Melola Discovery

← Melola Discovery

Open access Jurnal SINTA 1

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

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 10 No. 5 (2020)

DOI
10.11591/ijece.v10i5.pp4507-4513
ISSN
2722-2578, 2088-8708
Published
2020-10-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

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.

Collaboration network of the authors

24 authors · 128 co-authorship links · 94 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • University of Technology Malaysia
  • Jubail Industrial College
  • Glasgow Caledonian University
  • Jubail University College
  • Robert Gordon University
  • Tun Hussein Onn University of Malaysia
  • University of Kuala Lumpur
  • Other organisations
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Nurul Aini BaniUniversity of Technology Malaysia4
Firdaus Muhammad‐SukkiRobert Gordon University4
Mohd Nabil MuhtazaruddinUniversity of Technology Malaysia4
Jasrul Jamani JamianUniversity of Technology Malaysia2
Z Abdul-MalekUniversity of Technology Malaysia2
Kamilia KamardinUniversity of Technology Malaysia2
Hamza AhmadTun Hussein Onn University of Malaysia2
Siti Hawa Abu-BakarUniversity of Kuala Lumpur2
Daria FreierGlasgow Caledonian University1
Roberto Ramírez-ÍñiguezGlasgow Caledonian University1
Tapas Kumar MallickUniversity of Exeter1
Abu Bakar MunirUniversity of Malaya1
Siti Hajar Mohd YasinUniversiti Teknologi MARA1
Siti Sarah Abu-BakarKing's College London1
Zulkurnain Abdul‐MalekUniversity of Technology Malaysia1
Siti Armiza Mohd ArisUniversity of Technology Malaysia1
Siti Zura A. JalilUniversity of Technology Malaysia1
Hazilah Mad KaidiUniversity of Technology Malaysia1
Sharipah Alwiah Syed Abd RahamanUniversity of Technology Malaysia1
Jorge Alfredo Ardila ReyUniversidad Técnica Federico Santa María1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Assessment of off-shore wind turbines for application in Saudi Arabia</dc:title><dc:creator>Sundaram, Arunachalam</dc:creator><dc:creator>Mas’ud, Abdullahi Abubakar</dc:creator><dc:creator>Al Garni, Hassan Z.</dc:creator><dc:creator>Adewusi, Surajudeen</dc:creator><dc:description>&lt;jats:p&gt;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.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2020-10-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v10i5.pp4507-4513</dc:identifier><dc:identifier>10.11591/ijece.v10i5.pp4507-4513</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 10 No 5 (2020); 4507</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/21990/14157</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>