COMPARISON OF TECHNIQUES FOR DATA RECONCILIATION OF MULTICOMPONENT PROCESSES

Data reconciliation techniques are beginning to be widely applied in m any different chemical and mineral beneficiation processes. However, a majority of the applications are for either single columns or a seque nce of separation units. Efficient techniques have been proposed to so lve data reconciliation problems of such bilinear processes. In this p aper we compare two such methods (Crowe, C. M. AIChE J. 1986, 32, 616- 623; Simpson, D. E.; Everett, M. G.; Voller, V. R. Appl. Math. Modelli ng 1988, 12, 204-212) on typical data from multicomponent industrial p rocesses. Although Simpson's method is shown to be more efficient and accurate, the need to generalize it further is pointed out.