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TY - THES AU - Elixmann, David TI - Economic model-predictive control of membrane bioreactors for wastewater treatment PB - RWTH Aachen VL - Dissertation CY - Aachen M1 - RWTH-2016-00215 SN - 978-3-8440-4139-2 T2 - Berichte aus der Verfahrenstechnik SP - xvii, 171 Seiten : Illustrationen PY - 2015 N1 - Auch veröffentlicht auf dem Publikationsserver der RWTH Aachen University N1 - Dissertation, RWTH Aachen, 2015 AB - The optimization of membrane bioreactor (MBR) operation by nonlinear model-predictive control (NMPC) with activated sludge models is investigated in this work. To this end, different variants of NMPC are applied to simulation models of single-train MBR systems in order to demonstrate the technical feasibility of this concept and assess the economic impact of NMPC to full-scale systems.The application of economic NMPC to the model of a single-train MBR system under nominal conditions shows that the electricity cost of single-train MBR systems can be reduced by up to 7-10 LB - PUB:(DE-HGF)3 ; PUB:(DE-HGF)11 UR - https://publications.rwth-aachen.de/record/565926 ER -