Aesthetic local search of wind farm layouts
- Published
- Accepted
- Subject Areas
- Artificial Intelligence
- Keywords
- wind farm layout optimisation, computational aesthetics, stochastic local search, blockcopy, harmony metric
- Copyright
- © 2017 Mayo et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2017. Aesthetic local search of wind farm layouts. PeerJ Preprints 5:e2864v1 https://doi.org/10.7287/peerj.preprints.2864v1
Abstract
The visual impact of wind farm layouts has seen little consideration in the literature on the wind farm layout optimisation problem to date. Most existing algorithms focus on optimising layouts for power or cost of energy alone. In this paper, we consider the geometry of wind farm layouts and whether it is possible to bi-optimise a layout for both energy efficiency and the degree of visual impact that the layout exhibits. We develop a novel optimisation approach for solving the problem, with our approach towards measuring mathematically the degree of visual impact drawing inspiration from the field of architecture. To evaluate our ideas, we demonstrate them on three benchmark problems for the wind farm layout optimisation problem in conjunction with two recently published stochastic local search algorithms. Optimal patterned layouts are shown to be very close in terms of energy efficiency to optimal non-patterned layouts.
Author Comment
This is a submission to PeerJ Computer Science for review.