STAGE EFFICIENCY ESTIMATION BY MODIFIED MIMT USING NLP

Unmeasured process variables or parameters caused by cost consideratio n or technical infeasibility can be mostly estimated using data reconc iliation techniques. Since, however, the gross errors possibly present in the process measurements deteriorate the data reconciliation resul ts, the reconciled estimates may be biased solutions that are differen t from the true values. In this paper, the enhanced data reconciliatio n and gross error detection method, modified MIMT using NLP, was appli ed to a flash distillation system. It calculated the reconciled values of the measurements as well as the optimal estimates of stage efficie ncies which were not measured. These techniques using NLP showed the r obustness when compared to the conventional algorithms using lineariza tion techniques.