work packages

Work packages in ProbWind

The deliverables of the ProbWind project are organised into six work packages lead by designated partners.

WP 1 – Project management and dissemination

Lead by AAU

The project management is handled by AAU which includes managing the deliverables on time, budget spending, and periodic reporting to EUDP. The project will have a kickoff meeting on commencement, a midterm meeting, and a final meeting. Additionally, this WP will handle workshops: 1) Four internal project workshops and 2) Two open workshops incl. participation of standardization committees, suppliers, certification companies, insurance companies and financial institutions specialized in the wind industry.


WP 2 – Framework for probabilistic design

Lead by AAU

WP2 will formulate the framework for probabilistic design and assessment of wind turbines This WP will: 1) identify general failure modes, limit state equations, and sources of uncertainties, 2) identify and categorize relevant data available for quantification of uncertainties and will develop procedures for quantifications of uncertainties identified using data, 3) determine target reliabilities for components and subcomponents, 4) will outline the procedures to be followed for probabilistic design of shelf items, site assessment of shelf items, and probabilistic site-specific design.


WP 3 – Development of load effect models

Lead by DTU

WP 3 will develop probabilistic models for load effects in structural and mechanical components incl. wind load and wave load for fatigue and extreme limit states. This includes a stochastic model for the uncertain parameters modelling the wind field and the transitional propagation of their effects through the wind turbine with aerodynamic and structural dynamic interaction uncertainties. The WP will analyses data to quantify different types of uncertainties in wind load chain to determine impact on lifetime and possibilities to reduce 

conservatism. Additionally, wave loads are modelled for offshore wind turbines. High quality data available from project partners DTU Wind and Vestas from Test Centre Østerild will be used both for wind climate parameters, e.g. probabilistic modelling of extreme turbulence conditions and for load effects from Vestas prototype turbines.


WP 4 – Development of resistance models and limit state equations

Lead by Vestas

WP 4 will develop stochastic models for failure modes related to structural and mechanical components, incl. both failure due to extreme loads during operation and stand-still, and fatigue, and incl. effect of failure of electrical components. Focus in this work package is on modelling of the resistances and on combination of resistance and load effect models in limit state equations.


WP 5 – Demonstration of probabilistic design on commercial turbine(s) 

Lead by Vestas

This WP will demonstrate probabilistic design and site assessment for site-specific design on a commercial wind turbine using the methods developed in WP2, WP3 and WP4 and showcase the benefits for future designs.


WP 6 – Recommendations for IEC TC88 Standard / Technical Specification

Lead by DTU

Based on the results from the previous WPs this WP will formulate and prepare recommendations through a pre-standard for a new IEC standard / Technical Specification for probabilistic design.

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