Modeling the wake dynamics of a marine hydrokinetic turbine using different actuator representations

Sandoval, Jorge; Soto-Rivas, Karina; Gotelli, Clemente; Escauriaza, Cristián

doi:10.1016/j.oceaneng.2021.108584

Cited by 20 publications

(5 citation statements)

References 44 publications

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“…As can be seen in Table 1, few studies conduct this validation. Numerical studies simulate turbines between 1 and 10 m. Only Sandoval et al (2021) and Lazzerini et al (2022) numerically study turbines smaller than 0,27 and 0,42 m, respectively. While the experimental studies evaluate turbines on a scale between 0,109 and 0,8 m. Only Lazzerini et al (2022) simulated the rotor to be the same size as the scale model they experimented with.…”

Section: Resultsmentioning

confidence: 99%

Numerical and experimental performance analysis of a horizontal axis hydrokinetic turbine

Betancur Gómez,

Ardila Marín,

Chica Arrieta

2023

JART

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Alternative technologies such as hydrokinetic turbines can improve the electric energy conditions in rural or non interconnected areas with a low environmental impact. However, as they are an emergent device they must be studied further to better understand their phenomenology a nd the ways to improve their performance. The numerical and experimental evaluation of rotors under specific operation conditions depending on their hydrodynamic profiles result in efficiency curves for evaluated prototypes, so that devices are proposed which take full advantage of the flow conditions of a specific place. Considering the above, the main objective of this work was to numerically and experimentally evaluate a horizontal axis hydrokinetic turbine rotor prototype with an EPPLER E817 hydrodyna mic profile for a flow velocity of 1.4 m s 1 The simulations were carried out by means of computational fluid dynamics; the k ? SST turbulence model was used, and the torque was monitored. Then, the Grid Convergence Index ( was calculated to establish the results’ numerical uncertainty. For experimentation, the rotor was additively manufactured and tested in a test bench, where tests at velocity of nearly 1,4 m s 1 were performed and the braking voltage was varied to measure torque at different tip speed ratio (TSR Finally, the experimental and numerical curves of power coefficient ( versus TSR were compared Both the simulation and experimental results show th at a TSR of about 4 represents the best operating conditions, but, due to mechanical losses in the experimental setup, the reported Cp values differ between a numerical 0.4 34 and an experimental 0.2 67 The power generated by the evaluated rotor could achie ve 117.0 W, thus showing the potential of this technology for electrical power supply with low environmental impact.

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Section: Resultsmentioning

confidence: 99%

Numerical and experimental performance analysis of a horizontal axis hydrokinetic turbine

Betancur Gómez,

Ardila Marín,

Chica Arrieta

2023

JART

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“…The discrepancy in turbine representation leads to the decision to calibrate based on the flow field from 1.5D downstream in a zone of width 3D to also capture the expansion width of the far wake. It should be noted that this is typically the region of highest error between not only differing turbine representation methods, but also to measured data; existing research has already demonstrated that accurately capturing the wake dynamics may require investigation of several different approaches to turbine modelling (Sandoval et al, 2021). The central region of the wake is well calibrated, with increased r.m.s.…”

Section: Calibration Of Floris Wake Effectsmentioning

confidence: 99%

Combining shallow-water and analytical wake models for tidal array micro-siting

Jordan¹,

Dundovic²,

Fragkou³

et al. 2022

Preprint

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Array optimisation is critical for improving power performance and reducing infrastructure costs thereby helping enable tidal-stream energy to become a competitive renewable energy source. However, ascertaining an optimal array layout is a highly complex problem, subject to the specific site hydrodynamics characterisation and multiple inter-disciplinary constrains. In this work, we present a novel optimisation approach that combines an analytical-based wake model, FLORIS, with an ocean model, Thetis. The approach is demonstrated with applications of increasing complexity. By utilising the method of analytical wake superposition, the addition or alteration of turbine position does not require re-calculation of the entire flow field, thus allowing the use of simple heuristic techniques to perform optimisation at a fraction of the computational cost of more sophisticated methods. Using a custom condition-based placement algorithm, this methodology is applied to the Pentland Firth for 24 turbines with a rated speed of 3.05 m/s, demonstrating practical implications whilst also considering the temporal variability of the tide. Micro-siting using this technique generated an array 12% more productive on average than a staggered layout, despite flow speeds regularly exceeding the rated value. Performance was further evaluated through assessment of the optimised layout within the ocean model that represents the turbines through a discrete turbine representation.Used iteratively, this methodology could be applied to deliver improved array configurations in a manner that accounts for local hydrodynamic effects.

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“…This discrepancy in turbine representation leads to the decision to calibrate based on the flow field from 1.5D downstream in a zone of width 3D to also capture the expansion width of the far wake. It should be noted that this is typically the region of highest error between not only differing turbine representation methods, but also to measured data; the existing research has already demonstrated that accurately capturing the wake dynamics may require investigation of several different approaches to turbine modelling (Sandoval et al 2021). The central region of the wake is well calibrated, with increased r.m.s.…”

Section: Calibration Of Floris Wake Effectsmentioning

confidence: 99%

Combining shallow-water and analytical wake models for tidal array micro-siting

Jordan

Dundovic

Fragkou

et al. 2022

J. Ocean Eng. Mar. Energy

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For tidal-stream energy to become a competitive renewable energy source, clustering multiple turbines into arrays is paramount. Array optimisation is thus critical for achieving maximum power performance and reducing cost of energy. However, ascertaining an optimal array layout is a complex problem, subject to specific site hydrodynamics and multiple inter-disciplinary constraints. In this work, we present a novel optimisation approach that combines an analytical-based wake model, FLORIS, with an ocean model, Thetis. The approach is demonstrated through applications of increasing complexity. By utilising the method of analytical wake superposition, the addition or alteration of turbine position does not require re-calculation of the entire flow field, thus allowing the use of simple heuristic techniques to perform optimisation at a fraction of the computational cost of more sophisticated methods. Using a custom condition-based placement algorithm, this methodology is applied to the Pentland Firth for arrays with turbines of $$3.05\,\hbox {m}/\hbox {s}$$ 3.05 m / s rated speed, demonstrating practical implications whilst considering the temporal variability of the tide. For a 24-turbine array case, micro-siting using this technique delivered an array 15.8% more productive on average than a staggered layout, despite flow speeds regularly exceeding the rated value. Performance was evaluated through assessment of the optimised layout within the ocean model that treats turbines through a discrete turbine representation. Used iteratively, this methodology could deliver improved array configurations in a manner that accounts for local hydrodynamic effects.

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Modeling the wake dynamics of a marine hydrokinetic turbine using different actuator representations

Cited by 20 publications

References 44 publications

Numerical and experimental performance analysis of a horizontal axis hydrokinetic turbine

Numerical and experimental performance analysis of a horizontal axis hydrokinetic turbine

Combining shallow-water and analytical wake models for tidal array micro-siting

Combining shallow-water and analytical wake models for tidal array micro-siting

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