| Clean combustion technology is a necessary requirement for energy efficient, lowpollution and comprehensive utilization, achieving sustainable development. CirculatingFluidized Bed Boiler as a clean coal technology, with Outstanding advantage andwidespread attention by people. Under the situation that our country present stage stillregard coal as the main primary energy, the circulating fluidized bed boiler become one ofthe China’s the key technologys of developing clean coal combustion technology for thereason of low NOx and SO2emission level and the unique advantages of burning inferiorcoal in high efficiency coal.In order to acquire steady combustion flame which is the basic guarantee for the boilernormal operation, credible and effective combustion detection technologies are obbligato.Theresearch of this paper based on a set of system named ZHC-D online combustion detection ina480t/h CFB boiler.With this system，we can get the realtime emissivity and temperatureof the combustion flame. The results of the system reflects combustion situation inside of theboiler in time.Based on the aggregate analysis of a number of historical DCS data of a CFB boiler，we get the prior property of the radiant energy and the matchup between the radiant energyand the correlation parameter. Based on the research findings of previous studies about heattransfer in CFB boilers，a cluster renewal heat transfer of CFB boiler was established andvalidated.At the same time，combined with the image processing technology, we establishedan prediction model of CFB boiler heat absorption rate with linear extractionof the DCSdata. In this model,we used the bed temperature and the flame emissivity to predict the boilerheat absorption could be detected. The validate result prove that, the predicted heat absorptionrate was prior to that got by unit’s parameters.We also analysised the variation trend of the prediction model parameters under different stable unit’s load and get the Physical law of thevariation trend. |
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