On-line First Principle Models – State Estimation

This paper describes the application of rigorous first principle process models corrected using real time online process data to match current plant response. Marrying detailed and rigorous first principle models, embodying converged heat and material balances, with real-time on-line process data, using State Estimation technology for correction, provides the ideal means of obtaining on-line real-time inferential data over the broadest range of process operation. This provides the ability to infer the value of process variables throughout the plant in a single application. This can be used for: