go to top scroll for more

Optimisation of Offshore Wind Farms Using a Genetic Algorithm

This resource links to a document we hold in our system

Abstract:

A modular framework for the optimisation of an offshore wind farm using a discrete genetic algorithm is presented. This approach uses a bespoke grid generation algorithm to define the discrete positions that turbines may occupy, thereby implicitly satisfying navigational and search and rescue constraints through the wind farm. The presented methodology takes a holistic approach, optimising both the turbine placement and intra-array cable network while minimising the levelised cost of energy and satisfying real-world constraints. This tool therefore integrates models for the assessment of the energy production including wake losses, the optimisation of the intra-array cables, and the estimation of the costs of the project over the lifetime. This framework will allow alternate approaches to wake and cost modelling as well as optimisation to be benchmarked in the futuref the costs of the project over the lifetime. This framework will allow alternate approaches to wake and cost modelling as well as optimisation to be benchmarked in the future.

This work was partly funded via IDCORE, the Industrial Doctorate Centre for Offshore Renewable Energy, which trains research engineers whose work in conjunction with sponsoring companies aims to accelerate the deployment of offshore wind, wave and tidal-current technologies

Publication Year:

2015

Publisher:

Proceedings of the Twenty-fifth (2015) International Offshore and Polar Engineering Conference, Kona, Big Island, Hawaii, June 21-26 2015

Author(s):

Pillai, A.C.,Chick, J., Johanning, L., Khorasanchi, M. and Pelissier, S.

Language:

English

File Type:

application/pdf

File Size:

1066504 B

Rights:

Energy Technologies Institute Open Licence for Materials

Rights Overview:

The Energy Technologies Institute is making this document available to use under the Energy Technologies Institute Open Licence for Materials. Please refer to the Energy Technologies Institute website for the terms and conditions of this licence. The Information is licensed "as is" and the Energy Technologies Institute excludes all representations, warranties, obligations and liabilities in relation to the Information to the maximum extent permitted by law. The Energy Technologies Institute is not liable for any errors or omissions in the Information and shall not be liable for any loss, injury or damage of any kind caused by its use. This exclusion of liability includes, but is not limited to, any direct, indirect, special, incidental, consequential, punitive, or exemplary damages in each case such as loss of revenue, data, anticipated profits, and lost business. The Energy Technologies Institute does not guarantee the continued supply of the Information. Notwithstanding any statement to the contrary contained on the face of this document, the Energy Technologies Institute confirms that it has the right to publish this document.

Further information:

N/A

Region:

United Kingdom

Publication Type:

Technical Report

Subject:

Modelling

Theme(s):

Offshore Wind