NAVID ARYAN

PhD Graduate

PhD program:: XXXVII



Thesis title: Integrated experimental and numerical investigation of unsteady aerodynamics and aeroelasticity in horizontal and vertical axis wind turbines

This thesis presents a comprehensive investigation into the unsteady aerodynamic and aeroelastic behaviour across vertical- and horizontal-axis wind turbines. A stall-driven vertical-axis Darrieus rotor is probed with time-resolved Particle Image Velocimetry (PIV) system to establish quantitative vortex life-cycle and blade-resolved metrics for like-for-like model-experiment cross validation; aeroelastic analysis addresses horizontal-axis NREL 5 MW and IEA 15 MW Reference Wind Turbines (RWTs) operating in on/offshore configurations. At the convergence of scale and turbine type, dynamic stall emerges as the binding thread. The first part focuses on a two-bladed H-type vertical-axis Darrieus Wind Turbine (DWT) operating in a stall-dominated regime. A time-resolved PIV campaign is conducted to capture statistically-robust phaseresolved velocity fields and vortex dynamics, complemented by an enhanced Double-Multiple Streamtube (DMST) model with high-thrust correction and a dynamic stall sub-model. Comparisons against present PIV data, legacy experiments, and 2D Reynolds average Navier-Stokes (RANS) simulations highlight the role of dynamic stall in shaping Vertical Axis Wind Turbines (VAWTs) aerodynamics and demonstrate both the potential and limitations of low-order models in stalled conditions. The second part examines Horizontal Axis Wind Turbines (HAWTs) across scales and operating regimes. The in-house aeroelastic solver, AEOLIAN (coupling blade-element–momentum theory, BEMT, with a lumped-mass multibody structure), is verified on NREL Phase VI (NASA Ames Unsteady Aerodynamics Experiment, UAE) and validated at utility scale on the NREL 5 MW RWT under uniform, sheared and yawed inflow, as well as floating-offshore operation. These studies show that engineering-fidelity tools can be reliable when aero–structural coupling and blade deformation are treated consistently. Building on this, the analysis is extended to the IEA 15 MW RWT to benchmark aerodynamic solvers from BEMT through actuator-line and free-vortex wake to blade-resolved RANS. Comparisons with BEMT–Geometrically-Exact Beam Theory (GEBT) highlight torsional deformation as a key driver of local angle of attack and load changes, especially outboard. Finally, dynamic stall modelling—central to both horizontal- and vertical-axis turbine aerodynamics—is revisited through a systematic review and calibration of the Beddoes–Leishman (BL) model on classical pitching-airfoil data. A physics-informed calibration strategy is shown to significantly extend the predictive range of the model, supporting its use across a broad spectrum of operating conditions. Hence, this thesis contributes to the study of unsteady aerodynamics and aeroelasticity in wind turbines, spanning from time-resolved experiments to utility-scale rotor simulations. The main outcomes are: (i) an experimental–numerical assessment of stall-driven Darrieus turbine aerodynamics at the blade level, (ii) tailored post-processing methodologies to extract blade phase, circulation, and relative velocity from time-resolved PIV, providing quantitative metrics for like-for-like model-experiment comparisons and a regime-aware validation of low-order Darrieus models, specifying conditions under which the quasi-steady assumptions are valid and when additional unsteady physics are required, (iii) development and verification of AEOLIAN aeroelastic solver for on/offshore horizontal axis wind turbines, (iv) an aeroelastic analysis and verification of the next generation of utility scale RWTs operating under complex conditions and (v) a systematic reassessment of the Beddoes–Leishman dynamic stall model. These efforts collectively support a more consistent evaluation of higher-fidelity industrial models for the analysis of next-generation wind turbines. Keywords: Offshore, Wind Turbine, Aerodynamics, Unsteady, Aeroelasticity, Darrieus, Experiment, PIV, Stall.

Research products

11573/1712925 - 2024 - Effect of induction and blade elasticity modelling on wind turbine rotor performance predictions
Aryan, Navid - 02a Capitolo o Articolo
book: Journal of physics: conference series - ()

11573/1712934 - 2024 - The Beddoes-Leishman dynamic stall model: Critical aspects in implementation and calibration
Melani, P. F.; Aryan, N.; Greco, L.; Bianchini, A. - 02a Capitolo o Articolo
book: Renewable and Sustainable Energy Reviews - ()

11573/1712931 - 2024 - Accuracy assessment of Beddoes-Leishman and IAG dynamic stall models for wind turbine applications
Mohamed, Omar Sherif; Melani, Pier Francesco; Bangga, Galih; Aryan, Navid; Greco, Luca; Bianchini, Alessandro - 02a Capitolo o Articolo
book: IOP Science, Journal of Physics: Conference Series - ()

11573/1712928 - 2024 - Aerodynamic Characterization of the IEA 15 MW Reference Wind Turbine by Code-to-Code Comparison
Tieghi, Lorenzo; Morici, Vincenzo; Castorrini, Alessio; Aryan, Navid; Greco, Luca - 02a Capitolo o Articolo
book: IOP Science, Journal of Physics: Conference Series - ()

11573/1692974 - 2023 - Assessment of a fast and versatile aeroelastic platform for on/off-shore wind turbine analysis
Aryan, N.; Greco, L.; Testa, C. - 02a Capitolo o Articolo
book: 7th Offshore Energy & Storage Symposium (OSES 2023) - (978-1-83953-922-0)

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