Optimal flow sensor placement on wastewater treatment plants.
Obtaining high quality data collected on wastewater treatment plants is gaining increasing attention in the wastewater engineering literature. Typical studies focus on recognition of faulty data with a given set of installed sensors on a wastewater treatment plant. Little attention is however given to how one can install sensors in such a way that fault detection and identification can be improved. In this work, we develop a method to obtain Pareto optimal sensor layouts in terms of cost, observability, and redundancy. Most importantly, the resulting method allows reducing the large set of possibilities to a minimal set of sensor layouts efficiently for any wastewater treatment plant on the basis of structural criteria only, with limited sensor information, and without prior data collection. In addition, the developed optimization scheme is fast. Practically important is that the number of sensors needed for both observability of all flows and redundancy of all flow sensors is only one more compared to the number of sensors needed for observability of all flows in the studied wastewater treatment plant configurations.
Eawag, Department Process Engineering, Überlandstrasse 133, CH-8600 Dübendorf, Switzerland. Electronic address: kris.villez@eawag.ch.
Kris
K
Villez
modelEAU, Université Laval, Pavillon Adrien-Pouliot, 1065, avenue de la Médecine, Québec, G1V 0A6 Québec, Canada.
Peter A
PA
Vanrolleghem
ICRA, Catalan Institute for Water Research, Scientific and Technological Park of the University of Girona, Emili Grahit, 101, E-17003 Girona, Spain.
Lluís
L
Corominas
D014865:Waste Disposal, Fluid; D062065:Wastewater
D062065:Wastewater
Fault detection; Mass balancing; Multi-objective optimization; Redundancy; Sensor placement; Wastewater treatment