Loughney, S
ORCID: 0000-0003-0217-5739, Wang, J
ORCID: 0000-0003-4646-9106, Bashir, M
ORCID: 0000-0002-4331-4275, Armin, M and Yang, Y
(2020)
Application of a multiple-attribute decision-analysis methodology for site selection of floating offshore wind farms off the West coast of Ireland.
In: Soares, CG, (ed.)
Developments in Renewable Energies Offshore: Proceedings of the 4th International Conference on Renewable Energies Offshore (RENEW 2020, 12 - 15 October 2020, Lisbon, Portugal).
Proceedings in Marine Technology and Ocean Engineering, 7
.
Taylor & Francis, pp. 389-398.
ISBN 9781003134572
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Abstract
This research presents the application of multi-attribute decision-analysis methodology for selection the most suitable sites in a region off the West coast of Ireland. A large area off the West Irish coast is defined and separated into coordinate grids. The environmental, wind potential and facilities factors are first analyzed in order to remove sites that fall within restricted areas. Following this, data is gathered for the remaining sites in terms of a set of logistic, facilities & environmental, and met-ocean criteria. The logistical criteria consist of such factors as, depth, distance to ports and distance to substations. The met-ocean criteria provide a data analysis of the wind, wave, tidal and current conditions of each site between 2011 and 2016, and the facilities & environmental criteria analyses the proximity of the sites to such criteria as Marine Protected Areas and Special Areas of Conservation. The compiled data is then applied to a Multiple Attribute Decision-Analysis (MADA) algorithm which aggregates the data for each site and produces a utility ranking in order to determine the most suitable site for floating offshore wind. Validation is conducted through benchmark testing.
| Item Type: | Book Section |
|---|---|
| Additional Information: | This is the accepted version published in Carlos, G.S. (Ed.). (2020). Developments in Renewable Energies Offshore: Proceedings of the 4th International Conference on Renewable Energies Offshore (RENEW 2020, 12 - 15 October 2020, Lisbon, Portugal) (1st ed.). CRC Press. https://doi.org/10.1201/9781003134572 |
| Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences T Technology > T Technology (General) |
| Divisions: | Engineering |
| Publisher: | Taylor & Francis |
| Date of acceptance: | 1 April 2020 |
| Date of first compliant Open Access: | 27 April 2026 |
| Date Deposited: | 27 Apr 2026 14:00 |
| Last Modified: | 27 Apr 2026 14:00 |
| DOI or ID number: | 10.1201/9781003134572 |
| Editors: | Soares, CG |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/28478 |
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