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Possible concepts for digital twin simulator for WWTP

dc.contributor.authorKomulainen, Tiina
dc.contributor.authorJohansen, Hilde
dc.date.accessioned2022-10-07T10:25:30Z
dc.date.available2022-10-07T10:25:30Z
dc.date.created2021-12-27T11:24:08Z
dc.date.issued2021-03-31
dc.identifier.issn1650-3686
dc.identifier.issn1650-3740
dc.identifier.urihttps://hdl.handle.net/11250/3024471
dc.description.abstractApplication of advanced modeling and simulation technologies is essential to meet future requirements for higher wastewater treatment capacity and increased discharge water quality without large investments in construction projects. This article describes an industrial pre-project for digital twin simulator for Veas wastewater treatment plant in Norway. The desired main functionalities of the digital twin simulator were: • Data- and model-based management as well as decision support for process operators • Predictive operational support and process optimization for engineers • Testing of process modifications, control system modifications, new procedures and other changes • Competency building and knowledge transfer between the operators and engineers Commercially available technologies were compared according to the functional design specification and four possible digital twin simulator concepts were developed for wastewater treatment facilities.en_US
dc.description.sponsorshipRFF Viken granted funding through the pre-project number 316678.en_US
dc.language.isoengen_US
dc.publisherLinköping University Electronic Pressen_US
dc.relation.ispartofseriesLinköping Electronic Conference Proceedings;No. 185
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectDynamic modelingen_US
dc.subjectSimulatorsen_US
dc.subjectDigital twinsen_US
dc.subjectWater treatmenten_US
dc.subjectWastewater treatment plantsen_US
dc.titlePossible concepts for digital twin simulator for WWTPen_US
dc.typeConference objecten_US
dc.description.versionacceptedVersionen_US
dc.rights.holder(c) 2022 Tiina Komulainen, Hilde Johansenen_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.doihttps://doi.org/10.3384/ecp21185398
dc.identifier.cristin1972166
dc.source.journalLinköping Electronic Conference Proceedingsen_US
dc.source.volume185en_US
dc.source.issue185en_US
dc.source.pagenumber398-404en_US
dc.relation.projectRegionale forskningsfond Oslofjordfondet: 316678en_US
dc.subject.nsiVDP::Kjemisk prosessteknologi: 562en_US
dc.subject.nsiVDP::Chemical process engineering: 562en_US
dc.subject.nsiVDP::Kjemisk prosessteknologi: 562en_US
dc.subject.nsiVDP::Chemical process engineering: 562en_US
dc.subject.nsiVDP::Kjemisk prosessteknologi: 562en_US
dc.subject.nsiVDP::Chemical process engineering: 562en_US


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