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dc.contributor.authorNair, Abhilash M.
dc.contributor.authorFanta, Abaynesh Belay
dc.contributor.authorHaugen, Finn
dc.contributor.authorRatnaweera, Harsha
dc.identifier.citationWater Science and Technology.nb_NO
dc.description.abstractOnline monitoring of water quality parameters can provide better control over various operations in wastewater treatment plants. However, a lack of physical online sensors, the high price of the available online water-quality analyzers, and the need for regular maintenance and calibration prevent frequent use of online monitoring. Soft-sensors are viable alternatives, with advantages in terms of price and flexibility in operation. As an example, this work presents the development, tuning, implementation, and validation of an Extended Kalman Filter (EKF) on a grey-box model to estimate the concentration of volatile fatty acids (VFA), soluble phosphates (PO4-P), ammonia nitrogen (NH4-N) and nitrate nitrogen (NO3-N) using simple and inexpensive sensors such as pH and dissolved oxygen (DO). The EKF is implemented in a sequential batch MBBR pilot scale unit used for biological phosphorus removal from municipal wastewater. The grey-box model, used for soft sensing, was constructed by fitting the kinetic data from the pilot plant to a reduced order version of ASM2d model. The EKF is successfully validated against the standard lab measurements, which confirms its ability to estimate various states during the continuous operation of the pilot plant.nb_NO
dc.publisherIWA Publishingnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.titleImplementing an extended kalmanfilter for estimatingnutrient composition in a sequential batch MBBR pilot plantnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.journalWater Science and Technologynb_NO
dc.description.localcode© 2019 The Authors This work is licensed under a Creative Commons Attribution 4.0 International License . CC-BYnb_NO
cristin.unitnameInstitutt for bygg- og miljøteknikk

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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal