DATA RECONCILIATION ON MULTICOMPONENT NETWORK PROCESS

A method for data reconciliation applied to steady-state chemical proc esses, with or without chemical reactions, is presented in this paper. In the first part, the use of available process information for the f ormulation of the minimization problem is discussed. An analysis of th e process units and topology leads to the use of general and automatic algorithms that point out redundant measurements, variables to be cal culated and redundancy equations. In the second part, the emphasis is laid on the numerical strategy used to estimate measurements for large multicomponent systems. An original method for the deduction of unmea sured variables is also discussed. Illustrative examples based on publ ished applications and industrial test runs allowed to evaluate the ef ficiency of the proposed approach.