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Assessment of off-shore wind turbines for application in Saudi Arabia

Sundaram, Arunachalam; Abubakar Mas’ud, Abdullahi; Al Garni, Hassan Z.; Adewusi, Surajudeen

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Authors

Abdullahi Abubakar Mas’ud

Hassan Z. Al Garni

Surajudeen Adewusi



Abstract

This paper presents models and economic analysis of ten different wind turbines for the region of Yanbu, Saudi Arabia using the hybrid optimization models for energy resources (HOMER) software. This study serves as a guide for decision makers to choose the most suitable wind turbine for Yanbu to meet the target of 58.7GW of renewable energy as part of Saudi Vision 2030. The analysis was carried out based on the turbines initial capital cost, operating cost, net present cost (NPC) and the levelized cost of energy (LCOE). Additionally, the wind turbines were compared based on their electricity production, excess energy and the size of the storage devices required. The results show that Enercon E-126 EP4 wind turbine has the least LCOE (0.0885 $/kWh) and NPC ($23.8), while WES 30 has the highest LCOE (0.142 $/kWh) and NPC ($38.3) for a typical load profile of a village in Yanbu.

Citation

Sundaram, A., Abubakar Mas’ud, A., Al Garni, H. Z., & Adewusi, S. (2020). Assessment of off-shore wind turbines for application in Saudi Arabia. International Journal of Electrical and Computer Engineering, 10(5), 4507-4513. https://doi.org/10.11591/ijece.v10i5.pp4507-4513

Journal Article Type Article
Acceptance Date Mar 24, 2020
Publication Date 2020
Deposit Date Jul 23, 2024
Publicly Available Date Jul 26, 2024
Journal International Journal of Electrical and Computer Engineering
Publisher Institute of Advanced Engineering and Science
Peer Reviewed Peer Reviewed
Volume 10
Issue 5
Pages 4507-4513
DOI https://doi.org/10.11591/ijece.v10i5.pp4507-4513
Keywords Renewable Energy