Imperial College London

DrSylvainLaizet

Faculty of EngineeringDepartment of Aeronautics

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 5045s.laizet Website

 
 
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Location

 

339City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Deskos:2019:10.1016/j.renene.2018.11.084,
author = {Deskos, G and Laizet, S and Piggott, M},
doi = {10.1016/j.renene.2018.11.084},
journal = {Renewable Energy},
pages = {989--1002},
title = {Turbulence-resolving simulations of wind turbine wakes},
url = {http://dx.doi.org/10.1016/j.renene.2018.11.084},
volume = {134},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Turbulence-resolving simulations of wind turbine wakes are presented using a high-order flow solver combined with both a standard and a novel dynamic implicit spectral vanishing viscosity (iSVV and dynamic iSVV) model to account for subgrid-scale (SGS) stresses. The numerical solutions are compared against wind tunnel measurements, which include mean velocity and turbulent intensity profiles, as well as integral rotor quantities such as power and thrust coefficients. For the standard (also termed static) case the magnitude of the spectral vanishing viscosity is selected via a heuristic analysis of the wake statistics, while in the case of the dynamic model the magnitude is adjusted both in space and time at each time step. The study focuses on examining the ability of the two approaches, standard (static) and dynamic, to accurately capture the wake features, both qualitatively and quantitatively. The results suggest that the static method can become over-dissipative when the magnitude of the spectral viscosity is increased, while the dynamic approach which adjusts the magnitude of dissipation locally is shown to be more appropriate for a non-homogeneous flow such that of a wind turbine wake.
AU - Deskos,G
AU - Laizet,S
AU - Piggott,M
DO - 10.1016/j.renene.2018.11.084
EP - 1002
PY - 2019///
SN - 1879-0682
SP - 989
TI - Turbulence-resolving simulations of wind turbine wakes
T2 - Renewable Energy
UR - http://dx.doi.org/10.1016/j.renene.2018.11.084
UR - http://hdl.handle.net/10044/1/66494
VL - 134
ER -