Stochastic Greybox Modeling for Control of an Alternating Activated Sludge Process

Research output: Book/ReportReport – Annual report year: 2017Research

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We present a stochastic greybox model of a BioDenitro WWTP that can be used for short time horizon Model Predictive Control. The model is based on a simplified ASM1 model and takes model uncertainty in to account. It estimates unmeasured state variables in the system, e.g. the inlet concentration or the sensor measurements in case of temporary sensor faults. This improves control performance without adding additional or redundant sensors. We fitted the parameters of the model to actual plant data and demonstrate the state estimation capabilities with this data set. The model now runs online at a WWTP in Denmark
Original languageEnglish
PublisherDTU Compute
Number of pages9
Publication statusPublished - 2017
SeriesDTU Compute-Technical Report-2017
Volume08
ISSN1601-2321

    Research areas

  • WWTP, ASM1, Stochastic, Greybox, Alternating, BioDenitro

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