Aesthetic local search of wind farm layouts
| dc.contributor.author | Mayo, Michael | en_NZ |
| dc.contributor.author | Daoud, Maisa | en_NZ |
| dc.date.accessioned | 2017-04-27T02:31:49Z | |
| dc.date.available | 2017 | en_NZ |
| dc.date.available | 2017-04-27T02:31:49Z | |
| dc.date.issued | 2017 | en_NZ |
| dc.description.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 the 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 which measures mathematically the degree of visual impact of a layout. The approach draws 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. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | Mayo, M., & Daoud, M. (2017). Aesthetic local search of wind farm layouts. Information, 8(2), 39–57. https://doi.org/10.3390/info8020039 | en |
| dc.identifier.doi | 10.3390/info8020039 | en_NZ |
| dc.identifier.eissn | 2078-2489 | en_NZ |
| dc.identifier.uri | https://hdl.handle.net/10289/11017 | |
| dc.language.iso | en | |
| dc.publisher | MDPI | |
| dc.relation.isPartOf | Information | en_NZ |
| dc.rights | © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | |
| dc.subject | wind farm layout optimisation | |
| dc.subject | BlockCopy | |
| dc.subject | turbine displacement algorithm | |
| dc.subject | pattern metrics | |
| dc.subject | harmony | |
| dc.subject | computer science | |
| dc.subject | Machine learning | |
| dc.title | Aesthetic local search of wind farm layouts | en_NZ |
| dc.type | Journal Article | |
| dspace.entity.type | Publication | |
| pubs.begin-page | 39 | |
| pubs.end-page | 57 | |
| pubs.issue | 2 | en_NZ |
| pubs.publication-status | Published online | en_NZ |
| pubs.volume | 8 | en_NZ |
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