Discussion papers | Copyright
https://doi.org/10.5194/wes-2018-54
© Author(s) 2018. This work is distributed under
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Research articles 13 Jul 2018

Research articles | 13 Jul 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Wind Energy Science (WES).

Coupled Wind Turbine Design and Layout Optimization with Non-Homogeneous Wind Turbines

Andrew P. J. Stanley and Andrew Ning Andrew P. J. Stanley and Andrew Ning
  • Department of Mechanical Engineering, Brigham Young University, Provo, UT, 84602, USA

Abstract. In this study, wind farms were optimized to show the benefit of coupling turbine design and layout optimization, as well as including different turbine designs in a single wind farm. For our purposes, turbine design included hub height, rotor diameter, rated power, tower diameter, tower shell thickness, and implicit blade chord and twist distributions. A 32-turbine wind farm and a 60-turbine wind farm were both considered, as well as a variety of turbine spacings and wind shear exponents. Structural constraints as well as turbine costs were considered in the optimization. Results indicate that coupled turbine design and layout optimization is superior to sequentially optimizing turbine design, then turbine layout. Coupled optimization results in an additional 2–5% reduction in cost of energy compared to optimizing sequentially. Furthermore, wind farms with closely spaced wind turbines can greatly benefit from non-uniform turbine design throughout the farm. Some of these wind farms with heterogeneous turbine design have an additional 10% cost-of-energy reduction compared to wind farms with identical turbines throughout the farm.

Andrew P. J. Stanley and Andrew Ning
Interactive discussion
Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Andrew P. J. Stanley and Andrew Ning
Model code and software

byuflowlab/stanley2018-turbine-design: Coupled Wind Turbine Design and Layout Optimization with Non-Homogeneous Wind Turbines P. J. Stanley https://doi.org/10.5281/zenodo.1311208

Andrew P. J. Stanley and Andrew Ning
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Short summary
BYU researchers show that optimizing wind turbine design and wind turbine layout at the same time is superior to doing so sequentially. This coupled optimization can reduce cost of energy by 2–5 % compared to sequential optimization. They also demonstrate that wind farms with closely spaced wind turbines can greatly benefit from different turbine designs throughout the farm. Heterogeneous turbine design can reduce cost of energy by up to 10 % compared to farms with all identical turbines.
BYU researchers show that optimizing wind turbine design and wind turbine layout at the same...
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