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The effect of modelling assumptions on the differential index of lumped process models

Authors
Identifiers
DOI: 10.1016/s1570-7946(02)80191-2
Disciplines
  • Computer Science

Abstract

Abstract 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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