Aerodynamics of wind turbine wakes in flat and complex terrains

Subramanian, Balaji; Chokani, Ndaona; Abhari, Reza S.

doi:10.1016/j.renene.2015.06.060

Cited by 37 publications

(17 citation statements)

References 17 publications

(21 reference statements)

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“…Wake effect can decrease power output of a wind farm by 10-20% per annum [12,[15][16][17]. Moreover, turbulence resulted from wake, increases dynamic loading on downstream turbines which can precipitate material fatigue [13,[18][19][20][21]. Proper placement of wind turbines can alleviate wake effect leading to improved power output and costs [17,[22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Optimization of wind farm layout considering wake effect and multiple parameters

Markarian

Fazelpour

Markarian

2019

Env Prog and Sustain Energy

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The output power of wind farms in real world applications is lower than the theoretical output which is largely due to wake effect. So as to maximize the output power, the wake effect of upstream wind turbines on downstream ones should be attenuated. Thus, arrangement of wind turbines in a wind farm is an essential issue that needs to be tackled. This study pursues the aim of finding an optimal layout. Initially, Jensen wake model is applied to simulate the wake effect. Then, genetic algorithm is employed to optimize the wind farm layout considering multiple factors that include different hub heights, rotor diameters, variable induction factors, power and capacity factor curves. Three cases including constant wind–constant direction, constant wind–variable direction and variable wind–variable direction are studied and compared with previous studies. The results indicate that the efficiency of the wind farm for case 1 is 96.71% which is a high record comparing to the previous literature. For Case 2 and 3, the annual wind farm capacity factor (CF) is found to be 97.96 and 97.51%. The power output of Case 1, 2, and 3 are 5.6855 × 108 kWh, 5.6694 × 108 kWh, and 4.5572 × 108 kWh, respectively. © 2019 American Institute of Chemical Engineers Environ Prog, 38:e13146, 2019

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Section: Introductionmentioning

confidence: 99%

Optimization of wind farm layout considering wake effect and multiple parameters

Markarian

Fazelpour

Markarian

2019

Env Prog and Sustain Energy

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“…Their SCADA analysis gave consistent results. In a study by Subramanian et al [18], the impact of flat and complex terrain on the turbine wake dynamics was reported using drone-based measurement. They found that the near-wake region was reduced by 35% in complex terrain compared to that of flat terrain.…”

Section: Introductionmentioning

confidence: 99%

Interaction of Wind Turbine Wakes under Various Atmospheric Conditions

Lee¹,

Vorobieff²,

Poroseva³

2018

Energies

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Abstract:We present a numerical study of two utility-scale 5-MW turbines separated by seven rotor diameters. The effects of the atmospheric boundary layer flow on the turbine performance were assessed using large-eddy simulations. We found that the surface roughness and the atmospheric stability states had a profound effect on the wake diffusion and the Reynolds stresses. In the upstream turbine case, high surface roughness increased the wind shear, accelerating the decay of the wake deficit and increasing the Reynolds stresses. Similarly, atmospheric instabilities significantly expedited the wake decay and the Reynolds stress increase due to updrafts of the thermal plumes. The turbulence from the upstream boundary layer flow combined with the turbine wake yielded higher Reynolds stresses for the downwind turbine, especially in the streamwise component. For the downstream turbine, diffusion of the wake deficits and the sharp peaks in the Reynolds stresses showed faster decay than the upwind case due to higher levels of turbulence. This provides a physical explanation for how turbine arrays or wind farms can operate more efficiently under unstable atmospheric conditions, as it is based on measurements collected in the field.

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“…There is an increasing interest in studying rotor wakes and interaction of rotor wakes of wind turbines in wind farms [1][2]. The distance between wind turbines typically ranges from 3 to 10 rotor diameters.…”

Section: Introductionmentioning

confidence: 99%

“…Experimental data is very complicated to obtain for natural atmospheric conditions due to the difficulty of performing controlled field experiments. In this regard, laboratory experiments using small models of the rotors operating in wind tunnels [2,[7][8][9] or water flumes [10,11] have become an important alternative to field measurements. In some cases, for simplification, the rotating blades of the rotors have been replaced by solid or porous immobile disks [12,13].…”

Section: Introductionmentioning

confidence: 99%