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Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
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Discussion papers
https://doi.org/10.5194/wes-2019-37
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-2019-37
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research articles 23 Jul 2019

Submitted as: research articles | 23 Jul 2019

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

Massive Simplification of the Wind Farm Layout Optimization Problem

Andrew P. J. Stanley and Andrew Ning Andrew P. J. Stanley and Andrew Ning
  • Brigham Young University Department of Mechanical Engineering, 701 E University Pkwy, 350 EB, Provo, UT, 84602

Abstract. The wind farm layout optimization problem is notoriously difficult to solve because of the large number of design variables and extreme multimodality of the design space. Because of the multimodality of the space and often discontinuous models used in wind farm modeling, the wind industry is heavily dependent on gradient-free techniques for wind farm layout optimization. Unfortunately, the computational expense required with these methods scales poorly with increasing numbers of variables. Thus, many companies and researchers have been limited in the size of wind farms they can optimize. To solve these issues, we present the boundary-grid parameterization. This parameterization uses only five variables to define the layout of a wind farm with any number of turbines. For a 100 turbine wind farm, we show that optimizing the five variables of the boundary-grid method produces wind farms that perform within 0.5 % of farms where the location of each turbine is optimized individually, which requires 200 design variables. Our presented method unlocks the ability to optimize and study large wind farms, something that has been mostly infeasible in the past.

Andrew P. J. Stanley and Andrew Ning
Interactive discussion
Status: open (until 03 Sep 2019)
Status: open (until 03 Sep 2019)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Andrew P. J. Stanley and Andrew Ning
Model code and software

byuflowlab/stanley2019-variable-reduction: Massive Simplification of the Wind Farm Layout Optimization Problem P. J. Stanley https://doi.org/10.5281/zenodo.3261037

Andrew P. J. Stanley and Andrew Ning
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Latest update: 20 Aug 2019
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Short summary
When designing a wind farm, one crucial step is finding the correct location, or optimizing, the location of the wind turbines to maximize power production. In the past, optimizing the turbine layout of large wind farms has been difficult because of the large number of interacting variables. In this paper, we present the boundary-grid parameterization method, which defines the layout of any wind farm with only five variables, allowing people to study and design wind farms regardless of the size.
When designing a wind farm, one crucial step is finding the correct location, or optimizing, the...
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