A model-based framework for controlling activated sludge plants

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorNeto, Otacílio B.L.en_US
dc.contributor.authorMulas, Michelaen_US
dc.contributor.authorCorona, Francescoen_US
dc.contributor.departmentDepartment of Chemical and Metallurgical Engineeringen
dc.contributor.groupauthorProcess Control and Automationen
dc.date.accessioned2024-05-29T05:12:48Z
dc.date.available2024-05-29T05:12:48Z
dc.date.issued2024-05-15en_US
dc.descriptionPublisher Copyright: © 2024 The Authors
dc.description.abstractThis work presents a general framework for the advanced control of a common class of activated sludge plants (ASPs). Based on a dynamic model of the process and plant sensors and actuators, we design and configure a highly customisable Output Model-Predictive Controller (Output MPC) for the flexible operation of ASPs as water resource recovery facilities. The controller consists of a i) Moving-Horizon Estimator for determining the state of the process, from plant measurements, and ii) a Model-Predictive Controller for determining the optimal actions to attain high-level operational goals. The Output MPC can be configured to satisfy the technological limits of the plant equipment, as well as operational desiderata defined by plant personnel. We consider exemplary problems and show that the framework is able to control ASPs for tasks of practical relevance, ranging from wastewater treatment subject to normative limits, to the production of an effluent with varying nitrogen content, and energy recovery.en
dc.description.versionPeer revieweden
dc.format.extent16
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationNeto, O B L, Mulas, M & Corona, F 2024, ' A model-based framework for controlling activated sludge plants ', Chemical Engineering Journal, vol. 488, 150750 . https://doi.org/10.1016/j.cej.2024.150750en
dc.identifier.doi10.1016/j.cej.2024.150750en_US
dc.identifier.issn1385-8947
dc.identifier.otherPURE UUID: 3e5b5f44-1ff2-4fa3-964d-a9190d99a550en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/3e5b5f44-1ff2-4fa3-964d-a9190d99a550en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85190261743&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/146980491/CHEM_Neto_et_al_A_model-based_framework_2024_Chemical_Engineering_Journal.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/128335
dc.identifier.urnURN:NBN:fi:aalto-202405293937
dc.language.isoenen
dc.publisherElsevier Science Inc.
dc.relation.ispartofseriesChemical Engineering Journal
dc.relation.ispartofseriesVolume 488
dc.rightsopenAccessen
dc.subject.keywordActivated sludge processen_US
dc.subject.keywordModel predictive controlen_US
dc.subject.keywordMoving horizon estimationen_US
dc.subject.keywordProcess control and automationen_US
dc.subject.keywordWastewater treatment planten_US
dc.titleA model-based framework for controlling activated sludge plantsen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion

Files