dc.contributor.author | Muralidharan Nair, Abhilash | |
dc.contributor.author | Gonzalez Silva, Blanca Magdalena | |
dc.contributor.author | Haugen, Finn | |
dc.contributor.author | Ratnaweera, Harsha | |
dc.contributor.author | Østerhus, Stein Wold | |
dc.date.accessioned | 2021-02-08T15:05:18Z | |
dc.date.available | 2021-02-08T15:05:18Z | |
dc.date.created | 2020-07-14T07:08:56Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Journal of Water Process Engineering. 2020, 37:101494 1-13. | en_US |
dc.identifier.issn | 2214-7144 | |
dc.identifier.uri | https://hdl.handle.net/11250/2726683 | |
dc.description.abstract | Enhanced biological phosphorus removal (EBPR) from municipal wastewater has been achieved in a multistage Moving Bed Biofilm Reactor (MBBR) configuration. The process operations can be further optimized by real-time monitoring of water quality parameters in the individual chambers of the EBPR-MBBR process. This work presents a hybrid, soft-sensor as a cost-effective monitoring option for real-time estimation of phosphates (PO43−-P) and soluble COD (sCOD) concentrations in the anaerobic chambers of a multistage EBPR-MBBR pilot plant. The soft-sensor is developed by implementing an Extended Kalman filter on a reduced-order nutrient removal model. The hybrid model is constructed by combining mechanistic elements of phosphorus release kinetics in anaerobic conditions, and a statistical model correlating PO43−-P and sCOD concentration with conductivity measurements. A systematic method for developing, calibrating a reduced-order model and tuning of the Kalman filter parameters have been discussed in this work. The drift in soft-sensor performance was studied and practical solutions were suggested for re-calibrating the model utilizing data from periodic lab measurements. The estimation results are successfully validated against standardized lab measurements to demonstrate the accuracy of the soft-sensing algorithm. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Real-time monitoring of enhanced biological phosphorus removal in a multistage EBPR-MBBR using a soft-sensor for phosphates. | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.pagenumber | 1-13 | en_US |
dc.source.volume | 37:101494 | en_US |
dc.source.journal | Journal of Water Process Engineering | en_US |
dc.identifier.doi | 10.1016/j.jwpe.2020.101494 | |
dc.identifier.cristin | 1819345 | |
dc.relation.project | Norges forskningsråd: 247612 | en_US |
dc.description.localcode | This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | en_US |
dc.source.articlenumber | 101494 | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |