A study of the performance benefits of closely-spaced lateral wind farm configurations

McTavish, Sean; Feszty, Dániel; Nitzsche, Fred

doi:10.1016/j.renene.2013.03.032

Cited by 21 publications

(36 citation statements)

References 12 publications

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“…Turbines 1 and 3 also exhibit a notable increase in power output when the setback of the centre turbine is minimized. Although only the results for the G = 2D configuration have been shown here, significant increases in turbine power have also been observed in cases where G = 3D and G = 1.5D . These closely spaced lateral wind farm configurations may be particularly applicable to wind sites with a predominantly unidirectional wind distribution, as they would be susceptible to detrimental wake interactions that would accompany a wind direction change of 90°.…”

Section: Performance In Three‐rotor Configurationssupporting

confidence: 88%

“…The mean power output from two separate runs was averaged to estimate the power output of a rotor. The electrical power measurements highlighted in this manuscript have been adapted from a previous study by McTavish et al and are correlated here with the velocity measurements described in the current study

P_{elec} = \frac{V^{2}}{normalΩ}

…”

Section: Experimental Methodsmentioning

confidence: 99%

“…The wind speed was not available at Y = 2D, and therefore, C P , e l e c could not be calculated at that particular location. A similar procedure was repeated for the longitudinal position of the centre rotor …”

Section: Experimental Methodsmentioning

confidence: 99%

“…In addition to the work of Myers and Bahaj, the tidal turbine community has recently been investigating the concept of a tidal fence, or a linear array of tidal turbines across a partially blocked channel, using computational methods in order to improve the yield of these turbines . Previous work by the current authors evaluated the performance of scaled wind turbines with lateral separation distances between rotor blade tips that ranged from 3D to 0.25D . This work indicated that the power output of certain wind farm configurations could be increased because of the reduced lateral separation between adjacent wind turbines .…”

Section: Introductionmentioning

confidence: 99%

“…Previous work by the current authors evaluated the performance of scaled wind turbines with lateral separation distances between rotor blade tips that ranged from 3D to 0.25D . This work indicated that the power output of certain wind farm configurations could be increased because of the reduced lateral separation between adjacent wind turbines . While the previous work considered turbine power output, the present manuscript expands and complements these results with flowfield measurements and a computational study.…”

Section: Introductionmentioning

confidence: 99%

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An investigation of in‐field blockage effects in closely spaced lateral wind farm configurations

et al. 2014

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A method of increasing the performance of wind farms has been established by limiting the lateral separation between neighbouring wind turbines. The close proximity of the wind turbines creates a beneficial in‐field blockage effect that results in a core of increased speed that is accelerated through the gap between the turbines. A preceding study indicated that the performance of three wind turbines can be increased by over 10% with tip‐to‐tip separation of 0.5 diameters (D) compared with the power output of the respective turbines in isolation. A corresponding flow‐mapping study has been completed in the current work using a single‐normal hot‐wire anemometer to characterize the increased flow speed through a narrow lateral gap, leading to the observation of a region of increased speed that occurs between 0D and 2.5D downstream of the gap between laterally spaced wind turbines. The experimental results were confirmed by conducting a series of computational simulations with the generalized unsteady vortex particle discrete vortex method code. The simulations were conducted with three rotors arranged in five different configurations, and the increase in power generated by the multi‐rotor configurations closely followed the observed experimental trends. The closely spaced lateral wind turbine configurations may have the ability to increase the annual capacity factor of wind farms while reducing wind farm land use requirements. Copyright © 2014 John Wiley & Sons, Ltd.

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Section: Performance In Three‐rotor Configurationssupporting

confidence: 88%

P_{elec} = \frac{V^{2}}{normalΩ}

…”

Section: Experimental Methodsmentioning

confidence: 99%

Section: Experimental Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An investigation of in‐field blockage effects in closely spaced lateral wind farm configurations

et al. 2014

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A linear wake expansion function for the double‐Gaussian analytical wake model

Soesanto

Yoshinaga

Iida

2023

Energy Science & Engineering

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The double-Gaussian (DG) approach for analytical wake modeling leads to a better understanding of the wake transition mechanism within a full-wake region behind a non-yawed horizontal-axis wind turbine (HAWT). To date, a key parameter of the wake expansion in the DG model still has yet to be defined explicitly instead of tuning, thus limiting its usability for practical applications. The present work aims to overcome this limitation by proposing a simple linear wake expansion function for the DG model constructed from the existing parameters based on the conservation of mass and momentum. Considering the physical and statistical approaches, the proposed function is

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Dependence of optimal wind turbine spacing on wind farm length

Stevens

2015

Wind Energ.

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Recent large eddy simulations have led to improved parameterizations of the effective roughness height of wind farms. This effective roughness height can be used to predict the wind velocity at hub-height as function of the geometric mean of the spanwise and streamwise turbine spacings and the turbine loading factors. Meyers and Meneveau (Wind Energy 15, 305-317 (2012)) used these parameterizations to make predictions for the optimal wind turbine spacing in infinitely large wind farms. They found that for a realistic cost ratio between the turbines and the used land surface the optimal turbine spacing may be considerably larger than used in conventional wind farms. Here we extend this analysis by taking the length of the wind farm, i.e. the number of rows in the downstream direction, into account and show that the optimal turbine spacing strongly depends on the wind farm length. For small to moderately sized wind farms the model predictions are consistent with spacings found in operational wind farms. For much larger wind farms the extended optimal spacing found for infinite wind farms is confirmed.

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A study of the performance benefits of closely-spaced lateral wind farm configurations

Cited by 21 publications

References 12 publications

An investigation of in‐field blockage effects in closely spaced lateral wind farm configurations

An investigation of in‐field blockage effects in closely spaced lateral wind farm configurations

A linear wake expansion function for the double‐Gaussian analytical wake model

Dependence of optimal wind turbine spacing on wind farm length

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