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Prediction method of unburnt carbon for coal fired utility boiler using image processing technique of combustion flame

Journal Article · · IEEE Transactions on Energy Conversion (Institute of Electrical and Electronics Engineers); (United States)
DOI:https://doi.org/10.1109/60.63133· OSTI ID:5168709
; ;  [1]; ;  [2]
  1. Hitachi, Ltd., 4026 Kuji-cho, 5-2-1 Ohmika-cho, Hitachi-shi, Ibaraki-ken 319-12 (JP)
  2. Thermal Power Engineering Dept., Tohoku Electric Power Co., Inc., 3-7-1 Ichiban-cho, Aoba-ku, Sendai-shi, Miyagi-ken 980 (JP)
This paper reports on a method predicting unburnt carbon in a coal fired utility boiler developed using an image processing technique. The method consists of an image processing unit and a furnace model unit. temperature distribution of combustion flames can be obtained through the former unit. The later calculates dynamics of the carbon reduction from the burner stages to the furnace outlet using coal feed rate, air flow rate, chemical and ash content of coal. An experimental study shows that the prediction error of the unburnt carbon can be reduced to 10%.
OSTI ID:
5168709
Journal Information:
IEEE Transactions on Energy Conversion (Institute of Electrical and Electronics Engineers); (United States), Journal Name: IEEE Transactions on Energy Conversion (Institute of Electrical and Electronics Engineers); (United States) Vol. 5:4; ISSN 0885-8969; ISSN ITCNE
Country of Publication:
United States
Language:
English