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Featured researches published by Naseem Ali.


Archive | 2017

Evaluation of Higher Order Moments and Isotropy in the Wake of a Wind Turbine Array

Naseem Ali; Aleksandr Sergeyevich Aseyev; Matthew Melius; Murat Tutkun; Raul Bayoan Cal

Hot-wire measured signals are analyzed using the third and fourth order statistical moments as well as the energy spectra and structure functions in the wake of a model wind turbine array. The skewness experiences sharp excursions, away from a Gaussian behavior, due to the presence of the turbine rotor. Kurtosis is maximized at the top tip, hub, and bottom tip of the turbine. A below Gaussian kurtosis level in the probability density function (pdf) results for the streamwise direction moving away from the wall, while the hub and top tip of the pdf converge to a Gaussian behavior. At one diameter downstream of the turbine, the wall-normal kurtosis at the top tip, hub region, and slightly above the wall positions shows an increase in comparison to the other wall-normal locations. Similar peaks in wall-normal kurtosis are found five diameters and one diameter downstream of the turbine in near-wall region. These peaks converge to Gaussian behavior moving away from the wall. Energy spectra and structure functions indicate that the inertial subrange extends near the top tip in the near-wake and away from the wall in the far-wake. Utilizing the cross-spectra and mixed structure function, anisotropic behavior is held for all near- and far-wake region with exception at some small scales. Based on the structure function ratios of wall-normal and streamwise velocities, the wake is highly anisotropic for all locations except at top tip and the majority of scales in the near-wake. Contrary to this result, the ratio between the wall-normal and streamwise spectrum displays a defined range of scales behaving isotropically at most locations, the only exception being at hub height. In far-wake, the structure function ratio and spectral ratio show a significant reduction in anisotropic behavior at larger scales.


Journal of Renewable and Sustainable Energy | 2016

Structure functions, scaling exponents and intermittency in the wake of a wind turbine array

Naseem Ali; Aleksandr Sergeyevich Aseyev; Raul Bayoan Cal

Hot-wire measurements obtained in a 3 × 3 wind turbine array boundary layer are utilized to analyze high order structure functions, intermittency effects as well as the probability density functions of velocity increments at different scales within the energy cascade. The intermittency exponent is found to be greater in the far-wake region in comparison with the near-wake. At hub height, the intermittency exponent is found to be null. Extended self-similarity scaling exponents of the second, fourth, and fifth order structure functions remain relatively constant as a function of height in the far-wake; whereas in the near-wake, these are highly affected by the passage of the rotor where tip vortices reside, thus showing a dependence on physical location. When comparing with proposed models, these generally overpredict the structure functions in the far-wake region. The probability density function distributions in the far-wake region display wider tails compared to the near-wake region, and the constant sk...


Journal of Renewable and Sustainable Energy | 2016

Inverse Structure Functions in the Canonical Wind Turbine Array Boundary Layer

Bianca Viggiano; Moira S. Gion; Naseem Ali; Murat Tutkun; Raul Bayoan Cal

Wind tunnel measurements for a 3 × 3 canonical wind turbine array boundary layer are obtained using hot-wire anemometer velocity signals. Two downstream locations are considered, referring to the near- and far-wake, and 21 vertical points are acquired per profile. Velocity increments and exit distances are used to quantify inverse structure functions at both downstream locations. Inverse structure functions in the near-wake show a similar profile for the main vertical locations, but diverge as the moment is increased. In the far-wake, inverse structure functions converge toward a single function for all vertical location and moments. The scaling exponents for inverse structure functions are calculated directly and relatively, using extended self similarity. Scaling exponents show strong dependence on vertical position along the wind turbine profile in the near-wake and remain relatively constant in the far-wake. Intermittency in the near-wake is indicated by the nonlinear behavior of the direct and relati...


Journal of Renewable and Sustainable Energy | 2016

Focused-based multifractal analysis of the wake in a wind turbine array utilizing proper orthogonal decomposition

Naseem Ali; Hawwa Kadum; Raul Bayoan Cal

Hot-wire anemometry measurements have been performed in a 3 × 3 wind turbine array to study the multifractality of the turbulent kinetic energy dissipation. A multifractal spectrum and Hurst exponents are determined at nine locations downstream of the hub height, bottom and top tips. Higher multifractality is found at 0.5D and 1D downstream of the bottom tip and hub height. The second order of the Hurst exponent and combination factor shows the ability to predict the flow state in terms of its development. Snapshot proper orthogonal decomposition (POD) is used to identify the coherent and incoherent structures and to reconstruct the stochastic velocity signal using a specific number of the POD eigenfunctions. The accumulation of the turbulence kinetic energy in the top tip location exhibits fast convergence compared with the bottom tip and hub height. The dissipation of the large and small scales is determined using the reconstructed stochastic velocities. The higher multifractality is shown in the dissip...


Journal of Renewable and Sustainable Energy | 2018

Anisotropy stress invariants of thermally stratified wind turbine array boundary layers using large eddy simulations

Naseem Ali; Nicholas Hamilton; Gerard Cortina; Marc Calaf; Raul Bayoan Cal

In the interest of understanding the dynamics and energy transfer between the atmospheric boundary layer and large wind turbine arrays, a description of the turbulence anisotropy in the wake region of wind turbines is necessary. Flux of high momentum flow into the wind turbine array by anisotropic turbulence is a dominant factor of mean kinetic energy resupply for the wind farm. Under thermal stratification, the behavior of the turbulence field, and the energy flux, is significantly altered. Here, a thermally stratified wind turbine array boundary layer is studied in detail using a combination of Lumley and barycentric maps together with the recently introduced spheroid and color maps. The atmospheric flow is modelled using a large eddy simulation driven by a constant geostrophic wind and a time-varying ground surface temperature, obtained from a selected period of the Cooperative Atmosphere-Surface Exchange Study-99 field experiment. The wind farm is modelled using the traditional actuator-disk with rota...


Journal of Fluid Mechanics | 2017

Turbulence characteristics of a thermally stratified wind turbine array boundary layer via proper orthogonal decomposition

Naseem Ali; G. Cortina; N. Hamilton; M. Calaf; Raul Bayoan Cal


Journal of Fluid Mechanics | 2018

Turbulence, entrainment and low-order description of a transitional variable-density jet

Bianca Viggiano; T. Dib; Naseem Ali; Larry G. Mastin; Raul Bayoan Cal; Stephen A. Solovitz


Wind Energy Science Discussions | 2017

Assessing Spacing Impact on Coherent Features in a Wind Turbine Array Boundary Layer

Naseem Ali; Nicholas Hamilton; Dominic DeLucia; Raul Bayoan Cal


arXiv: Fluid Dynamics | 2017

Turbulent Boundary Layer Features via Lagrangian Coherent Structures, Proper Orthogonal Decomposition and Dynamic Mode Decomposition

Naseem Ali; Murat Tutkun; Raul Bayoan Cal


Bulletin of the American Physical Society | 2017

Velocity-intermittency structure for wake flow of the pitched single wind turbine under different inflow conditions

Ryan Crist; Raul Bayoan Cal; Naseem Ali; Stanislav Rockel; Joachim Peinke; Michael Hoelling

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Raul Bayoan Cal

Portland State University

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Bianca Viggiano

Portland State University

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Larry G. Mastin

United States Geological Survey

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Matthew Melius

Portland State University

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Moira S. Gion

Portland State University

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