Turbulence-parameter estimation for current-energy converters using surrogate model optimization

Olson, Sterling; Su, Jack C. P.; Silva, H.; Chartrand, Chris; Roberts, Jesse

doi:10.1016/j.renene.2020.12.036

Cited by 3 publications

(1 citation statement)

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“…This modeling approach has a lower level of fidelity then the methods mentioned above (especially because the rotational motion of the blades is neglected), but can successfully simulate far-field wakes (Fig. 5), provided the turbulence models are adequately tuned 116 (and suitably mimic the effects of the unresolved turbulence processes, especially swirl and the shedding of vortices). The main interest of AD methods is that, due to their simplicity, they can be integrated into regional models (e.g., ROMS, Telemac3D).…”

Section: B Wake Turbulencementioning

confidence: 99%

A review of tidal energy—Resource, feedbacks, and environmental interactions

Neill

Haas

Thiebot

et al. 2021

Journal of Renewable and Sustainable Energy

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Section: B Wake Turbulencementioning

confidence: 99%