A simplified approach for activity monitoring in complex wastewater treatment processes

Abstract

The stoichiometric relations between substrate and product are the first parameter obtained for novel processes. We propose here a method for process monitoring that uses the stoichiometry matrix and a linear least square optimisation as a simple approach for process monitoring. The new method is benchmarked versus a well-established method: the continuous-discrete extended Kalman filter (CD-EKF) and both are compared estimating biological rates of a novel technology. It is seen that, although inferior to the CD-EKF, the new method can be an alternative for process monitoring in wastewater treatment