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A Three-Dimensional, Analytical Wind Turbine Wake Model : = Flow Acceleration, Empirical Correlations, and Continuity.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Three-Dimensional, Analytical Wind Turbine Wake Model :/
Reminder of title:	Flow Acceleration, Empirical Correlations, and Continuity.
Author:	Sadek, Zein Ahmad.
Description:	1 online resource (58 pages)
Notes:	Source: Masters Abstracts International, Volume: 84-02.
Contained By:	Masters Abstracts International84-02.
Subject:	Fluid mechanics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28970110click for full text (PQDT)
ISBN:	9798841769187

A Three-Dimensional, Analytical Wind Turbine Wake Model : = Flow Acceleration, Empirical Correlations, and Continuity.
Sadek, Zein Ahmad.

A Three-Dimensional, Analytical Wind Turbine Wake Model :Flow Acceleration, Empirical Correlations, and Continuity. - 1 online resource (58 pages)

Source: Masters Abstracts International, Volume: 84-02.

Thesis (M.S.)--Portland State University, 2022.

Includes bibliographical references

A new, three-dimensional, analytical, steady state wake model is presented which includes local flow acceleration near the rotor improving wake description compared to existing models. Wake structures such as the momentum deficit and regions of accelerated flow are concisely described with compound and normal Gaussian functions. Large-eddy simulations (LES) are used as training data to develop the model using two, inline turbines under various inflow conditions parameterized by hub height wind speed and turbulence intensity. Mass conservation is considered by fixing two components of the wake velocity model and optimizing the third to best satisfy continuity; after which, the model performs comparably if not better than existing work with regards to both relative error and mass consistency. The final model demonstrates a high degree of flexibility making use of empirical correlations to scale across different inflow conditions. This work will be transitioned into the open source, flow redirection and induction in steady state (FLORIS) wind farm modeling toolbox where it will be used to predict wake velocities in wind plant optimization processes. The inclusion of these effects is capable of revealing unutilized opportunities for enhanced power generation by aligning wake trajectories with these regions of accelerated flow.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798841769187Subjects--Topical Terms:

528155
Fluid mechanics.
Subjects--Index Terms:

Wind turbinesIndex Terms--Genre/Form:

542853
Electronic books.

A Three-Dimensional, Analytical Wind Turbine Wake Model : = Flow Acceleration, Empirical Correlations, and Continuity.
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100 1 $a Sadek, Zein Ahmad. $3 3694743
245 1 2 $a A Three-Dimensional, Analytical Wind Turbine Wake Model : $b Flow Acceleration, Empirical Correlations, and Continuity.
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300 $a 1 online resource (58 pages)
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500 $a Source: Masters Abstracts International, Volume: 84-02.
500 $a Advisor: Cal, Raul B.
502 $a Thesis (M.S.)--Portland State University, 2022.
504 $a Includes bibliographical references
520 $a A new, three-dimensional, analytical, steady state wake model is presented which includes local flow acceleration near the rotor improving wake description compared to existing models. Wake structures such as the momentum deficit and regions of accelerated flow are concisely described with compound and normal Gaussian functions. Large-eddy simulations (LES) are used as training data to develop the model using two, inline turbines under various inflow conditions parameterized by hub height wind speed and turbulence intensity. Mass conservation is considered by fixing two components of the wake velocity model and optimizing the third to best satisfy continuity; after which, the model performs comparably if not better than existing work with regards to both relative error and mass consistency. The final model demonstrates a high degree of flexibility making use of empirical correlations to scale across different inflow conditions. This work will be transitioned into the open source, flow redirection and induction in steady state (FLORIS) wind farm modeling toolbox where it will be used to predict wake velocities in wind plant optimization processes. The inclusion of these effects is capable of revealing unutilized opportunities for enhanced power generation by aligning wake trajectories with these regions of accelerated flow.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Fluid mechanics. $3 528155
650 4 $a Mechanical engineering. $3 649730
653 $a Wind turbines
653 $a Large-eddy simulations
653 $a Mass conservations
653 $a Flow acceleration
655 7 $a Electronic books. $2 lcsh $3 542853
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710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a Portland State University. $b Mechanical Engineering. $3 3191308
773 0 $t Masters Abstracts International $g 84-02.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28970110 $z click for full text (PQDT)