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Aerodynamic Performance Analysis and...

Moghadassian, Behnam.

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Aerodynamic Performance Analysis and Inverse Design of Horizontal Axis Wind Turbines.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Aerodynamic Performance Analysis and Inverse Design of Horizontal Axis Wind Turbines./
作者:	Moghadassian, Behnam.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	131 p.
附註:	Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Contained By:	Dissertation Abstracts International79-10B(E).
標題:	Energy. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10681326
ISBN:	9780438074682

Aerodynamic Performance Analysis and Inverse Design of Horizontal Axis Wind Turbines.
Moghadassian, Behnam.

Aerodynamic Performance Analysis and Inverse Design of Horizontal Axis Wind Turbines. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 131 p.

Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.

Thesis (Ph.D.)--Iowa State University, 2018.

This dissertation is a summary of my works in the field of aerodynamics and wind turbine simulations. My main focus has been on analyzing and suggesting novel ideas to get more power from a wind turbine and/or wind farms. Based on the problems I have solved throughout my research, I have classified my works in three major chapters.

ISBN: 9780438074682Subjects--Topical Terms:

876794
Energy.

Aerodynamic Performance Analysis and Inverse Design of Horizontal Axis Wind Turbines.
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245 1 0 $a Aerodynamic Performance Analysis and Inverse Design of Horizontal Axis Wind Turbines.
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300 $a 131 p.
500 $a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 $a Adviser: Anupam Sharma.
502 $a Thesis (Ph.D.)--Iowa State University, 2018.
520 $a This dissertation is a summary of my works in the field of aerodynamics and wind turbine simulations. My main focus has been on analyzing and suggesting novel ideas to get more power from a wind turbine and/or wind farms. Based on the problems I have solved throughout my research, I have classified my works in three major chapters.
520 $a First, I analyzed the aerodynamic performance of the dual rotor wind turbines (DRWTs) and compared it to the traditional single rotor wind turbines (SRWTs). DRWTs were suggested as a new concept to get more power from wind farms and wind turbines in isolation. Prior investigatoins on DRWTs showed that they have potential in reducing blade root loss and wake loss. In my research, we used a higher-fidelity model (large eddy simulation, LES) to analyze the aerodynamics and loads on DRWTs under different stability conditions of the turbulent atmospheric boundary layer (ABL). Actuator line method (ALM) was selected to model the rotating turbine blades. Moeng wall model was applied to obviate a high resolution mesh in the high gradient regions near the ground. The mixing length model by Smagorinsky was used to model eddy viscosity. Aerodynamic analysis was quantified by measuring the mean velocity and turbulent intensity on different sections in the wake of wind turbine.
520 $a Results of the first investigation led us to the second part of this thesis: there was a room for improvement in energy capturing by using DRWT instead of SRWT. However, neither SRWTs or DRWTs were particularly designed to give the best aerodynamic performance. On the other hand, the aerodynamic performance is strongly dependent on the blade geometry (chord and twist distribution) among other factors, such as atmospheric stability and wind strength. Therefore, we developed an approach to find the blade geometry that leads to the best aerodynamic behavior of wind turbines. Various parameters related to wind turbines can be assessed to quantify its aerodynamic behavior. In our work, we measure the angle of attack and axial induction factor for that purpose. Then the problem is defined as follows: what should the blade geometry be to have certain values of angle of attack and axial induction factor along the blade. This is an inverse problem. We used the trust region reflective (TRF), which is an iterative method, to find the optimal point to have the desired aerodynamic behavior along the blades. For iterative design processes, high-fidelity aerodynamic solvers (such as LES) are usually not suitable as the computational costs become prohibitive. Therefore, we used the medium-fidelity Reynolds Averaged Navier-Stokes (RANS) as the aerodynamic solver. The rotating blades were represented by actuator disk model (ADM). Prandtl's tip loss correction was applied to account for the finite length of blades. Based on our choices for direct (i.e. aerodynamic) and inverse solvers, a design algorithm was proposed to find the blade geometry. The goals were 1) to make sure that the algorithm was capable of providing the desired aerodynamic features and 2) to extend the design process to DRWTs.
520 $a While our results demonstrated improvements in performance and design of isolated wind turbines, the ultimate goal of our research is to get maximum power from wind farms where arrays of turbines are placed to capture wind energy. One of the main reasons that the design of a wind farm is different than the design of an isolated turbine is that downstream turbines do not work in undisturbed inflow. They work in the wake of upstream turbines. Historically, researchers use aerodynamic methods that are computationally relatively cheap (such as BEM) alongside an iterative inverse scheme (such as TRF or Newton's method) to design wind turbine blades. However, methods like BEM fail in proper modelling of wake flow and are not suitable for wind farm purposes. Employing RANS and ADM enabled us to simulate the wake flow and extend the blade design to wind farms. Therefore, we tried to find an answer to this question: what should the blade geometry (defined as radial distribution of chord and twist) be to get maximum total power from a wind farm with n in-line wind turbines? (Abstract shortened by ProQuest.).
590 $a School code: 0097.
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650 4 $a Fluid mechanics. $3 528155
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710 2 $a Iowa State University. $b Aerospace Engineering. $3 1023643
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