The effect of model simplification assumptions on the differential index of DAE process models is investigated in this paper. Efficient incremental graph-theoretical algorithms are proposed to follow the changes in the variable-equation assignments during the modelling process. Case studies are used to demonstrate the operation of the algorithms and the effect of steady-state assumptions on the differential index of a simple process model.
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