Towards the evolution of vertical-axis wind turbines using supershapes

Preen, R. and Bull, L. (2014) Towards the evolution of vertical-axis wind turbines using supershapes. Evolutionary Intelligence, 7 (3). pp. 155-167. ISSN 1864-5909 Available from:

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We have recently presented an initial study of evolutionary algorithms used to design vertical-axis wind turbines (VAWTs) wherein candidate prototypes are evaluated under fan generated wind conditions after being physically instantiated by a 3D printer. That is, unlike other approaches such as computational fluid dynamics simulations, no mathematical formulations are used and no model assumptions are made. However, the representation used significantly restricted the range of morphologies explored. In this paper, we present initial explorations into the use of a simple generative encoding, known as Gielis superformula, that produces a highly flexible 3D shape representation to design VAWT. First, the target-based evolution of 3D artefacts is investigated and subsequently initial design experiments are performed wherein each VAWT candidate is physically instantiated and evaluated under fan generated wind conditions. It is shown possible to produce very closely matching designs of a number of 3D objects through the evolution of supershapes produced by Gielis superformula. Moreover, it is shown possible to use artificial physical evolution to identify novel and increasingly efficient supershape VAWT designs.

Item Type:Article
Uncontrolled Keywords:computational geometry, evolutionary algorithms, superformula, 3D printers, wind energy
Faculty/Department:Faculty of Environment and Technology > Department of Computer Science and Creative Technologies
ID Code:25799
Deposited By: Dr R. Preen
Deposited On:22 Jun 2015 08:16
Last Modified:15 Nov 2016 18:14

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