A viscous vortex lattice method for analysis of cross-flow propellers and turbines

Epps, Brenden P.; Roesler, Bernard T.; Medvitz, Richard B.; Choo, Yeunun; McEntee, Jarlath

doi:10.1016/j.renene.2019.05.053

Cited by 12 publications

(3 citation statements)

References 21 publications

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“…Bose [5] adapted a multiple-streamtube-model from wind turbine theory to study high-pitch cycloidal propeller. Recent studies [9,15] has implemented more complex models to continue to estimate as well as possible cycloidal propeller performance. Lastly improvements on modern CFD solvers are accurate validation resources and a new interesting area of work for optimization purpose [2,10,11,17].…”

Section: Introductionmentioning

confidence: 99%

An experimental blade-controlled platform for the design of smart cross-flow propeller

Fasse

Becker²,

Hauville³

et al. 2022

Ocean Engineering

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Section: Introductionmentioning

confidence: 99%

An experimental blade-controlled platform for the design of smart cross-flow propeller

Fasse

Becker²,

Hauville³

et al. 2022

Ocean Engineering

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“…Potential flow analysis using a surface vorticity model is applied to minimize losses in the runner profile. Several other optimization methods related to potential flow analysis of the runner turbomachinery profile were conducted using a viscous vortex lattice method analysis [6], multiphase large eddy simulations [7], [8], computational fluid dynamics analysis [9]- [14] and experimental analysis [15]- [17]. In this work, design validation was implemented to determine performance using computational fluid dynamics analysis ANSYS CFX.…”

Section: Introductionmentioning

confidence: 99%

Design and performance of very low head water turbines using a surface vorticity model algorithm

Subekti

Prawara²,

Susatyo³

et al. 2022

IJPEDS

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This study explores the numerical optimization of water turbine runner profile performance using a surface vorticity model algorithm. The turbine is designed on a laboratory scale and operates at a net head of 0.09 m, 400 rpm, and a water flow rate of 0.003 m3/s. The initial design of the turbine runner was optimized to minimize losses in the hydrofoil. The optimization algorithm is coded in MATLAB software to obtain the optimal stagger angle that will be used in the water turbine design. Furthermore, design validation was performed using computational fluid dynamics analysis ANSYS CFX to determine the water turbine performance. The settings used in ANSYS CFX include the reference pressure of 1 atm, turbulence model shear stress transport, and inlet boundary conditions using total pressure and static pressure outlet boundary conditions. The computational fluid dynamics analysis reveals that by optimizing the design, the efficiency of the water turbine increases by approximately 2.6%. The surface vorticity model algorithm can be applied to optimize the design of the water turbine runner.

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“…These experimental techniques require large-scale facilities and precise measurement systems, which, in general, are expensive. Analytic and semi-empirical techniques such as the Streamtube model [11,12], free wake vortex models [13][14][15], and cylinder and line actuator models [16][17][18], among others, are considered simple to implement but highly dependent on experimental data. The most common computational technique used in the simulation of Vertical Axis Turbines (VAT) is Computational Fluid Dynamics (CFD) in which the governing equations of the dynamics of flow are solved in a computational domain that needs to be discretized in elements (Control volumes).…”

Section: Introductionmentioning

confidence: 99%

Comparison of Sliding and Overset Mesh Techniques in the Simulation of a Vertical Axis Turbine for Hydrokinetic Applications

Mejia

Escorcia

et al. 2021

Processes

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The application of Computational Fluid Dynamics (CFD) to energy-related problems has increased in the last decades in both renewable and conventional energy conversion processes. In recent years, the application of CFD in the study of hydraulic, marine, tidal, and hydrokinetic turbines has focused on the understanding of the details of the complex turbulent flow and also in improving the prediction of the performance of these devices. There are several complexities involved in the simulation of Vertical Axis Turbine (VAT) for hydrokinetic applications. One of them is the necessity of a dynamic mesh model. Typically, the model used in the simulation of these devices is the sliding mesh technique, but in recent years the fast development of the overset (also known as chimera) mesh technique has caught the attention of the academic community. In the present paper, a comparison between these two techniques is done in order to establish their advantages and disadvantages in the two-dimensional simulation of vertical axis turbines. The comparison was done not only for the prediction of performance parameters of the turbine but also for the capabilities of the models to capture complex flow phenomena in these devices and computational costs.

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A viscous vortex lattice method for analysis of cross-flow propellers and turbines

Cited by 12 publications

References 21 publications

An experimental blade-controlled platform for the design of smart cross-flow propeller

An experimental blade-controlled platform for the design of smart cross-flow propeller

Design and performance of very low head water turbines using a surface vorticity model algorithm

Comparison of Sliding and Overset Mesh Techniques in the Simulation of a Vertical Axis Turbine for Hydrokinetic Applications

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