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D
docs.nlr.gov
official
https://docs.nlr.gov/docs/fy13osti/55054.pdf
Abbreviations and Nomenclature ABL Atmospheric boundary layer ADM Actuator disk model ALM Actuator line model ASM Actuator surface model BEM Blade Element Momentum CFD Computational fluid dynamics DNS Direct numerical simulation LES Large eddy simulation N-S Navier-Stokes equations RANS Reynolds-averaged Navier-Stokes SGS Subgrid-scale CD Drag coefficient CL Lift coefficient CP Power coefficient CT Thrust coefficient p Pressure t Time U Velocity U∞ Free stream velocity λ Tip speed ratio νSGS Subgrid-scale viscosity ρ Density σ Solidity factor τSGS Subgrid-scale stress iv This report is available at no cost from the National Renewable Energy Laboratory at www.nrel.gov/publications. 2 Actuator Turbine Model Implementation The actuator disk model (ADM) and actuator line model (ALM) predict blade forces depending on the local fluid velocity at each actuator element. 6 Conclusion and Future Work The actuator line model (ALM) and actuator disk model (ADM) are a suitable representation of a wind turbine when using numerical simulations of fluid flows.
M
mdpi.com
article
https://www.mdpi.com/1996-1073/17/17/4269
permission is required to reuse all or part of the article published by MDPI, including figures and tables. Feature papers represent the most advanced research with significant potential for high impact in the field. The aim is to provide a snapshot of some of the. The growing interest in renewable energy solutions for sustainable development has significantly advanced the design and analysis of floating offshore wind turbines (FOWTs). Modeling FOWTs presents challenges due to the considerable coupling between the turbine’s aerodynamics and the floating platform’s hydrodynamics. This review paper highlights the critical role of computational fluid dynamics (CFD) in enhancing the design and performance evaluation of FOWTs. It thoroughly evaluates various CFD approaches, including uncoupled, partially coupled, and fully coupled models, to address the intricate interactions between aerodynamics, hydrodynamics, and structural dynamics within FOWTs. Additionally, this paper reviews a range of software tools for FOWT numerical analysis. computational fluid dynamics; floating offshore wind turbines; uncoupled CFD models; partially coupled CFD models; fully coupled CFD models.
P
predictiveengineering.com
article
https://www.predictiveengineering.com/consulting/fea/dynamic-and-static-stres…
A vibration study of a small wind turbine was conducted to determine the natural frequency of the tower.
F
fun3d.larc.nasa.gov
official
https://fun3d.larc.nasa.gov/papers/Lynch_dissertation.pdf
Finally, time-accurate overset rotor simulations of a complete turbine—blades, nacelle, and tower—were conducted using both RANS and HRLES turbulence models.
W
wes.copernicus.org
article
https://wes.copernicus.org/articles/7/1551/2022
# Computational fluid dynamics studies on wind turbine interactions with the turbulent local flow field influenced by complex topography and thermal stratification. This paper shows the results of computational fluid dynamics (CFD) studies of turbulent flow fields and their effects on a wind turbine in complex terrain. The test site in complex terrain is characterised by a densely forested escarpment and a flat plateau downstream of the slope. In the first part, high-resolution delayed detached eddy simulations are performed to separately investigate the effects of the forested escarpment and of thermal stratification on the flow field and accordingly on the wind turbine. All of these effects influence the flow field both at the turbine position and in its wake. The wind turbine wake and the forest wake mix further downstream, resulting in a faster decay of the turbine wake than in neutral conditions or without forest.
L
link.springer.com
article
https://link.springer.com/article/10.1186/s43088-025-00680-4
# A comprehensive review of numerical simulation techniques for wind turbines: from computational fluid dynamics and finite element analysis to advanced turbulence modeling. This review critically examines state-of-the-art numerical methodologies for the simulation of wind turbines, offering a rigorous exploration of their theoretical foundations, practical implementations, and comparative performance. The core of the study delves into advanced computational techniques encompassing computational fluid dynamics (CFD), finite element analysis (FEA), and fully coupled CFD-FEA frameworks used to resolve aerodynamic, structural, and fluid–structure interaction phenomena with high fidelity. The paper systematically analyzes turbulence modeling strategies, from industry-standard Reynolds-averaged Navier–Stokes (RANS) models to high-resolution large eddy simulation (LES) and hybrid detached eddy simulation (DES) approaches, evaluating their capabilities in capturing unsteady flow structures, vortex dynamics, and wake interactions. Through a comparative synthesis of these methods, the paper provides deep insights into their trade-offs in terms of computational cost, physical realism, and practical applicability, ultimately guiding the selection and optimization of simulation strategies for advanced wind energy system design and performance evaluation. ### A comparative study of RANS-based turbulence models for an upscale wind turbine blade.
S
sciencedirect.com
article
https://www.sciencedirect.com/science/article/pii/S0306261926005428
In parallel, high-fidelity Computational Fluid Dynamics (CFD) provides detailed insight into flow physics that govern energy capture and fatigue loading.
O
oaktrust.library.tamu.edu
research
https://oaktrust.library.tamu.edu/items/d9903b9a-8204-48b2-aaea-a4793c43c7b9
In this work, Computational Fluid Dynamics (CFD) simulations are performed for three wind tunnel experiments, i.e., the NREL S826 airfoil experiment,