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New approach to determine the Importance Index for developing offshore wind energy potential sites: supported by UK and Arabian Peninsula case studies

New approach to determine the Importance Index for developing offshore wind energy potential sites: supported by UK and Arabian Peninsula case studies
New approach to determine the Importance Index for developing offshore wind energy potential sites: supported by UK and Arabian Peninsula case studies
A multi-criteria decision-making analysis linked to a Geographical Information System was developed to solve the spatial siting for offshore wind farms taking into account appropriate conflicting factors/constraints. A new approach is presented to solve the conflicting factors by determining the Importance Index (I) for offshore wind farms. This is based on a newly defined parameter Representative Cost Ratio (RCR) facilitating the comparison process. The method compares factor pairs and overcomes the issue where the evaluation of “alternatives” and “criteria”, conducted by a number of experts result in reduced accuracy, coherence, and making the process time-consuming. The approach is tested through two case studies (i) UK deployed projects and (ii) determining the offshore wind energy potential around the Arabian Peninsula at scale. The presented method circumvents the literature-highlighted shortcomings with the advantage of considering all restrictions/constraints together at the start of the analysis, arriving at a signally combined Boolean Mask. RCR compares factor pairs to interpret the relationship between Importance Index scale (1–9) and its descriptors. Results from both case studies provided excellent outcomes, confirming the robustness of the RCR approach and its global applicability in addressing the spatial planning of offshore wind farms.
GIS/MCDA, Offshore wind, Offshore wind constraints, Representative cost ratio, Suitability maps, UK and Arabian Peninsula offshore wind areas
0960-1481
441-457
Bahaj, AbuBakr S.
a64074cc-2b6e-43df-adac-a8437e7f1b37
Mahdy, Mostafa
9e2c23e6-a70e-43a0-bfda-626ba4ff4f85
Alghamdi, Abdulsalam S.
5d897bf1-1817-4b5a-bf18-d9755a0c9455
Richards, David J.
29e5c0b3-29b2-46e6-ab24-a72e976a7199
Bahaj, AbuBakr S.
a64074cc-2b6e-43df-adac-a8437e7f1b37
Mahdy, Mostafa
9e2c23e6-a70e-43a0-bfda-626ba4ff4f85
Alghamdi, Abdulsalam S.
5d897bf1-1817-4b5a-bf18-d9755a0c9455
Richards, David J.
29e5c0b3-29b2-46e6-ab24-a72e976a7199

Bahaj, AbuBakr S., Mahdy, Mostafa, Alghamdi, Abdulsalam S. and Richards, David J. (2020) New approach to determine the Importance Index for developing offshore wind energy potential sites: supported by UK and Arabian Peninsula case studies. Renewable Energy, 152, 441-457. (doi:10.1016/j.renene.2019.12.070).

Record type: Article

Abstract

A multi-criteria decision-making analysis linked to a Geographical Information System was developed to solve the spatial siting for offshore wind farms taking into account appropriate conflicting factors/constraints. A new approach is presented to solve the conflicting factors by determining the Importance Index (I) for offshore wind farms. This is based on a newly defined parameter Representative Cost Ratio (RCR) facilitating the comparison process. The method compares factor pairs and overcomes the issue where the evaluation of “alternatives” and “criteria”, conducted by a number of experts result in reduced accuracy, coherence, and making the process time-consuming. The approach is tested through two case studies (i) UK deployed projects and (ii) determining the offshore wind energy potential around the Arabian Peninsula at scale. The presented method circumvents the literature-highlighted shortcomings with the advantage of considering all restrictions/constraints together at the start of the analysis, arriving at a signally combined Boolean Mask. RCR compares factor pairs to interpret the relationship between Importance Index scale (1–9) and its descriptors. Results from both case studies provided excellent outcomes, confirming the robustness of the RCR approach and its global applicability in addressing the spatial planning of offshore wind farms.

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More information

Accepted/In Press date: 14 December 2019
e-pub ahead of print date: 18 December 2019
Published date: June 2020
Keywords: GIS/MCDA, Offshore wind, Offshore wind constraints, Representative cost ratio, Suitability maps, UK and Arabian Peninsula offshore wind areas

Identifiers

Local EPrints ID: 437987
URI: http://eprints.soton.ac.uk/id/eprint/437987
ISSN: 0960-1481
PURE UUID: 996e8ca2-1f9b-4b2c-b810-6a8751b31f88
ORCID for AbuBakr S. Bahaj: ORCID iD orcid.org/0000-0002-0043-6045
ORCID for Mostafa Mahdy: ORCID iD orcid.org/0000-0003-2006-870X

Catalogue record

Date deposited: 25 Feb 2020 17:31
Last modified: 23 Jul 2022 02:24

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Contributors

Author: Mostafa Mahdy ORCID iD
Author: Abdulsalam S. Alghamdi
Author: David J. Richards

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