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Abstract
The GCA/EPA fabric filter design model Is evaluated for its ability to predict pressure drop, penetration, and dynamics of full-scale baghouses. Model predictions are compared with data measured at the Kramer station of the Nebraska Public Power District. Two different values of specific resistance coefficient (K2) and effective residual drag (SE) are used in the modeling of the Kramer baghouse. The field-measured value of K2 combined with the laboratory-measured value of SE produces the best predictions of pressure-drop performance, but the field data exhibit fluctuations that cannot be accounted for by the model. The model overpredicts penetration just after a compartment has been cleaned; but, as the dust cake on the filter grows, the discrepancy between predicted and measured values diminishes.