Towards a systematic path for dynamic simulation to plant operation: OPC UA-enabled model adaptation method for tracking simulation

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorSantillán Martínez, Gerardoen_US
dc.contributor.authorKarhela, Tommien_US
dc.contributor.authorReino, Ruusuen_US
dc.contributor.authorLackman, Tuomasen_US
dc.contributor.authorVyatkin, Valeriyen_US
dc.contributor.departmentDepartment of Electrical Engineering and Automationen
dc.contributor.groupauthorInformation Technologies in Industrial Automationen
dc.contributor.organizationVTT Technical Research Centre of Finlanden_US
dc.date.accessioned2018-12-10T10:33:17Z
dc.date.available2018-12-10T10:33:17Z
dc.date.issued2017en_US
dc.description.abstractA tracking simulator is an online simulation system that utilizes dynamic parameter estimation for calibrating model parameters to achieve state synchronization with the process. It can be utilized as a plant-wide virtual sensors or as a predictive tool to provide production forecasts based on the current state of the plant. The appearance of industrial applications based on tracking simulators has been hindered by high development cost and time-consuming sustainability of simulation models. In order to overcome this, dynamic simulation models developed during the process design and engineering stages could be used for implementing industrial tracking simulators. However, before these models can be utilized online, they require going through a model adaptation procedure where their structure and parameters are updated. This paper presents a model adaptation method for the implementation of tracking simulators which utilizes OPC Unified Architecture to adapt simulation models developed during the engineering phases of the process plant and apply them at the operation and maintenance stages. In this work, the method is described, implemented and tested using a representative process.en
dc.description.versionPeer revieweden
dc.format.extent6
dc.format.extent5503-5508
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationSantillán Martínez, G, Karhela, T, Reino, R, Lackman, T & Vyatkin, V 2017, Towards a systematic path for dynamic simulation to plant operation : OPC UA-enabled model adaptation method for tracking simulation . in Proceedings of the 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 . Proceedings of the Annual Conference of the IEEE Industrial Electronics Society, IEEE, pp. 5503-5508, Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, 29/10/2017 . https://doi.org/10.1109/IECON.2017.8216952en
dc.identifier.doi10.1109/IECON.2017.8216952en_US
dc.identifier.isbn978-1-5386-1127-2
dc.identifier.issn1553-572X
dc.identifier.otherPURE UUID: e8f34fbc-5c42-4e84-8e12-fbad50ca3ef6en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/e8f34fbc-5c42-4e84-8e12-fbad50ca3ef6en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/25674734/Martinez_etal_IECON_2017_5503.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/35326
dc.identifier.urnURN:NBN:fi:aalto-201812106341
dc.language.isoenen
dc.publisherIEEE
dc.relation.ispartofAnnual Conference of the IEEE Industrial Electronics Societyen
dc.relation.ispartofseriesProceedings of the 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017en
dc.relation.ispartofseriesProceedings of the Annual Conference of the IEEE Industrial Electronics Societyen
dc.rightsopenAccessen
dc.subject.keywordprocess simulationen_US
dc.subject.keywordmodel adaptationen_US
dc.subject.keywordonline simulationen_US
dc.subject.keywordOPC Unified Architectureen_US
dc.subject.keywordtracking simulationen_US
dc.titleTowards a systematic path for dynamic simulation to plant operation: OPC UA-enabled model adaptation method for tracking simulationen
dc.typeConference article in proceedingsfi
dc.type.versionacceptedVersion
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