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| Virtual Sampling of Fired Coal in Power Plant and Evaluation of Uncertainty of Mean Calorific Value |
| LIU Fu-guo1,2,GUO Qin-guang3,YIN Bing-yi3,WANG Shou-en1,2 |
1. State Grid Shandong Electric Power Research Institute, Jinan, Shandong 250003, China
2. Shandong Electric Power Research Institute, Jinan, Shandong 250003, China
3. Huadian Weifang Power Generation Co. Ltd, Weifang, Shandong 261000, China |
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Abstract The calorific value of coal fired in power plant has not been continuously measured in extensive pattern. In generator set efficiency measurement, the laboratory test results of a small amount of coal sample are used to express the calorific value of all coal fired during the measurement period, which brings about greater uncertainty in measurement. The uncertainty of mean calorific value of coal samples was studied. When the calorific sample belonged to normal distribution, or the number of samples for average value was more than 30, the uncertainty of mean calorific value could be evaluated by traditional methods according to the central limit theorem. When the calorific sample was in non-normal distribution, and the number of samples for average value was less than 30, random samples of calorific value could be produced by sampling inspection with screening, thereafter, the extended uncertainty under non-normal distribution was computed by virtual samples. The practical application showed that the method presented was reasonable and could meet the needs of uncertainty analysis in efficiency measurement of generating units.
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Received: 26 August 2019
Published: 20 April 2021
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2021, Vol. 42 
