SOFT SENSING OF COAL QUALITY.

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. Themechanism modeling method combined with data driving theory is used in themodeling process. The procedure for solving the non-linear 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 loopiteration. The upper and lower limits of Ndaf are defined according to the NOX content in the exhaust gas, thereby solving the iterative initial value selectionproblem. Finally, the effectiveness of the proposed method is verified via severalsimulations and comparisons, the results show that this method is credible andeffective and it can be used in power plant for control system optimization. [ABSTRACT FROM AUTHOR]