table, and then improve the geographical and temporal boundaries of carbon emissions and the authenticity of data processing methods according to specific regional differences, carry out in-depth discussion on the uncertainty calculation method of China's carbon verification method, and analyze the comparison of Wilcoxon's sign rank test for the authenticity of data. Finally, the effectiveness and feasibility of the method described in this paper are verified by analyzing the carbon emission data of a chemical enterprise.\",\"PeriodicalId\":355442,\"journal\":{\"name\":\"2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EPCE58798.2023.00018\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPCE58798.2023.00018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Authenticity and uncertainty analysis of enterprise carbon verification data
At present, in the process of carbon trading in China, there is an illegal phenomenon that practitioners use various means to falsify and tamper with data results, deliberately exaggerate carbon emissions reductions to obtain additional government incentives. Therefore, this paper will use the energy balance table to calculate carbon, and analyze the impact of calorific value, carbon content, carbon oxidation rate and power emission factors on the total carbon emissions by establishing equations. The results show that the changes of calorific value, carbon content and carbon oxidation rate have a significant impact on the calculation of total carbon emissions, while the impact of power emission factors is not significant. Therefore, in order to obtain accurate emission data based on the energy balance table, we must first adjust the energy balance table, and then improve the geographical and temporal boundaries of carbon emissions and the authenticity of data processing methods according to specific regional differences, carry out in-depth discussion on the uncertainty calculation method of China's carbon verification method, and analyze the comparison of Wilcoxon's sign rank test for the authenticity of data. Finally, the effectiveness and feasibility of the method described in this paper are verified by analyzing the carbon emission data of a chemical enterprise.