Next Article in Journal
Application of Long Short-Term Memory Networks and SHAP Evaluation in the Solar Radiation Forecast
Previous Article in Journal
An Innovative Electric–Hydrogen Microgrid with PV as Backup Power for Substation Auxiliary Systems with Capacity Configuration
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Aeroelastic Modeling of an Airborne Wind Turbine Based on a Fluid–Structure Interaction Approach

1
Institute of Engineering Design Technology (IEDT), Kyungpook National University, Daegu 41566, Republic of Korea
2
U.S.-Pakistan Center for Advanced Studies in Energy, National University of Sciences and Technology (NUST), H-12 Sector, Islamabad 44000, Pakistan
*
Author to whom correspondence should be addressed.
Energies 2025, 18(23), 6098; https://doi.org/10.3390/en18236098
Submission received: 4 October 2025 / Revised: 12 November 2025 / Accepted: 18 November 2025 / Published: 21 November 2025
(This article belongs to the Section A3: Wind, Wave and Tidal Energy)

Abstract

The airborne wind turbine (AWT) employs a flying energy conversion to harvest the stronger winds blowing at higher altitudes. This study presents an aeroelastic evaluation of the AWT, which carries a flying rotor installed inside a buoyant shell. A considerable aerodynamic impact on the structural integrity of the full-scale system is modeled using a fluid–structure interaction (FSI) approach. Both the fluid and structure models are formulated separately and validated using a series of benchmark numerical data. To analyze the structural aeroelasticity, the aerodynamic loads from the fully resolved computational model are coupled using a one-way FSI on the structural model of the blade and shell to perform the non-linear static analysis. For a detailed investigation, various wind loads from the bare and shell rotor configurations are imposed on the flexible structure. The generated torque, aerodynamic loads, tip deflection, stress estimation and operational stability of the proposed energy system are computed. The tip deflection is 18% more in the shell rotor compared to the bare rotor at rated conditions, while an average increase of 54% more tip deflection was observed for every 4 m/s increase in wind speed. The non-linear aeroelastic characteristics in each case are found to be within the chosen design criteria, according to material, operational speed and structural limits. Most importantly, the significant power gain justifies the structural response of the blade to withstand the shell-induced loads at rated conditions in the shell configuration.
Keywords: aeroelastic modeling; airborne wind turbine; computational fluid dynamics; aerodynamic and structural performance; fluid–structure interaction; finite element method; renewable energy aeroelastic modeling; airborne wind turbine; computational fluid dynamics; aerodynamic and structural performance; fluid–structure interaction; finite element method; renewable energy

Share and Cite

MDPI and ACS Style

Ali, Q.S.; Kim, M.-H. Aeroelastic Modeling of an Airborne Wind Turbine Based on a Fluid–Structure Interaction Approach. Energies 2025, 18, 6098. https://doi.org/10.3390/en18236098

AMA Style

Ali QS, Kim M-H. Aeroelastic Modeling of an Airborne Wind Turbine Based on a Fluid–Structure Interaction Approach. Energies. 2025; 18(23):6098. https://doi.org/10.3390/en18236098

Chicago/Turabian Style

Ali, Qazi Shahzad, and Man-Hoe Kim. 2025. "Aeroelastic Modeling of an Airborne Wind Turbine Based on a Fluid–Structure Interaction Approach" Energies 18, no. 23: 6098. https://doi.org/10.3390/en18236098

APA Style

Ali, Q. S., & Kim, M.-H. (2025). Aeroelastic Modeling of an Airborne Wind Turbine Based on a Fluid–Structure Interaction Approach. Energies, 18(23), 6098. https://doi.org/10.3390/en18236098

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Article metric data becomes available approximately 24 hours after publication online.
Back to TopTop