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

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.

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Publication Details

Journal
Wind Engineering
Published
2024-09-30
DOI
https://doi.org/10.1177/0309524x241269390
Citations
1
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
1.30
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article

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

Matt Thomas, Mohammad Shekaramiz, Abdennour Seibi, Praveen Shakya et al.
1 citations
Wind Engineering
Wind Energy Research and Development
1.30
article

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

Matt Thomas, Mohammad Shekaramiz, Abdennour Seibi, Praveen Shakya, Mohammad A. S. Masoum, D. Arias, Caden Huish, Noah Boettcher
article en
1 citations

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.

Wind Engineering
Utah Valley University (US)
Openalex Percentile: Top 13%
Wind Energy Research and Development
1.30
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Assessing wind turbine blade durability longevity utilizing national renewable energy laboratory tools — Matt Thomas, Mohammad Shekaramiz, et al. · Wind Engineering (2024) | TGRS Research Map | TGRS