An Integrated Model-Centric Framework for Joint Parameter Estimation/Data Reconciliation of Process Systems

This paper focuses on the current developments on the estimation/reconciliation modules of a novel framework for integrated decision support of process systems (IDSoPS). Built on the initial conceptual definition, a generic and versatile error-invariables (EVM) was implemented and tested for both off-line and on-line applications using a state-of-the art modeling tool. The IDSoPS has the capability to formulate all related model-based reconciliation and estimation activities by a user not familiar with the model of the process and very little knowledge of the enabling modeling (and solution) engine. To validate these developments, the effects of random and/or systematic errors on the EVM estimation/reconciliation of an integrated chemical process are discussed.