A literature review on wake dissipation length of hydrokinetic turbines as a guide for turbine array configuration

Nago, Victorien Gerardo; Santos, Ivan Felipe Silva dos; Gbedjinou, Michael Jourdain; Mensah, Johnson Herlich Roslee; Filho, Geraldo Lúcio Tiago; Camacho, Ramiro Gustavo Ramírez; Barros, Regina Mambeli

doi:10.1016/j.oceaneng.2022.111863

Cited by 20 publications

(3 citation statements)

References 45 publications

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“…Existing studies have considered that the load stability is significantly influenced by the turbulence intensity of ambient flow, which is enhanced dramatically owing to the wake flow [38,39]. However, the turbulence intensity is modified by the flow-structure interference in multi-row turbine array.…”

Section: Load Stabilitymentioning

confidence: 99%

Interactions between Approaching Flow and Hydrokinetic Turbines in a Staggered Layout

Chen

Lin

Liang

2023

Preprint

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Section: Load Stabilitymentioning

confidence: 99%

Interactions between Approaching Flow and Hydrokinetic Turbines in a Staggered Layout

Chen

Lin

Liang

2023

Preprint

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“…Recently, reference [51] adapted VBM to study an array of HATTs and developed a linear methodology to predict the maximum power output of the turbines based on available kinetic energy flux at 1D upstream of HATTs. Reference [52] conducted a literature review on different approaches for wake characterization of hydrokinetic converters, including BEM. They verified that in the simulation of the far wake region, the BEM showed a good balance between accuracy and cost, indicating that it could be used for optimizing turbine spacing in large arrays.…”

Section: Studies Using Vbmmentioning

confidence: 99%

Developing an Extended Virtual Blade Model for Efficient Numerical Modeling of Wind and Tidal Farms

Radfar¹,

Kinaoush²

2022

Preprint

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The Virtual Blade Model (VBM) is the implementation of the Blade element model (BEM). This was done by coupling the Blade Element Momentum theory equations to simulate rotor operation with the Reynolds Averaged Navier-Stokes (RANS) equation to simulate rotor wake and the turbulent flow field around it. Exclusion of actual geometry of blades causes lower computational cost (about 10 to 100 times). Also, due to simplifications in the meshing procedure, VBM is easier to set up than the models that consider the actual geometry of blades. One of the main unaddressed limitations of the VBM code was the constraint of modeling up to ten rotor zones within one computational domain. This paper provides a detailed and well-documented general methodology to develop a virtual blade model for simulation of ten-plus turbines within one computational domain to remove the limitation of this widely used and robust code. It is strongly believed that the technical contribution of this paper, combined with the current sky-rocketing advancement of available computational resources and hardware, would open the gates to simulate various engineering problems in the field of aerospace, clean energy, and many more.

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“…The HT are classified according the angle between the inflow vector and the plane of swept area (i.e axial flow, cross flow) [12] and the type of hydrokinetics (i.e river, tidal, oceanic) [13]. Nago et al [13] performed a literature review and listed several inlet diameters (D) and operation velocities of HT, and we group them in micro (0.15 m < D < 0.7 m), mid (0.7 m < D <2 m) and large (D > 2 m), which may operate during low (< 1.5 m/s) or rapid velocity conditions (> 1.5 m/s).…”

Section: Introductionmentioning

confidence: 99%

DOE-ANOVA to Optimize Hydrokinetic Turbines for Low Velocity Conditions

Rueda-Bayona¹,

Paez²,

Eras³

et al. 2022

MMEP

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The need of reducing the dependence of fossil fuels and CO2 emissions have motivated the diversification of energy matrix. Among the Renewables, the hydropower shows better characteristics compared to solar, wind, biomass and geothermal, because its low CO2 emissions, higher density and others technical factors. Within the Hydropower, the Hydrokinetic turbines (HT) are considered as a promising technology because can provide electricity during low flow velocity conditions (< 2 m/s) and is able to operate in shallow waters < 8 m and in secluded areas without access to the energy network. In this sense, the present study incentivizes the research in Hydropower and proposes and new application of DOE-ANOVA combined with Computational Fluid Dynamics (CFD) modelling for the HT design and optimization. Accordingly, this work evaluated the performance of a HT with 1.9 m of rotor diameter operating in a water flow of 1.5 m/s through a 23 factorial design with 9 modelling cases (MC). The results showed that the increment of outlet diameters increased the downstream velocity and the hydrodynamic pressure over the HT, and the reduction of the blade tip edge distance generated an increment of the response of the HT hydraulic and mechanical properties.

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A literature review on wake dissipation length of hydrokinetic turbines as a guide for turbine array configuration

Cited by 20 publications

References 45 publications

Interactions between Approaching Flow and Hydrokinetic Turbines in a Staggered Layout

Interactions between Approaching Flow and Hydrokinetic Turbines in a Staggered Layout

Developing an Extended Virtual Blade Model for Efficient Numerical Modeling of Wind and Tidal Farms

DOE-ANOVA to Optimize Hydrokinetic Turbines for Low Velocity Conditions

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