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Offshore turbine wake power losses: is turbine separation significant?

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conference contribution
posted on 2017-03-13, 15:02 authored by Peter Argyle, Simon Watson
This paper presents the results of a parametric study of wind turbine wake effects in a hypothetical offshore wind farm with varying turbine separation using a Computational Fluid Dynamics (CFD) model. Results are analyzed from a simulated 40 turbine farm with 60 layout options, 4 wind speeds and 10° directional bins. Results show that increasing turbine separation in one or both directions leads to greater power generation, though this effect diminishes for separations above 8 diameters. Similarly, turbulence intensity is shown to decrease with increases in turbine separation but with little variation beyond 8 diameters. For 3 out of 4 wind speeds when combined with a representative UK offshore wind rose the farm was shown to have an optimal layout orientation along an axis 350°-170°, though the difference in power produced between orientation angles was less than between changes in turbine separation.

Funding

The authors also acknowledge that funding for this work came from the MAXFARM project (EPSRC reference EP/N006224/1) as part of SUPERGEN Wind.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

DeepWind'17

Citation

ARGYLE, P. and WATSON, S.J., 2017. Offshore turbine wake power losses: is turbine separation significant? Energy Procedia, 137, pp.134-142.

Publisher

Elsevier Ltd (© The Authors)

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2017-01-18

Publication date

2017

Notes

This paper was presented at 14th Deep Sea Offshore Wind R&D Conference, EERA DeepWind'2017, 18-20 January 2017, Trondheim, Norway. This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

ISSN

1876-6102

Language

  • en

Location

Trondheim

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