Resumé

In this paper a novel Data-Driven Design and Operation approach is introduced for an offshore wind energy application to account for site-specific conditions. Data from operational state of a turbine, e.g. accelerations, strain gauges, and SCADA, are intended to be used in the True Digital Twin concept to improve initial design assumptions. A calibrated numerical model combined with measured loading and response models allows to update the structural reliability and thus quantify the potential inherent conservatism. Given this additional knowledge the lifetime extension of existing structures can be assessed while for future structures their design procedures can be optimized according to a chosen cost function. The conceptual framework for including new information from measurements based on the Bayesian updating is presented in the paper. It is demonstrated how the initially assumed generic uncertainties regarding numerical models and environmental conditions can be consistently updated based on the site-specific data and hence lead to a more reliable design and operation of a structure. New information derived from data is accounted for based on the pre-posterior decision procedures supplemented with robust decision rules.
OriginalsprogEngelsk
TitelThe Proceedings of The Twenty-ninth (2019) International Offshore and Polar Engineering Conference
RedaktørerJin S. Chung, Odd M. Akselsen, HyunWoo Jin, Hiroyasu Kawai, Yongwon Lee, Dmitri Matskevitch, Suak Ho Van, Decheng Wan, Alan M. Wang, Satoru Yamaguchi
Vol/bind1
ForlagInternational Society of Offshore & Polar Engineers
Publikationsdato2019
Sider491-498
ISBN (Elektronisk)978-1-880653-85-2
StatusUdgivet - 2019
BegivenhedThe International Society of Offshore and Polar Engineers 2019 - Honolulu, Hawaii, USA
Varighed: 16 jun. 201919 jun. 2019
Konferencens nummer: 29

Konference

KonferenceThe International Society of Offshore and Polar Engineers 2019
Nummer29
LandUSA
ByHonolulu, Hawaii
Periode16/06/201919/06/2019
NavnProceedings of the International Offshore and Polar Engineering Conference
Nummer2019
Vol/bind29
ISSN1098-6189

Fingerprint

Numerical models
Strain gages
Cost functions
Wind power
Turbines
Uncertainty

Emneord

  • True digital twin
  • Data-driven
  • Reliability
  • Bayesian updating
  • Risk-based
  • Offshore wind
  • Uncertainty

Citer dette

Augustyn, D. J., Tygesen, U. T., Ulriksen, M. D., & Sørensen, J. D. (2019). Data-Driven Design and Operation of Offshore Wind Structures. I J. S. Chung, O. M. Akselsen, H. Jin, H. Kawai, Y. Lee, D. Matskevitch, S. H. Van, D. Wan, A. M. Wang, ... S. Yamaguchi (red.), The Proceedings of The Twenty-ninth (2019) International Offshore and Polar Engineering Conference (Bind 1, s. 491-498). International Society of Offshore & Polar Engineers. Proceedings of the International Offshore and Polar Engineering Conference, Nr. 2019, Bind. 29
Augustyn, Dawid Jakub ; Tygesen, Ulf T. ; Ulriksen, Martin Dalgaard ; Sørensen, John Dalsgaard. / Data-Driven Design and Operation of Offshore Wind Structures. The Proceedings of The Twenty-ninth (2019) International Offshore and Polar Engineering Conference. red. / Jin S. Chung ; Odd M. Akselsen ; HyunWoo Jin ; Hiroyasu Kawai ; Yongwon Lee ; Dmitri Matskevitch ; Suak Ho Van ; Decheng Wan ; Alan M. Wang ; Satoru Yamaguchi. Bind 1 International Society of Offshore & Polar Engineers, 2019. s. 491-498 (Proceedings of the International Offshore and Polar Engineering Conference; Nr. 2019, Bind 29).
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title = "Data-Driven Design and Operation of Offshore Wind Structures",
abstract = "In this paper a novel Data-Driven Design and Operation approach is introduced for an offshore wind energy application to account for site-specific conditions. Data from operational state of a turbine, e.g. accelerations, strain gauges, and SCADA, are intended to be used in the True Digital Twin concept to improve initial design assumptions. A calibrated numerical model combined with measured loading and response models allows to update the structural reliability and thus quantify the potential inherent conservatism. Given this additional knowledge the lifetime extension of existing structures can be assessed while for future structures their design procedures can be optimized according to a chosen cost function. The conceptual framework for including new information from measurements based on the Bayesian updating is presented in the paper. It is demonstrated how the initially assumed generic uncertainties regarding numerical models and environmental conditions can be consistently updated based on the site-specific data and hence lead to a more reliable design and operation of a structure. New information derived from data is accounted for based on the pre-posterior decision procedures supplemented with robust decision rules.",
keywords = "True digital twin, Data-driven, Reliability, Bayesian updating, Risk-based, Offshore wind, Uncertainty, True digital twin, Data-driven, Reliability, Bayesian updating, Risk-based, Offshore wind, Uncertainty",
author = "Augustyn, {Dawid Jakub} and Tygesen, {Ulf T.} and Ulriksen, {Martin Dalgaard} and S{\o}rensen, {John Dalsgaard}",
year = "2019",
language = "English",
volume = "1",
series = "Proceedings of the International Offshore and Polar Engineering Conference",
publisher = "International Society of Offshore & Polar Engineers",
number = "2019",
pages = "491--498",
editor = "Chung, {Jin S.} and Akselsen, {Odd M.} and HyunWoo Jin and Hiroyasu Kawai and Yongwon Lee and Dmitri Matskevitch and Van, {Suak Ho} and Decheng Wan and Wang, {Alan M.} and Satoru Yamaguchi",
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Augustyn, DJ, Tygesen, UT, Ulriksen, MD & Sørensen, JD 2019, Data-Driven Design and Operation of Offshore Wind Structures. i JS Chung, OM Akselsen, H Jin, H Kawai, Y Lee, D Matskevitch, SH Van, D Wan, AM Wang & S Yamaguchi (red), The Proceedings of The Twenty-ninth (2019) International Offshore and Polar Engineering Conference. bind 1, International Society of Offshore & Polar Engineers, Proceedings of the International Offshore and Polar Engineering Conference, nr. 2019, bind 29, s. 491-498, Honolulu, Hawaii, USA, 16/06/2019.

