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| Uncertainty Assessment of Industry Plant Accounting Carbon Emissions |
| JIANG Zhong1,2,3,ZHANG Liang2,3,WANG Hai-feng2,ZHAO Jun-shuai3,ZHAO Bu-hui1,WANG Chi2,3 |
1. School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
2. National Institute of Metrology, Beijing 100029, China
3. Zhengzhou Institute of Metrology, Zhengzhou, Henan 450001, China |
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Abstract Industry plants are the main traders in China's carbon trading market.Due to the large amount of default data used in carbon verification, the credibility of emissions data is reduced, and the uncertainty of emissions data has not been evaluated.After measuring the carbon emissions of 6 enterprises in 3 industries, the uncertainty of the carbon emissions data calculated by default value, measured value and their combination are analyzed and studied by using the Monte Carlo (MC) uncertainty evaluation method.The results show that, compared with the default values, only measuring low calorific value (using oxygen bomb calorimetry) can reduce the uncertainty by 9.0%.When the industrial analysis method is used to measure the low calorific value, the emission uncertainty can be reduced by 8.3%.Measuring low calorific value (using oxygen bomb calorimetry), and the carbon content can reduce the uncertainty by 16.6%.Measuring low calorific value (using oxygen bomb calorimetry), the carbon content and carbon oxidation rate can reduce the uncertainty by 16.9%.If all parameters are measured, the uncertainty can be reduced by 17.1%.
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Received: 25 May 2020
Published: 23 March 2022
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2022, Vol. 43 
