High Fidelity 2-Way Dynamic Fluid-Structure-Interaction (FSI) Simulation of Wind Turbines Based on Arbitrary Hybrid Turbulence Model (AHTM)

This work presents a high-fidelity two-way coupled Fluid-Structure Interaction (FSI) simulation framework for wind turbine blades, developed using the Arbitrary Hybrid Turbulence Modelling (AHTM) implemented through Very Large Eddy Simulation (VLES) in the DAFoam solver. By integrating VLES with the Toolkit for the Analysis of Composite Structures (TACS) structural solver via the OpenMDAO/MPhys framework, this work aims to accurately model the complex aeroelastic characteristics of wind turbines, specifically focusing on the NREL Phase VI wind turbine. The numerical model accounts for the effects of transient, turbulent, and unsteady aerodynamic loading, incorporating the impact of structural deflections. A comparison of the calculated results with experimental data demonstrates strong agreement in key performance metrics, including blade tip displacements, power output, and pressure distribution. This alignment confirms that the proposed model is effective at predicting wind turbine performance. One of the significant advantages of this study is the integration of advanced turbulence modeling with shell element structural analysis, enhancing the design and performance predictions of modern wind turbines. Although computationally intensive, this approach marks a significant advancement in accurately simulating the aeroelastic response of turbines, paving the way for optimized and more efficient wind energy systems.

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Publication Details

Journal
Energies
Published
2025-08-18
DOI
https://doi.org/10.3390/en18164401
Citations
1
Primary Topic
Wind and Air Flow Studies
Type
article
Field-Weighted Citation Impact
0.80

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article

High Fidelity 2-Way Dynamic Fluid-Structure-Interaction (FSI) Simulation of Wind Turbines Based on Arbitrary Hybrid Turbulence Model (AHTM)

Aigerim Baidullayeva, E. Y. K. Ng, Sagidolla Batay, Dongming Wei et al.
1 citations
Energies
Wind and Air Flow Studies
0.80
article

High Fidelity 2-Way Dynamic Fluid-Structure-Interaction (FSI) Simulation of Wind Turbines Based on Arbitrary Hybrid Turbulence Model (AHTM)

Aigerim Baidullayeva, E. Y. K. Ng, Sagidolla Batay, Dongming Wei, Yong Zhao, Erkhan Sarsenov
article en
1 citations

Abstract

This work presents a high-fidelity two-way coupled Fluid-Structure Interaction (FSI) simulation framework for wind turbine blades, developed using the Arbitrary Hybrid Turbulence Modelling (AHTM) implemented through Very Large Eddy Simulation (VLES) in the DAFoam solver. By integrating VLES with the Toolkit for the Analysis of Composite Structures (TACS) structural solver via the OpenMDAO/MPhys framework, this work aims to accurately model the complex aeroelastic characteristics of wind turbines, specifically focusing on the NREL Phase VI wind turbine. The numerical model accounts for the effects of transient, turbulent, and unsteady aerodynamic loading, incorporating the impact of structural deflections. A comparison of the calculated results with experimental data demonstrates strong agreement in key performance metrics, including blade tip displacements, power output, and pressure distribution. This alignment confirms that the proposed model is effective at predicting wind turbine performance. One of the significant advantages of this study is the integration of advanced turbulence modeling with shell element structural analysis, enhancing the design and performance predictions of modern wind turbines. Although computationally intensive, this approach marks a significant advancement in accurately simulating the aeroelastic response of turbines, paving the way for optimized and more efficient wind energy systems.

EnergiesVol. 18(16)
Nanyang Technological University (SG), Nazarbayev University (KZ)
Nazarbayev University
Openalex Percentile: Top 26%
Wind and Air Flow Studies
0.80
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High Fidelity 2-Way Dynamic Fluid-Structure-Interaction (FSI) Simulation of Wind Turbines Based on Arbitrary Hybrid Turbulence Model (AHTM) — Aigerim Baidullayeva, E. Y. K. Ng, et al. · Energies (2025) | TGRS Research Map | TGRS