Data-Driven Design and Operation of Offshore Wind Structures. / Augustyn, Dawid Jakub; Tygesen, Ulf T.; Ulriksen, Martin Dalgaard; Sørensen, John Dalsgaard.

The Proceedings of The Twenty-ninth (2019) International Offshore and Polar Engineering Conference. red. / Jin S. Chung; Odd M. Akselsen; HyunWoo Jin; Hiroyasu Kawai; Yongwon Lee; Dmitri Matskevitch; Suak Ho Van; Decheng Wan; Alan M. Wang; Satoru Yamaguchi. Bind 1 International Society of Offshore & Polar Engineers, 2019. s. 491-498 (Proceedings of the International Offshore and Polar Engineering Conference; Nr. 2019, Bind 29).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

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AU - Augustyn, Dawid Jakub

AU - Tygesen, Ulf T.

AU - Ulriksen, Martin Dalgaard

AU - Sørensen, John Dalsgaard

PY - 2019

Y1 - 2019

N2 - In this paper a novel Data-Driven Design and Operation approach is introduced for an offshore wind energy application to account for site-specific conditions. Data from operational state of a turbine, e.g. accelerations, strain gauges, and SCADA, are intended to be used in the True Digital Twin concept to improve initial design assumptions. A calibrated numerical model combined with measured loading and response models allows to update the structural reliability and thus quantify the potential inherent conservatism. Given this additional knowledge the lifetime extension of existing structures can be assessed while for future structures their design procedures can be optimized according to a chosen cost function. The conceptual framework for including new information from measurements based on the Bayesian updating is presented in the paper. It is demonstrated how the initially assumed generic uncertainties regarding numerical models and environmental conditions can be consistently updated based on the site-specific data and hence lead to a more reliable design and operation of a structure. New information derived from data is accounted for based on the pre-posterior decision procedures supplemented with robust decision rules.

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KW - Data-driven

KW - Reliability

KW - Bayesian updating

KW - Risk-based

KW - Offshore wind

KW - Uncertainty

KW - True digital twin

KW - Data-driven

KW - Reliability

KW - Bayesian updating

KW - Risk-based

KW - Offshore wind

KW - Uncertainty

UR - http://www.isope.org/index.php/proceedings-isope/

M3 - Article in proceeding

VL - 1

T3 - Proceedings of the International Offshore and Polar Engineering Conference

SP - 491

EP - 498

BT - The Proceedings of The Twenty-ninth (2019) International Offshore and Polar Engineering Conference

A2 - Chung, Jin S.

A2 - Akselsen, Odd M.

A2 - Jin, HyunWoo

A2 - Kawai, Hiroyasu

A2 - Lee, Yongwon

A2 - Matskevitch, Dmitri

A2 - Van, Suak Ho

A2 - Wan, Decheng

A2 - Wang, Alan M.

A2 - Yamaguchi, Satoru

PB - International Society of Offshore & Polar Engineers

ER -

Augustyn DJ, Tygesen UT, Ulriksen MD, Sørensen JD. Data-Driven Design and Operation of Offshore Wind Structures. I Chung JS, Akselsen OM, Jin H, Kawai H, Lee Y, Matskevitch D, Van SH, Wan D, Wang AM, Yamaguchi S, red., The Proceedings of The Twenty-ninth (2019) International Offshore and Polar Engineering Conference. Bind 1. International Society of Offshore & Polar Engineers. 2019. s. 491-498. (Proceedings of the International Offshore and Polar Engineering Conference; Nr. 2019, Bind 29).