Background

Modern, large wind turbines feature long slender blades that can experience significant vibration in standstill conditions, leading to damage and failure in some cases. Causes can include both stall-induced and vortex-induced vibration (SIV and VIV). SIV can be predicted during design, although accuracy in deep stall remains a challenge. VIV is more difficult to predict, requiring high fidelity modelling, and is often considered through simplified design assumptions.

 

This JIP aims to improve understanding of standstill blade vibration, reduce design uncertainty, and support the development of effective operational and mitigation strategies.

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Intended objectives

Gather data for model verification and validation

  • Analyse participant data to understand the root causes of unexpected blade vibration in standstill conditions.
  • Include high fidelity simulation of failure cases to improve understanding of VIV onset and escalation and provide model verification data.

Review and improve the state of the art

  • Improve the prediction of stall induced vibration in industry-standard aeroelastic modelling tools.
  • Explore engineering models for predicting VIV.
  • Verify and validate models against high fidelity data and measurements.

Design and operational guidance

  • Provide guidelines for designing wind turbine systems for standstill conditions which minimise risk under uncertainty.
  • Consider approaches to mitigating the risks of SIV and VIV using operational strategies.

Participants are encouraged to contribute (anonymised) measurements and operational data from vibration events to support model validation and industry-wide learning.

 

Expected benefits

Case studies derived from participant data will support the development of improved prediction methods, validated design approaches, and practical guidance for managing standstill blade vibration. The results will help reduce uncertainty, improve reliability, and lower the risk of blade damage or failure during idling and standstill conditions.

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Expected deliverables

Evidence and improved understanding

  • Root cause analysis of JIP partner data which captures standstill vibration.
  • Publication of anonymised measurement datasets and simulation results describing standstill vibration events, their causes, and consequences, to support future model development and industry guidance.

Improvements to prediction

  • An improved engineering model for stall induced vibration, published for implementation in the aeroelastic simulation tools used in the industry.
  • Identification and mapping of VIV risk regions based on participant data and simulation studies.

Certification guidelines for design and mitigation

  • Preliminary guidance describing how stall-induced and vortex-induced vibration should be assessed, mitigated, and incorporated into the wind turbine design process.

 

Participation is invited from manufacturers, designers, developers, operators, research institutions, and other industry partners.