View in EDS HTML Full Text PDF Full Text

Assessing wind turbine blade durability longevity utilizing national renewable energy laboratory tools.

Saved in:
Bibliographic Details
Title: Assessing wind turbine blade durability longevity utilizing national renewable energy laboratory tools.
Authors: Thomas, Matt1 (AUTHOR), Boettcher, Noah1 (AUTHOR), Huish, Caden1 (AUTHOR), Shakya, Praveen1 (AUTHOR), Seibi, Abdennour C.1 (AUTHOR) Aseibi@uvu.edu, Arias, Daniel1 (AUTHOR), Shekaramiz, Mohammad1 (AUTHOR), Masoum, Mohammad A. S.1 (AUTHOR)
Source: Wind Engineering. Oct2025, Vol. 49 Issue 5, p1145-1156. 12p.
Subjects: Wind turbines, Service life, Computational aerodynamics, National Renewable Energy Laboratory (U.S.), Wind turbine efficiency, Renewable energy sources, Finite element method
Abstract: With the escalating significance of renewable energy, there exists a pressing demand for precise software and tools capable of designing and forecasting wind turbine blade service life. OpenFAST, TurbSim, and MLife are pivotal open-source wind turbine simulation tools that integrate aerodynamics, structural dynamics, wind simulation, and control systems. They enable accurate prediction of wind turbine performance. This study aims to leverage these software resources to model turbulent wind conditions using predefined basic parameters and then calculate fatigue and longevity of the wind turbine blade to determine service life. Particularly, MLife was employed for rose loading, enhancing the fidelity of the loading cycle simulation. Collaboration between the National Renewable Energy Laboratory and the research team played a crucial role in establishing a foundational baseline and implementing realistic input parameters for evaluating the ultimate load, determining damage equivalent loads (DEL), and projecting service life. In all simulations, a constant factor of safety (FOS) of 1.5 was consistently applied. Additionally, Finite Element Analysis (FEA) was employed to validate our numerical experiments, ensuring the accuracy of the obtained results by correlating simulation outcomes with real-world scenarios, further strengthening the credibility of the study. [ABSTRACT FROM AUTHOR]
Copyright of Wind Engineering is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 188178356
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Assessing wind turbine blade durability longevity utilizing national renewable energy laboratory tools.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Thomas%2C+Matt%22">Thomas, Matt</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Boettcher%2C+Noah%22">Boettcher, Noah</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huish%2C+Caden%22">Huish, Caden</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shakya%2C+Praveen%22">Shakya, Praveen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Seibi%2C+Abdennour+C%2E%22">Seibi, Abdennour C.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> Aseibi@uvu.edu</i><br /><searchLink fieldCode="AR" term="%22Arias%2C+Daniel%22">Arias, Daniel</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shekaramiz%2C+Mohammad%22">Shekaramiz, Mohammad</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Masoum%2C+Mohammad+A%2E+S%2E%22">Masoum, Mohammad A. S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Wind+Engineering%22">Wind Engineering</searchLink>. Oct2025, Vol. 49 Issue 5, p1145-1156. 12p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Wind+turbines%22">Wind turbines</searchLink><br /><searchLink fieldCode="DE" term="%22Service+life%22">Service life</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+aerodynamics%22">Computational aerodynamics</searchLink><br /><searchLink fieldCode="DE" term="%22National+Renewable+Energy+Laboratory+%28U%2ES%2E%29%22">National Renewable Energy Laboratory (U.S.)</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+turbine+efficiency%22">Wind turbine efficiency</searchLink><br /><searchLink fieldCode="DE" term="%22Renewable+energy+sources%22">Renewable energy sources</searchLink><br /><searchLink fieldCode="DE" term="%22Finite+element+method%22">Finite element method</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: With the escalating significance of renewable energy, there exists a pressing demand for precise software and tools capable of designing and forecasting wind turbine blade service life. OpenFAST, TurbSim, and MLife are pivotal open-source wind turbine simulation tools that integrate aerodynamics, structural dynamics, wind simulation, and control systems. They enable accurate prediction of wind turbine performance. This study aims to leverage these software resources to model turbulent wind conditions using predefined basic parameters and then calculate fatigue and longevity of the wind turbine blade to determine service life. Particularly, MLife was employed for rose loading, enhancing the fidelity of the loading cycle simulation. Collaboration between the National Renewable Energy Laboratory and the research team played a crucial role in establishing a foundational baseline and implementing realistic input parameters for evaluating the ultimate load, determining damage equivalent loads (DEL), and projecting service life. In all simulations, a constant factor of safety (FOS) of 1.5 was consistently applied. Additionally, Finite Element Analysis (FEA) was employed to validate our numerical experiments, ensuring the accuracy of the obtained results by correlating simulation outcomes with real-world scenarios, further strengthening the credibility of the study. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Wind Engineering is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=188178356
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1177/0309524X241269390
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 1145
    Subjects:
      – SubjectFull: Wind turbines
        Type: general
      – SubjectFull: Service life
        Type: general
      – SubjectFull: Computational aerodynamics
        Type: general
      – SubjectFull: National Renewable Energy Laboratory (U.S.)
        Type: general
      – SubjectFull: Wind turbine efficiency
        Type: general
      – SubjectFull: Renewable energy sources
        Type: general
      – SubjectFull: Finite element method
        Type: general
    Titles:
      – TitleFull: Assessing wind turbine blade durability longevity utilizing national renewable energy laboratory tools.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Thomas, Matt
      – PersonEntity:
          Name:
            NameFull: Boettcher, Noah
      – PersonEntity:
          Name:
            NameFull: Huish, Caden
      – PersonEntity:
          Name:
            NameFull: Shakya, Praveen
      – PersonEntity:
          Name:
            NameFull: Seibi, Abdennour C.
      – PersonEntity:
          Name:
            NameFull: Arias, Daniel
      – PersonEntity:
          Name:
            NameFull: Shekaramiz, Mohammad
      – PersonEntity:
          Name:
            NameFull: Masoum, Mohammad A. S.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: Oct2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 0309524X
          Numbering:
            – Type: volume
              Value: 49
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Wind Engineering
              Type: main
ResultId 1