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Training wall effects on power generation of tidal stream turbine arrays placed at headlands

Abstract:
Headlands are amongst the most promising features for potential tidal energy extraction sites, but the flow is significantly yawed with respect to the array plane. It has been suggested that guiding the flow has a positive impact on turbine loading and power production for this type of flow [1] [2]. This paper explores the effect of guiding the flow with training walls on power generation of a tidal turbine array at an idealised headland case [3] and a real site geometry, the Anglesey Skerries site, with realistic bathymetry and oscillating flow. The open-source code DG ADCIRC is used to solve the depth-averaged shallow water equations (SWEs) and a Linear Momentum Actuator Disc Theory (LMADT) model represents the turbines [4]. A parameter study is undertaken with the idealised headland site for both steady (constant flow rate) and unsteady flow conditions (sinusoidal water elevation). The parameters investigated in the study include shape, length, and angle of the training wall. Differences between steady and unsteady cases are explored for a range of flow rates (steady), frequencies and amplitudes (unsteady). The most favourable configurations are implemented in the real site simulation and compared to previous results without training walls.
Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
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Institution:
University of Oxford
Oxford college:
St Peter's College
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author


Publisher:
Technical Committee of the European Wave and Tidal Energy Conference
Host title:
12th European Wave and Tidal Energy Conference
Journal:
12th European Wave and Tidal Energy Conference More from this journal
Publication date:
2017-09-01
Acceptance date:
2017-07-24
Event location:
Cork, ROI
Event start date:
2017-08-27
Event end date:
2017-09-01
ISSN:
2309-1983


Keywords:
Pubs id:
pubs:709991
UUID:
uuid:40bd398f-f043-4fa9-a04e-b8ee000e877c
Local pid:
pubs:709991
Source identifiers:
709991
Deposit date:
2017-07-31

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