jBAY Modeling of Vane-Type Vortex Generators and Study on Airfoil Aerodynamic Performance

Chillón, Sergio A.; Uriarte-Uriarte, Antxon; Aramendia, Iñigo; Martínez-Filgueira, Pablo; Fernandez-Gamiz, Unai; Ibarra-Udaeta, Iosu

doi:10.3390/en13102423

Cited by 15 publications

(10 citation statements)

References 40 publications

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“…Once the optimum GF lengths were defined, as a means to contrast the effects of the implementation of these ones, a VG was added in the suction side (at 30% of the chord length) of a clean DU97W300 so the results could be compared to the ones obtained by Timmer [23] and Gao et al [24]; see Figure 3. The VG implementation has been performed by using the jBAY model presented in Chillon et al [13]. A height of 5 mm and a length of 17 mm were defined for the triangular VG with an incidence angle of 18 0 to the oncoming flow.…”

Section: Setup For Optimum Gf Combined With a Vg (3d)mentioning

confidence: 99%

“…Navier-Stokes equations can be used to simulate the resulting lift force from a vane-type vortex generator in the flow field, but they require additional computational uncertainty and processing times; see Bender et al [11]. The physical effects of wake downstream vortex generators in a negligible streamwise pressure gradient flow were reproduced by Fernandez-Gamiz et al [12] and Chillon et al [13] by means of numerical simulations.…”

Section: Introductionmentioning

confidence: 99%

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Computational Methods for Modelling and Optimization of Flow Control Devices

et al. 2020

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Over the last few years, the advances in size and weight for wind turbines have led to the development of flow control devices. The current work presents an innovative method to model flow control devices based on a cell-set model, such as Gurney flaps (GFs). This model reuses the cells which are around the required geometry and a wall boundary condition is assigned to the generated region. Numerical simulations based on RANS equations and with have been performed. Firstly, a performance study of the cell-set model on GFs was carried out by comparing it with a fully mesh model of a DU91W250 airfoil. A global relative error of 1.13% was calculated. Secondly, optimum GF lengths were determined (from 0% to 2% of c) for a DU97W300 airfoil and an application of them. The results showed that for lower angles of attack (AoAs) larger GFs were needed, and as the AoA increased, the optimum GF length value decreased. For the purpose of studying the effects generated by two flow control devices (vortex generators (VGs) and optimum GF) working together, a triangular VG based on the jBAY model was implemented. Resulting data indicated, as expected, that when both flow control devices were implemented, higher CL and lower CD values appeared.

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Section: Setup For Optimum Gf Combined With a Vg (3d)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Computational Methods for Modelling and Optimization of Flow Control Devices

et al. 2020

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“…The analysis of turbulent effects is a complex procedure which is often addressed with special care, this is the case of Chillon et al [99] and their numerical analysis on vortex generators (VG) for wind turbine blades. The authors use source term modeling for the analysis of VG in a RANS environment, and use a 2-equation turbulence model (k-ω SST) for flow prediction at angles of attack below 12 • .…”

Section: Numerical Approaches For Aerodynamic Assessmentmentioning

confidence: 99%

Technological and Operational Aspects That Limit Small Wind Turbines Performance

et al. 2020

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Small Wind Turbines (SWTs) are promissory for distributed generation using renewable energy sources; however, their deployment in a broad sense requires to address topics related to their cost-efficiency. This paper aims to survey recent developments about SWTs holistically, focusing on multidisciplinary aspects such as wind resource assessment, rotor aerodynamics, rotor manufacturing, control systems, and hybrid micro-grid integration. Wind resource produces inputs for the rotor’s aerodynamic design that, in turn, defines a blade shape that needs to be achieved by a manufacturing technique while ensuring structural integrity. A control system may account for the rotor’s aerodynamic performance interacting with an ever-varying wind resource. At the end, the concept of integration with other renewable source is justified, according to the inherent variability of wind generation. Several commercially available SWTs are compared to study how some of the previously mentioned aspects impact performance and Cost of Electricity (CoE). Understanding these topics in the whole view may permit to identify both tendencies and unexplored topics to continue expanding SWTs market.

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“…A deeper description of this model is presented in the following section. Similar models, such as the jBAY model introduced in Jirasek [25], have been broadly investigated by Errasti et al [26], Chillon et al [27] and Fernandez-Gamiz et al [28]. Additionally, methods such as the proper orthogonal decomposition (POD) method presented in Fernandez-Gamiz et al [29] considerably reduce the computational cost of the simulations.…”

Section: Introductionmentioning

confidence: 99%

Cell-Set Modelling for a Microtab Implementation on a DU91W(2)250 Airfoil

et al. 2020

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Microtabs (MTs) are a regularly used flow control device in terms of wind turbine optimization. The present study introduces the application of the novel cell-set model for an MT implementation on a DU91W(2)250 airfoil. The cell-set model is based on the reusability of a mesh to add new geometries on the domain; the matching geometry is located where the user requires, and a set of cells is constructed around the mentioned geometry. Subsequently, wall boundaries are assigned to the generated region. Computational simulations were carried out for fully mesh and cell-set models: MT lengths were set at 1.0%, 1.5% and 2.0% of the airfoil chord length (c) and the MTs were placed at 93% and 95% of c from the leading edge of the airfoil. Resulting data showed that the MT behavior was similar for both models with regard to aerodynamic performance curve representations. A global relative error of 3.784% was obtained for the cell-set model and a maximum relative error of 7.332% was determined. Qualitatively, both models generated significantly similar flow stream velocity wakes on the trailing edge area of the airfoil.

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jBAY Modeling of Vane-Type Vortex Generators and Study on Airfoil Aerodynamic Performance

Cited by 15 publications

References 40 publications

Computational Methods for Modelling and Optimization of Flow Control Devices

Computational Methods for Modelling and Optimization of Flow Control Devices

Technological and Operational Aspects That Limit Small Wind Turbines Performance

Cell-Set Modelling for a Microtab Implementation on a DU91W(2)250 Airfoil

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