Multi‐fidelity digital twin structural model for a sub‐scale downwind wind turbine rotor blade

Abstract This paper presents the development of a multi‐fidelity digital twin structural model (virtual model) of an as‐built wind turbine blade. The goal is to develop and demonstrate an approach to produce an accurate and detailed model of the as‐built blade for use in verifying the performance of...

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Autores principales:	Mayank Chetan, Shulong Yao, D. Todd Griffith
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	digital twin downwind extreme‐scale wind turbine field‐testing multi‐fidelity model Renewable energy sources TJ807-830
Acceso en línea:	https://doaj.org/article/650d7dd05df54d6b8951f56ee760ecfe
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spelling	oai:doaj.org-article:650d7dd05df54d6b8951f56ee760ecfe2021-11-26T14:02:22ZMulti‐fidelity digital twin structural model for a sub‐scale downwind wind turbine rotor blade1099-18241095-424410.1002/we.2636https://doaj.org/article/650d7dd05df54d6b8951f56ee760ecfe2021-12-01T00:00:00Zhttps://doi.org/10.1002/we.2636https://doaj.org/toc/1095-4244https://doaj.org/toc/1099-1824Abstract This paper presents the development of a multi‐fidelity digital twin structural model (virtual model) of an as‐built wind turbine blade. The goal is to develop and demonstrate an approach to produce an accurate and detailed model of the as‐built blade for use in verifying the performance of the operating two‐bladed, downwind rotor. The digital twin model development methodology, presented herein, involves a novel calibration process to integrate a wide range of information including design specifications, manufacturing information, and structural testing data (modal and static) to produce a multi‐fidelity digital twin structural model: a detailed high‐fidelity model (i.e., 3D finite element analysis [FEA]) and consistent beam‐type models for aeroelastic simulation. A key element is that the multi‐fidelity structural digital twin method follows the rotor from the stages of design, to manufacturing, then to the ground testing and field operation. The result of this comprehensive approach is an accurate multi‐fidelity digital twin structural model for the geometric, structural, and structural dynamic properties of the as‐built blade within a 1% match in mass properties, 3.2% in blade frequencies, and 6% in deflection. The different stages of processing this information within the methodology are discussed. The rotor examined is the SUMR‐Demonstrator (SUMR‐D), which was installed on the Controls Advanced Research Testbed (CART‐2) wind turbine at the National Wind Technology Center. The digital twin model developed here was utilized to design controllers to safely operate SUMR‐D in field tests, which are providing additional data for further evaluation and development of the multi‐fidelity digital twin structural model.Mayank ChetanShulong YaoD. Todd GriffithWileyarticledigital twindownwindextreme‐scale wind turbinefield‐testingmulti‐fidelity modelRenewable energy sourcesTJ807-830ENWind Energy, Vol 24, Iss 12, Pp 1368-1387 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	digital twin downwind extreme‐scale wind turbine field‐testing multi‐fidelity model Renewable energy sources TJ807-830
spellingShingle	digital twin downwind extreme‐scale wind turbine field‐testing multi‐fidelity model Renewable energy sources TJ807-830 Mayank Chetan Shulong Yao D. Todd Griffith Multi‐fidelity digital twin structural model for a sub‐scale downwind wind turbine rotor blade
description	Abstract This paper presents the development of a multi‐fidelity digital twin structural model (virtual model) of an as‐built wind turbine blade. The goal is to develop and demonstrate an approach to produce an accurate and detailed model of the as‐built blade for use in verifying the performance of the operating two‐bladed, downwind rotor. The digital twin model development methodology, presented herein, involves a novel calibration process to integrate a wide range of information including design specifications, manufacturing information, and structural testing data (modal and static) to produce a multi‐fidelity digital twin structural model: a detailed high‐fidelity model (i.e., 3D finite element analysis [FEA]) and consistent beam‐type models for aeroelastic simulation. A key element is that the multi‐fidelity structural digital twin method follows the rotor from the stages of design, to manufacturing, then to the ground testing and field operation. The result of this comprehensive approach is an accurate multi‐fidelity digital twin structural model for the geometric, structural, and structural dynamic properties of the as‐built blade within a 1% match in mass properties, 3.2% in blade frequencies, and 6% in deflection. The different stages of processing this information within the methodology are discussed. The rotor examined is the SUMR‐Demonstrator (SUMR‐D), which was installed on the Controls Advanced Research Testbed (CART‐2) wind turbine at the National Wind Technology Center. The digital twin model developed here was utilized to design controllers to safely operate SUMR‐D in field tests, which are providing additional data for further evaluation and development of the multi‐fidelity digital twin structural model.
format	article
author	Mayank Chetan Shulong Yao D. Todd Griffith
author_facet	Mayank Chetan Shulong Yao D. Todd Griffith
author_sort	Mayank Chetan
title	Multi‐fidelity digital twin structural model for a sub‐scale downwind wind turbine rotor blade
title_short	Multi‐fidelity digital twin structural model for a sub‐scale downwind wind turbine rotor blade
title_full	Multi‐fidelity digital twin structural model for a sub‐scale downwind wind turbine rotor blade
title_fullStr	Multi‐fidelity digital twin structural model for a sub‐scale downwind wind turbine rotor blade
title_full_unstemmed	Multi‐fidelity digital twin structural model for a sub‐scale downwind wind turbine rotor blade
title_sort	multi‐fidelity digital twin structural model for a sub‐scale downwind wind turbine rotor blade
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/650d7dd05df54d6b8951f56ee760ecfe
work_keys_str_mv	AT mayankchetan multifidelitydigitaltwinstructuralmodelforasubscaledownwindwindturbinerotorblade AT shulongyao multifidelitydigitaltwinstructuralmodelforasubscaledownwindwindturbinerotorblade AT dtoddgriffith multifidelitydigitaltwinstructuralmodelforasubscaledownwindwindturbinerotorblade
_version_	1718409295426486272

Multi‐fidelity digital twin structural model for a sub‐scale downwind wind turbine rotor blade

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