Circulating fluidized bed (CFB) is used extensively in petrochemical industries especially for fluid catalytic cracking, coal combustion or gasification and various other chemical processes. New 2-region measurement model describing the bed height in the standpipe of a cold model present at National Energy Technology Laboratory (NETL), US Department of Energy, Morgantown, WV, is formulated. On the other hand, system identification of a NETL cold flow circulating fluidized bed (CFCFB) is carried out using a nonlinear model under multiple model identification approach to predict solids circulation rate (SCR) in a wide operating range. However, the CFCFB was approximated by a linear model when it was believed to operate linearly in a single operating regime. A real time pressure drop model based on the Recursive Prediction Error Method (RPEM) is built to predict the split of move air flow between the standpipe and L-valve, and to determine routes of additional aerations fed to the standpipe. Finally, the optimal control of SCR affecting the heat and mass transfer characteristics which in turn impacts the efficiency of various chemical processes is carried out.

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