TY - JOUR
TI - Soft sensing of coal quality
AU - Zhao Zheng
AU - Zeng Deliang
AU - Hu Yong
AU - Gao Shan
JN - Thermal Science
PY - 2015
VL - 19
IS - 1
SP - 231
EP - 242
PT - Article
AB - This study presents a soft sensing model of coal quality for utility boilers.  This model is based on the coal quality information obtained from exhaust  gas. The mechanism modeling method combined with data driving theory is used  in the modeling process. The procedure for solving the nonlinear equations  for coal quality applies the inner loop iteration of dry ash-free basis of S  (Sdaf) and outside loop iteration of dry ash-free basis of N (Ndaf) within a  limited range, and dry ash-free basis of C (Cdaf) is searched from the entire  range during outside loop iteration. The upper and lower limits of Ndaf are  defined according to the NOX content in the exhaust gas, thereby solving the  iterative initial value selection problem. Finally, the effectiveness of the  proposed method is verified via several simulations and comparisons, the  results show that this method is credible and effective and it can be used in  power plant for control system optimization.