Evaluation of a Hardware-in-the-loop Test Setup Using Mechanical Measurements with a DFIG Wind Turbine Nacelle

Neshati, Mohsen; Zhang, Hongkun; Thomas, Philipp; Heller, Marcel; Zuga, Adam; Wenske, Jan

doi:10.1088/1742-6596/2265/2/022105

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…The real-time load simulation model MoWiT ( [14], [15]) couples physical models for aerodynamics, structural dynamics, hydrodynamics and control and computes them in the time domain. This computational model is developed by Fraunhofer IWES and primarily used for load analysis of (offshore floating) wind turbines as well as for automated simulation and optimization.…”

Section: Simulation Setup In Mowit (Bem)mentioning

confidence: 99%

Validating low- and high-fidelity simulations of a yawed 8 MW wind turbine against measurements

Höning,

Meyer,

Huhn

et al. 2024

J. Phys.: Conf. Ser.

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This paper presents a comparison study of the aerodynamic behavior of an 8 MW wind turbine operating under yawed conditions using field measurements, Blade Element Momentum (BEM) theory and Computational Fluid Dynamics (CFD). Turbulent inflow wind field measurements are used to generate an IEC-compliant turbulence box upstream of the wind turbine that is used within the BEM tool MoWiT and the CFD tool chain by IWES in OpenFOAM. Both simulation approaches take into account blade flexibility using modal reduced, anisotropic beam elements in BEM and Geometrically Exact Beam Therory (GEBT) in CFD. While the focus is being set towards the CFD approach, turbine power output, blade root bending moments and blade tip deflections are analyzed. It is shown that both modeling approaches react differently towards the generated wind field.

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Section: Simulation Setup In Mowit (Bem)mentioning

confidence: 99%

Validating low- and high-fidelity simulations of a yawed 8 MW wind turbine against measurements

Höning,

Meyer,

Huhn

et al. 2024

J. Phys.: Conf. Ser.

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show abstract

“…For torque control, a torque estimation at the DUT main shaft flange is necessary. Directly measuring the DUT flange torque can be done and has been investigated in [13]. However, the current control algorithm relies on a Kalman filter as an accurate observer for the DUT flange torque based on motor and generator speed and torque measurements.…”

Section: Test and Simulation Setupmentioning

confidence: 99%

Framework for Design Validation of Control Algorithms used on Mechanical Hardware-in-the-Loop Nacelle Test Rigs

Feindt,

Siddiqui,

Zuga

et al. 2024

J. Phys.: Conf. Ser.

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Full scale multi-MW Wind Energy Converter (WEC) nacelles including the mechanical and electrical components as well as the main and converter control systems, are tested at the Dynamic Nacelle Testing Laboratory (DyNaLab) at Fraunhofer IWES. A Hardware-in-the-Loop environment emulates the missing rotor and accurately applies torque to the nacelle via a motor and the test rig drivetrain. In a current nacelle test campaign, several structural changes have been made to reduce the necessary adaptor tolerances of the test rig interface and to include the nacelle hub. These changes can potentially impact the system’s dynamic response and controller performance. This paper presents the current research with a focus on improving the control algorithms for accurate application of the rotor torque by implementing a simulative validation framework. The objectives of this framework include addressing the impact of modifications to the test rig drivetrain, variations in the nacelle adaptor, and communication delays between real-time simulation models, the test rig, and the WEC controller prior to performing tests on the real system. The methodology shown therefore involves three steps: controller design using a simplified multi-mass torsional model of all components necessary for testing, validation with a high-fidelity virtual test bench model and testing the resulting controller performance during the commissioning phase for the actual test. Overall, this approach is expected to reduce the commissioning duration, enhance the performance of the test rig, and identify the limitations in achieving stable torque control before the application to the real wind turbine nacelle on the test rig.

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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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Evaluation of a Hardware-in-the-loop Test Setup Using Mechanical Measurements with a DFIG Wind Turbine Nacelle

Cited by 5 publications

References 12 publications

Validating low- and high-fidelity simulations of a yawed 8 MW wind turbine against measurements

Validating low- and high-fidelity simulations of a yawed 8 MW wind turbine against measurements

Framework for Design Validation of Control Algorithms used on Mechanical Hardware-in-the-Loop Nacelle Test Rigs

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

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