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

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Oct 2020Publisher:Institute of Advanced Engineering and ScienceJournal:International Journal of Electrical and Computer Engineering (IJECE), volume 10, page 4,507 (issn: 2088-8708, eissn: 2722-2578,

Authors: Arunachalam Sundaram; Abdullahi Abubakar Mas'ud; Hassan Z. Al Garni; Surajudeen Adewusi;

doi: 10.11591/ijece.v10i5.pp4507-4513

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

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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.

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Keywords

Modeling of wind turbines, Renewable energy, Homer, Economical analysis, Wind energy

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