Digital Twins for Process Industries

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorSierla, Seppo
dc.contributor.departmentDepartment of Electrical Engineering and Automationen
dc.contributor.groupauthorInformation Technologies in Industrial Automationen
dc.date.accessioned2024-06-26T08:14:27Z
dc.date.available2024-06-26T08:14:27Z
dc.date.embargoinfo:eu-repo/date/embargoEnd/2025-05-29
dc.date.issued2024
dc.descriptionPublisher Copyright: © 2024 selection and editorial matter, Zhihan Lyu; individual chapters, the contributors.
dc.description.abstractThe term process industry is used to refer to a broad range of applications involving the storage and transportation of processing of liquids or gasses. Common components found across such industries include vessels for storage and processing, pipes connecting the vessels and valves and pumps for moving materials between vessels. It is notable that the material that is being processed, e.g. oil, is of a continuous nature, so it is not possible to identify discrete items that are distinct from other items. This is the major difference between the process industry and the manufacturing industry. In manufacturing, a resource such as a robot may perform an operation such as pick-and-place on a workpiece. However, such operations do not occur in an industrial process, as there are no workpieces. Instead, the process acts on the substances being processed through control loops. Key elements of a loop are a measurement, controller, setpoint and actuator. Before discussing digital twins of industrial processes, it is necessary to discuss fundamental concepts such as process equipment, models of the physical process, instrumentation and control systems. Process industry domain terms that are important for the eventual discussion on digital twins are italicized when first used.en
dc.description.versionNon peer revieweden
dc.format.extent15
dc.format.mimetypeapplication/pdf
dc.identifier.citationSierla, S 2024, Digital Twins for Process Industries. in Handbook of Digital Twins. CRC Press, pp. 441-455. https://doi.org/10.1201/9781003425724-32en
dc.identifier.doi10.1201/9781003425724-32
dc.identifier.isbn978-1-032-54607-0
dc.identifier.isbn978-1-003-85080-9
dc.identifier.otherPURE UUID: 0a46f28f-e9b1-4885-928d-890ecd22255c
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/0a46f28f-e9b1-4885-928d-890ecd22255c
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/149043854/DT_book_chapter_Sierla_revised.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/129384
dc.identifier.urnURN:NBN:fi:aalto-202406264968
dc.language.isoenen
dc.relation.ispartofHandbook of Digital Twinsen
dc.relation.ispartofpp. 441-455en
dc.rightsopenAccessen
dc.titleDigital Twins for Process Industriesen
dc.typeA3 Kirjan tai muun kokoomateoksen osafi
dc.type.versionacceptedVersion

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