Procedia_DeepWind2017_Argyle_SJW.pdf (298.43 kB)
Download fileOffshore turbine wake power losses: is turbine separation significant?
conference contribution
posted on 2017-03-13, 15:02 authored by Peter Argyle, Simon WatsonThis 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'17Citation
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
2017-01-18Publication date
2017Notes
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
1876-6102Publisher version
Language
- en