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Digital Twin for th...
Digital Twin for the Prediction of Extreme Loads on a Wave Energy Conversion System
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- Katsidoniotaki, Eirini (författare)
- RISE,Renewable Energy Unit, RISE—Research Institutes of Sweden, P.O. Box 857, SE-501 15 Borås, Sweden; Centre of Natural Hazards and Disaster Science (CNDS), Villavägen 16, SE-752 36 Uppsala, Sweden
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- Psarommatis, Foivos (författare)
- University of Oslo, Norway
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- Göteman, Malin, 1980- (författare)
- RISE,Renewable Energy Unit, RISE—Research Institutes of Sweden, P.O. Box 857, SE-501 15 Borås, Sweden; Centre of Natural Hazards and Disaster Science (CNDS), Villavägen 16, SE-752 36 Uppsala, Sweden
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RISE Renewable Energy Unit, RISE—Research Institutes of Sweden, PO. Box 857, SE-501 15 Borås, Sweden; Centre of Natural Hazards and Disaster Science (CNDS), Villavägen 16, SE-752 36 Uppsala, Sweden (creator_code:org_t)
- 2022-07-28
- 2022
- Engelska.
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Ingår i: Energies. - : MDPI. - 1996-1073. ; 15:15
- Relaterad länk:
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https://doi.org/10.3...
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https://uu.diva-port... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.3...
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Abstract
Ämnesord
Stäng
- Wave energy is a renewable energy source with the potential to contribute to the global electricity demand, but a remaining challenge is the survivability of the wave energy converters in harsh offshore conditions. To understand the system dynamics and improve the reliability, experimental and numerical studies are usually conducted. However, these processes are costly and time-consuming. A statistical model able to provide equivalent results is a promising approach. In this study, the digital twin of the CFD solution is developed and implemented for the prediction of the force in the mooring system of a point-absorber wave energy converter during extreme wave conditions. The results show that the digital twin can predict the mooring force with 90.36% average accuracy. Moreover, the digital twin needs only a few seconds to provide the solution, while the CFD code requires up to several days. By creating a digital analog of a wave energy converter and showing that it is able to predict the load in critical components during extreme wave conditions, this work constitutes an innovative approach in the wave energy field. © 2022 by the authors.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Naturresursteknik -- Marin teknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Environmental Engineering -- Marine Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Annan maskinteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Other Mechanical Engineering (hsv//eng)
Nyckelord
- CFD
- design
- digital twin
- extreme loads
- survivability
- wave energy
- Mooring
- Offshore oil well production
- Offshore technology
- Renewable energy resources
- Wave energy conversion
- Energy conversion systems
- Extreme waves
- Global electricity demands
- Offshore conditions
- Renewable energy source
- Wave conditions
- Wave energy converters
- Forecasting
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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