Real Time Simulation of Wind Turbines for HiL Testing with MoWiT

Feja, Paul; Huhn, Matthias L.

doi:10.5281/zenodo.3518727

Cited by 4 publications

(1 citation statement)

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“…This computational model was developed by Fraunhofer IWES and is primarily used for load analysis of offshore and floating [37] wind turbines, as well as for automated simulation and optimization [32]. Further, MoWiT has been in productive operation as a virtual rotor [38] for Hardware-in-Loop (HiL) applications in the Dynamic Nacelle Testing Laboratory (DyNaLab) [39] for several years now.…”

Section: Aeroelastic Simulationsmentioning

confidence: 99%

Development of a Load Model Validation Framework Applied to Synthetic Turbulent Wind Field Evaluation

Meyer,

Huhn,

Gottschall

2024

Energies

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The validation of aeroelastic load models used for load calculations on wind turbines substantially increases the confidence in the accuracy and correctness of these models. In this contribution, we introduce a framework for the validation of these models, integrating a normalized area metric as an objective, quantifiable validation metric that considers the entire statistical distribution of a model and a benchmark and additionally enables a comparison of model accuracy between sensors of different physical units. The framework is applied to test cases that evaluate varying synthetic turbulent wind fields. Two test cases with a focus on turbulence parameters and abnormal shear conditions based on comprehensive wind measurements at the Testfeld Bremerhaven are used to demonstrate the workflow with four different members using IEC-compliant and measurement-derived wind field parameters, respectively. Along with these measurements, an uncertainty model for synthetic wind fields is introduced to quantify propagated wind measurement uncertainties associated with the measured boundary conditions during a validation campaign. The framework is presented as a straightforward and concise methodology to not only find but also quantify mismatches of load models. Major mismatches are found for wind fields associated with larger uncertainties in the mean wind field due to a reduced spatial resolution of measurements.

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Section: Aeroelastic Simulationsmentioning

confidence: 99%

Development of a Load Model Validation Framework Applied to Synthetic Turbulent Wind Field Evaluation

Meyer,

Huhn,

Gottschall

2024

Energies

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Modeling, Automated Simulation, and Optimization

Leimeister¹

2022

Springer Theses

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Method for the generation of stochastic wind fields fitted to measurement data in real-time

Thomas

Szyslo

2020

J. Phys.: Conf. Ser.

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The excitation of the wind turbine by the wind represents one of the main sources of excitation for the components of the wind turbine. The resulting structural loads can be measured relatively easily. The measurement of wind excitation, however, is much more complex. Even with the latest measuring equipment, such as LiDAR, the spatially and temporally high-resolution wind measurement required for the validation of the load measurement in the time domain can only be realized with a disproportionately high financial outlay and is thus unsuitable for large-scale application in the field. The method presented here shall be able to generate a realistic spatial wind excitation by means of the measured wind information present at each wind turbine, thus enabling model and load validation in the time domain. Furthermore, the method is fast enough to calculate the wind excitation in real time, allowing for application in Hardware-in-Loop or as part of a digital twin of the wind turbine.

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Real Time Simulation of Wind Turbines for HiL Testing with MoWiT

Cited by 4 publications

References 0 publications

Development of a Load Model Validation Framework Applied to Synthetic Turbulent Wind Field Evaluation

Development of a Load Model Validation Framework Applied to Synthetic Turbulent Wind Field Evaluation

Modeling, Automated Simulation, and Optimization

Method for the generation of stochastic wind fields fitted to measurement data in real-time

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