Experimental and numerical studies on the wake behavior of a horizontal axis wind turbine

Abdelsalam, Ali M.; Boopathi, K.; Gomathinayagam, S.; Kumar, Suresh; Velraj, R.

doi:10.1016/j.jweia.2014.03.002

Cited by 40 publications

(11 citation statements)

References 19 publications

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“…This deviation increases as the wake proceeds downstream with a little decrease in indirect method compared with direct one. Similar behavior was obtained by Abdelsalam et al [33] for neutral ABL. In addition, the duel-peak pattern detected experimentally at x/D= 2, 3 and 5, is resulted from rotor tip vortices and high shear production of turbulent kinetic energy caused by strong velocity gradients at wake boundary, Zhang et al [4].…”

Section: Resultssupporting

confidence: 90%

Numerical Study on Wind Turbine Wakes Under Thermally-Stratified Conditions

Abuhegazy¹,

Abdelsalam²,

Sakr³

et al. 2016

The International Conference on Applied Mechanics and Mechanica

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In the present work, the wake behavior of wind turbines operating under thermallystratified atmospheric boundary layer (ABL) is numerically investigated. The steady state three dimensional Reynolds-Averaged Navier-Stokes (RANS) equations, combined with actuator disk approach, are used in the simulation. The standard ݇-ߝ turbulence model as well as two modified models namely Crespo model and El kasmi model are adopted. Two different methods are used and compared, to represent the atmospheric stratification conditions. In the first method, the energy equation is considered along with mass, momentum, and turbulence model equations. The stratification in the second method is modeled by means of an additional buoyancy production or dissipation term, which is added to the equation of the turbulent kinetic energy, instead of solving the energy equation. The results obtained from both methods show reasonable agreement with the experimental data available from the literature.

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Section: Resultssupporting

confidence: 90%

Numerical Study on Wind Turbine Wakes Under Thermally-Stratified Conditions

Abuhegazy¹,

Abdelsalam²,

Sakr³

et al. 2016

The International Conference on Applied Mechanics and Mechanica

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“…The met tower measured the inflow conditions 160m upwind of the turbine; the LiDAR was aligned with the mean wind, along the NS direction (meaning the LiDAR was both globally and locally aligned), and the velocity profiles were calculated using an average between L O S N and L O S S , as formulated with method (ii), at several downwind locations to capture the wake evolution for wind tunnel comparison (Section 4.2). It should be noted that turbine wake measurements were successfully captured by LiDAR in previous studies …”

Section: The Eolos Research Facilitymentioning

confidence: 99%

Upwind preview to a horizontal axis wind turbine: a wind tunnel and field‐scale study

Howard

Guala

2015

Wind Energy

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Data collected at the Eolos wind research facility and in the Saint Anthony Falls Laboratory atmospheric boundary layer wind tunnel are used to study the impact of turbulent inflow conditions on the performance of a horizontal axis wind turbine on flat terrain. The Eolos test facility comprises a 2.5MW Clipper Liberty C96 wind turbine, a meteorological tower and a WindCube LiDAR wind profiler. A second set of experiments was completed using particle image velocimetry upwind and in a wake of a miniature turbine in the wind tunnel to complement LiDAR measurements near the Eolos turbine. Joint statistics, most notably temporal cross‐correlations between wind velocity at different heights and turbine performance, are presented and compared at both the laboratory and field scales. The work (i) confirms that the turbine exerts a blockage effect on the mean flow and (ii) suggests a key, specific elevation, above hub height, where the incoming velocity signal is statistically most relevant to turbine operation and control. Wind tunnel measurements confirm such indication and suggest that hub height velocity measurements are optimal for wind preview and/or as input for active control strategies in aligned turbine configurations. Copyright © 2015 John Wiley & Sons, Ltd.

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“…However, the main problem here is the lack of effective technical solutions for supporting structures, although the literature on supports for offshore wind turbines provides descriptions of various foundation types, such as monopiles [7][8][9] [21], and supports with submerged displacement hulls, a so-called Tension Leg Platform (TLP) solution [22][23]. What is noteworthy is huge technological progress in the field of numerical simulations, supported by experimental tests [24][25][26][27][28][29][30][31][32][33][34][35][36][37]. Visible progress is also observed in technologies of structure production [38][39][40] and structure operation monitoring [41][42][43][44][45].…”

Section: Fig 2 Average Water Region Depth and Distance From The Seamentioning

confidence: 99%

Strength Analysis of a Large-Size Supporting Structure for an Offshore Wind Turbine

Niklas

2017

Polish Maritime Research

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Experimental and numerical studies on the wake behavior of a horizontal axis wind turbine

Cited by 40 publications

References 19 publications

Numerical Study on Wind Turbine Wakes Under Thermally-Stratified Conditions

Numerical Study on Wind Turbine Wakes Under Thermally-Stratified Conditions

Upwind preview to a horizontal axis wind turbine: a wind tunnel and field‐scale study

Strength Analysis of a Large-Size Supporting Structure for an Offshore Wind Turbine

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