Data validation for real time optimisation cycle

Abstract

As a prerequisite for RTO implementation, data collected from a process plant must be treated by three important data validation stages, i.e., steady state detection, data reconciliation and gross error detection to eliminate errors and inconsistencies. This paper discusses the development of the data validation stage for real time optimization in a fatty acid fractionation process. To evaluate the proposed data validation system, single and multiple gross errors in the form of leakages in process stream were imposed to the process. The results proved the capability of the proposed tool in identifying and rectifying all the gross errors introduced to the process.