scholarly journals Replacing wakes with streaks in wind turbine arrays

Wind Energy ◽  
2020 ◽  
Author(s):  
Carlo Cossu
Keyword(s):  
Wind Turbine ◽  
Turbine Arrays

scholarly journals The effect of rotational direction on the wake of a wind turbine rotor – a comparison study of aligned co- and counter rotating turbine arrays

2017 ◽  
Vol 137 ◽  
pp. 238-245 ◽  
Author(s):  
Franz Mühle ◽  
Muyiwa S. Adaramola ◽  
Lars Sætran
Keyword(s):  
Wind Turbine ◽  
Turbine Rotor ◽  
Comparison Study ◽  
Turbine Arrays ◽  
Rotational Direction ◽  
Wind Turbine Rotor

scholarly journals Wind-tunnel simulations of wind-turbine arrays in neutral and non-neutral winds

2014 ◽  
Vol 524 ◽  
pp. 012166 ◽  
Author(s):  
P E Hancock ◽  
T D Farr
Keyword(s):  
Wind Tunnel ◽  
Wind Turbine ◽  
Neutral Winds ◽  
Turbine Arrays

scholarly journals A Parametric Study on Power Variation for Model Wind Turbine Arrays

2000 ◽  
Author(s):  
Dominic DeLucia
Keyword(s):  
Wind Turbine ◽  
Parametric Study ◽  
Power Variation ◽  
Turbine Arrays

scholarly journals A Simulation Study on Risks to Wind Turbine Arrays from Thunderstorm Downbursts in Different Atmospheric Stability Conditions

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5407
Author(s):  
Nan-You Lu ◽  
Lance Manuel ◽  
Patrick Hawbecker ◽  
Sukanta Basu
Keyword(s):  
Boundary Layer ◽  
Wind Turbine ◽  
Transition Period ◽  
Atmospheric Stability ◽  
Bending Moment ◽  
Stability Conditions ◽  
Wind Fields ◽  
Worst Case ◽  
Large Eddy Simulation Model ◽  
Turbine Arrays

Thunderstorm downbursts have been reported to cause damage or failure to wind turbine arrays. We extend a large-eddy simulation model used in previous work to generate downburst-related inflow fields with a view toward defining correlated wind fields that all turbines in an array would experience together during a downburst. We are also interested in establishing what role contrasting atmospheric stability conditions can play on the structural demands on the turbines. This interest is because the evening transition period, when thunderstorms are most common, is also when there is generally acknowledged time-varying stability in the atmospheric boundary layer. Our results reveal that the structure of a downburst’s ring vortices and dissipation of its outflow play important roles in the separate inflow fields for turbines located at different parts of the array; these effects vary with stability. Interacting with the ambient winds, the outflow of a downburst is found to have greater impacts in an “average” sense on structural loads for turbines farther from the touchdown center in the stable cases. Worst-case analyses show that the largest extreme loads, although somewhat dependent on the specific structural load variable considered, depend on the location of the turbine and on the prevailing atmospheric stability. The results of our calculations show the highest simulated foreaft tower bending moment to be 85.4 MN-m, which occurs at a unit sited in the array farther from touchdown center of the downburst initiated in a stable boundary layer.

scholarly journals “Wind Theft” from Onshore Wind Turbine Arrays: Sensitivity to Wind Farm Parameterization and Resolution

2020 ◽  
Vol 59 (1) ◽  
pp. 153-174 ◽  
Author(s):  
Sara C. Pryor ◽  
Tristan J. Shepherd ◽  
Patrick J. H. Volker ◽  
Andrea N. Hahmann ◽  
Rebecca J. Barthelmie
Keyword(s):  
Wind Turbine ◽  
Wind Farm ◽  
Wind Farms ◽  
Power Production ◽  
Horizontal Resolution ◽  
Spatial Extent ◽  
Wind Speeds ◽  
Stable Conditions ◽  
Wake Effects ◽  
Turbine Arrays

AbstractHigh-resolution simulations are conducted with the Weather Research and Forecasting Model to evaluate the sensitivity of wake effects and power production from two wind farm parameterizations [the commonly used Fitch scheme and the more recently developed Explicit Wake Parameterization (EWP)] to the resolution at which the model is applied. The simulations are conducted for a 9-month period for a domain encompassing much of the U.S. Midwest. The two horizontal resolutions considered are 4 km × 4 km and 2 km × 2 km grid cells, and the two vertical discretizations employ either 41 or 57 vertical layers (with the latter having double the number in the lowest 1 km). Higher wind speeds are observed close to the wind turbine hub height when a larger number of vertical layers are employed (12 in the lowest 200 m vs 6), which contributes to higher power production from both wind farm schemes. Differences in gross capacity factors for wind turbine power production from the two wind farm parameterizations and with resolution are most strongly manifest under stable conditions (i.e., at night). The spatial extent of wind farm wakes when defined as the area affected by velocity deficits near to wind turbine hub heights in excess of 2% of the simulation without wind turbines is considerably larger in simulations with the Fitch scheme. This spatial extent is generally reduced by increasing the horizontal resolution and/or increasing the number of vertical levels. These results have important applications to projections of expected annual energy production from new wind turbine arrays constructed in the wind shadow from existing wind farms.

Computational analysis of vertical axis wind turbine arrays

2016 ◽  
Vol 30 (5) ◽  
pp. 387-401 ◽  
Author(s):  
J. Bremseth ◽  
K. Duraisamy
Keyword(s):  
Wind Turbine ◽  
Computational Analysis ◽  
Vertical Axis ◽  
Vertical Axis Wind Turbine ◽  
Turbine Arrays

scholarly journals LES investigation of infinite staggered wind-turbine arrays

2014 ◽  
Vol 555 ◽  
pp. 012109 ◽  
Author(s):  
Xiaolei Yang ◽  
Fotis Sotiropoulos
Keyword(s):  
Wind Turbine ◽  
Turbine Arrays

Maximizing Power in Wind Turbine Arrays with Variable Wind Dynamics

2018 ◽  
Author(s):  
Lucas Buccafusca ◽  
Carolyn L. Beck
Keyword(s):  
Wind Turbine ◽  
Variable Wind ◽  
Turbine Arrays
Sign in / Sign up

Export Citation Format

Share Document