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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.
U
ui.adsabs.harvard.edu
research
https://ui.adsabs.harvard.edu/abs/2023FrEaS..1058734L/abstract
Besides, Computational Fluid Dynamics (CFD) simulation based on Large Eddy Simulation (LES) method is conducted to further investigate the impact of complex
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.
P
pure.qub.ac.uk
article
https://pure.qub.ac.uk/en/publications/computational-fluid-dynamics-and-digit…
This review examines the current state of research on incorporating CFD within DTs for wind turbine applications. We show that, despite
E
eureka.patsnap.com
article
https://eureka.patsnap.com/article/how-computational-fluid-dynamics-cfd-impro…
By simulating wind flow and its interaction with turbine blades, CFD helps in designing blades that minimize noise production. Understanding the
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.
M
meteodyn.com
article
https://meteodyn.com/sectors/onshore-and-offshore-wind-power/meteodyn-univers…
Meteodyn WT is a Computational Fluid Dynamics (CFD) software for numerical wind simulation and wind resource assessment. It computes all the wind characteristics and estimates the annual energy production (AEP) of wind farms. To model the wind and accurately estimate the wind resource, our wind energy software uses Computational Fluid Dynamics (CFD) technology, which has been in use at Meteodyn since 2003. The results obtained are fast and accurate, thanks to the physical models of forests and atmospheric boundary layer, and the self-convergence algorithms implemented. Meteodyn WT is suitable for both beginners and experts in numerical simulation who want to perform wind resource and energy yield assessment studies. The Annual Energy Production (AEP) computation can be performed by weighting the wind speed distribution at the rotor height with the power curve of the wind turbine (REWS), taking into account losses due to wake effects. The economic viability of a wind farm is secured by an accurate wind resource assessment and the proper analysis of wind characteristics.
Y
youtube.com
video
https://www.youtube.com/watch?v=7HlyzhlBt6M
WEBINAR | How Simulating Wind Turbines Can Accelerate the Renewable Energy Transformation
convergecfd
5520 subscribers
11 likes
1225 views
10 Aug 2022
With demand for renewable energy skyrocketing, designing durable wind turbines optimized for maximum power output is essential. Computational fluid dynamics (CFD) enables engineers to virtually assess key design parameters, such as power output under various conditions, wind and wave loads, and downstream wake effects on wind farms. In this webinar, we discuss the tools CONVERGE CFD software offers for simulating both onshore and offshore wind turbines. CONVERGE’s fully autonomous meshing easily accommodates complex environmental terrain as well as rotating turbine blades. To speed up wind turbine simulations, CONVERGE includes simplified models that allow you to capture essential flow structures without needing to resolve the 3D geometry. In addition, CONVERGE features robust fluid-structure interaction modeling, wave generation, and a mooring cable model for accurately simulating offshore wind turbines. We demonstrate the efficacy of these modeling approaches on a variety of cases, including individual onshore wind turbines, wind farms, and floating offshore wind turbines.
Presented by:
Shengbai Xie, Principal Research Engineer–Applications, Convergent Science
Jasim Sadique, Principal Research Engineer–Development, Convergent Science
3 comments