Optimal measurement system design for chemical processes

A procedure for the optimal determination of measured variables in chemical processes is presented. This procedure is based on quantifying the trade‐off between the process information that can be obtained and the total cost of the sensors making up the measurement system. The resulting trade‐off is specified as a Pareto optimization problem. The optimal measurement systems that should be considered for installation are determined from the set of solutions to this Pareto optimization problem. The approach is demonstrated using a CSTR process example.