Application of the actuator disc theory of Delft3D-FLOW to model far-field hydrodynamic impacts of tidal turbines

RENEWABLE ENERGY

卷:139

Article

Ramos, V.¹  Carballo, R.²  Ringwood, John V.³ 

[1] Univ Porto, Interdisciplinary Ctr Marine & Environm Res, Terminal Cruzeiros Porto Leixoes, Ave Gen Norton S-N, P-4450208 Matosinhos, Portugal

[2] Univ Santiago de Compostela, EPS, Hydraul Engn, Lugo, Spain

[3] Maynooth Univ, COER, Maynooth, Kildare, Ireland

关键词: Tidal stream energy;    HATT;    Momentum sink approach;    Porous plate;    Orkney region;   

DOI  :  10.1016/j.renene.2019.02.094

来源: Elsevier

【 摘 要 】

Accurate knowledge of tidal turbine impacts on the far-field hydrodynamic conditions, which extend from 3 to 20 diameters downstream the turbine, is essential for the estimation of tidal resource, farm layout design and environmental impact. For this purpose, tidal turbine operation is modelled within coastal models, as enhanced bottom friction, or momentum sinks. In Delft3D-FLOW, a state-of-the-art coastal model, turbine operation is usually represented via momentum losses, using the Porous Plate tool. However, the Porous Plate tool presents significant limitations to accurately represent energy extraction and geometry of tidal turbines. Recently, a new tool (Actuator Disc) based on the Momentum Actuator Disc Theory (MADT) was developed in Delft3D-FLOW, overcoming the aforementioned limitations and showing excellent results against laboratory data. The aim of this work is to compare the behaviour of the Actuator Disc and Porous Plate on the far-field hydrodynamics. Overall, significant differences were found, with the Porous Plate significantly underestimating the impact on instantaneous and residual flow velocities and turbulence conditions, when the turbine operates at its rated power. Consequently, MADT appears as the best alternative to investigate the far-field hydrodynamic impacts of tidal turbine operation and previous research based on the Porous Plate tool should be revisited. (C) 2019 Published by Elsevier Ltd.

【 授权许可】

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