Analysis and optimization of ducted wind turbines

Khamlaj, Tariq Abdulsalam; Rumpfkeil, Markus P.

doi:10.1016/j.energy.2018.08.106

Cited by 89 publications

(48 citation statements)

References 34 publications

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“…As previously stated, the only requirement is that the applications involved in the loop can interact via the CLI. In references [3,[24][25][26][27][28][29][30][31][32][33], few examples using Dakota to control complex engineering design loops are discussed. However, none of them addressed the use of a fully parametric cloud-based CAD tool to generate the solid geometry or the use of the cloud to deploy the loop.…”

Section: Description Of the Workflow-methodologymentioning

confidence: 99%

Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations

Guerrero

Mantelli

Naqvi

2020

Fluids

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In this manuscript, an automated framework dedicated to design space exploration and design optimization studies is presented. The framework integrates a set of numerical simulation, computer-aided design, numerical optimization, and data analytics tools using scripting capabilities. The tools used are open-source and freeware, and can be deployed on any platform. The main feature of the proposed methodology is the use of a cloud-based parametrical computer-aided design application, which allows the user to change any parametric variable defined in the solid model. We demonstrate the capabilities and flexibility of the framework using computational fluid dynamics applications; however, the same workflow can be used with any numerical simulation tool (e.g., a structural solver or a spread-sheet) that is able to interact via a command-line interface or using scripting languages. We conduct design space exploration and design optimization studies using quantitative and qualitative metrics, and, to reduce the high computing times and computational resources intrinsic to these kinds of studies, concurrent simulations and surrogate-based optimization are used.

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Section: Description Of the Workflow-methodologymentioning

confidence: 99%

Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations

Guerrero

Mantelli

Naqvi

2020

Fluids

View full text Add to dashboard Cite

show abstract

“…As previously stated, the only requirement is that the applications involved in the loop are able to interact via the CLI. In references [3,[24][25][26][27][28][29][30][31][32][33], few examples using Dakota to control complex engineering design loops are discussed. However, none of them addressed the use of a fully parametric cloud-based CAD tool to generate the solid geometry or the use of the cloud to deploy the loop.…”

Section: Description Of the Workflow -Methodologymentioning

confidence: 99%

Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations

Guerrero¹,

Mantelli²,

Naqvi³

2020

Preprint

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In this manuscript, an automated framework dedicated to design space exploration and design optimization studies is presented. The framework integrates a set of numerical simulation, computer-aided design, numerical optimization, and data analytics tools using scripting capabilities. The tools used are open-source and freeware, and can be deployed on any platform. The main feature of the proposed methodology is the use of a cloud-based parametrical computer-aided design application, which allows the user to change any parametric variable defined in the solid model. We demonstrate the capabilities and flexibility of the framework using computational fluid dynamics applications; however, the same workflow can be used with any numerical simulation tool (e.g., a structural solver or a spread-sheet) that is able to interact via a command line interface or using scripting languages. We conduct design space exploration and design optimization studies using quantitative and qualitative metrics, and to reduce the high computing times and computational resources intrinsic to these kinds of studies, concurrent simulations and surrogate-based optimization are used.

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“…According to the latest data from the Global Wind Energy Council [1], as of 2017, the total installed capacity of the global wind power market has reached 539.6 GW, and wind power has become the third largest power source in the world. However, during the operation of wind turbines, the blade root is prone to flow separation, which decreases the power of wind turbines [2][3][4][5][6]. Many novel methods have been proposed for improving the performance of wind turbine blades in recent years, such as vortex generators (VGs) [7], microflaps [8], microtabs [4], blowing and suction [9], synthetic jets [10], flexible wall [11], and plasma actuators [12].…”

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Analysis of the Effect of Vortex Generator Height on Vortex Characteristics and Airfoil Aerodynamic Performance

Yang

Wang

2019

Energies

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To explore the effect of the height of vortex generators (VGs) on the control effect of boundary-layer flow, the vortex characteristics of a plate and the aerodynamic characteristics of an airfoil for VGs were studied by both wind tunnel experiments and numerical methods. Firstly, the ratio of VG height (H) to boundary layer thickness (δ) was studied on a flat plate boundary layer; the values of H are 0.1δ, 0.2δ, 0.5δ, 1.0δ, 1.5δ, and 2.0δ. Results show that the concentrated vortex intensity and VG height present a logarithmic relationship, and vortex intensity is proportional to the average kinetic energy of the fluid in the height range of the VG. Secondly, the effects of height on the aerodynamic performance of airfoils were studied in a wind tunnel using three VGs with H = 0.66δ, 1.0δ, and 1.33δ. The stall angle of the airfoil with and without VGs is 18° and 8°, respectively, so the VGs increase the stall angle by 10°. The maximum lift coefficient of the airfoil with VGs increases by 48.7% compared with the airfoil without VGs, and the drag coefficient of the airfoil with VGs is 84.9% lower than that of the airfoil without VGs at an angle of attack of 18°. The maximum lift–drag ratio of the airfoil with VGs is lower than that of the airfoil without VGs, so the VGs do not affect the maximum lift–drag ratio of the airfoil. However, a VG does increase the angle of attack of the best lift–drag ratio.

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Analysis and optimization of ducted wind turbines

Cited by 89 publications

References 34 publications

Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations

Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations

Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations

Experimental and Numerical Analysis of the Effect of Vortex Generator Height on Vortex Characteristics and Airfoil Aerodynamic Performance

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