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Quantifying Africa’s offshore wind energy potential using Multi-Criteria Decision Assessment

Quantifying Africa’s offshore wind energy potential using Multi-Criteria Decision Assessment
Quantifying Africa’s offshore wind energy potential using Multi-Criteria Decision Assessment

Global wind energy electrical power generation is expanding exponentially. It is a fundamental building block for decarbonising the energy supply to achieve net-zero carbon targets, as well as the sustainable development goals. Hence, quantifying the power generation from wind resources is of global interest. This research addresses the latter, focusing on the offshore wind potential for the African continent. A methodology based on the representative cost ratio (RCR) combined with fuzzy multi-criteria decision-making analysis, using appropriately selected criteria (wind speed, water depth, proximity to grid, etc), was used to arrive at the potential for offshore wind in Africa. The method was validated by predicting the large offshore wind development in China and the UK. The most suitable locations for offshore wind energy around Africa were identified. The results showed that the shallow water offshore wind potential is limited (∼85 GW), restricting it to the use of depth-restrained seabed-fixed turbines. At greater depths, the wind resource can result in over 6665 GW of installed capacity, promoting exploitation through floating offshore wind turbine technologies. Such a continental-scale deployment will address energy access, create growth and employment, whilst reducing Africa’s dependence on fossil fuel imports.

Africa, AHP, MCDA, Offshore wind energy, Renewable energy, Representative Cost Ratio (RCR)
2213-1388
Bahaj, Abu Bakr S.
a64074cc-2b6e-43df-adac-a8437e7f1b37
Mahdy, Mostafa
9e2c23e6-a70e-43a0-bfda-626ba4ff4f85
Bahaj, Abu Bakr S.
a64074cc-2b6e-43df-adac-a8437e7f1b37
Mahdy, Mostafa
9e2c23e6-a70e-43a0-bfda-626ba4ff4f85

Bahaj, Abu Bakr S. and Mahdy, Mostafa (2026) Quantifying Africa’s offshore wind energy potential using Multi-Criteria Decision Assessment. Sustainable Energy Technologies and Assessments, 86, [104749]. (doi:10.1016/j.seta.2025.104749).

Record type: Article

Abstract

Global wind energy electrical power generation is expanding exponentially. It is a fundamental building block for decarbonising the energy supply to achieve net-zero carbon targets, as well as the sustainable development goals. Hence, quantifying the power generation from wind resources is of global interest. This research addresses the latter, focusing on the offshore wind potential for the African continent. A methodology based on the representative cost ratio (RCR) combined with fuzzy multi-criteria decision-making analysis, using appropriately selected criteria (wind speed, water depth, proximity to grid, etc), was used to arrive at the potential for offshore wind in Africa. The method was validated by predicting the large offshore wind development in China and the UK. The most suitable locations for offshore wind energy around Africa were identified. The results showed that the shallow water offshore wind potential is limited (∼85 GW), restricting it to the use of depth-restrained seabed-fixed turbines. At greater depths, the wind resource can result in over 6665 GW of installed capacity, promoting exploitation through floating offshore wind turbine technologies. Such a continental-scale deployment will address energy access, create growth and employment, whilst reducing Africa’s dependence on fossil fuel imports.

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Accepted/In Press date: 1 December 2025
e-pub ahead of print date: 2 February 2026
Published date: 2 February 2026
Keywords: Africa, AHP, MCDA, Offshore wind energy, Renewable energy, Representative Cost Ratio (RCR)

Identifiers

Local EPrints ID: 511171
URI: http://eprints.soton.ac.uk/id/eprint/511171
ISSN: 2213-1388
PURE UUID: bf04b0a5-22dc-441b-9d87-632bd6248ff6
ORCID for Abu Bakr 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: 05 May 2026 17:25
Last modified: 06 May 2026 01:58

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Author: Mostafa Mahdy ORCID iD

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