Techno-economic optimization of a hybrid renewable microgrid for electric vehicle charging: A comparative study in Egypt and Türkiye
Yazarlar (5)
Ahmad F. Tazay
Al Baha University, Suudi Arabistan
Al Baha University, Suudi Arabistan
Shimaa Barakat
Beni-Suef University, Mısır
Beni-Suef University, Mısır
Doç. Dr. Aykut Fatih GÜVEN Yalova Üniversitesi, Türkiye
Heba I. Elkhouly
Beni-Suef University, Mısır
Beni-Suef University, Mısır
Mohamedmahmoud Samy
Beni-Suef University, Mısır
Beni-Suef University, Mısır
| Makale Türü |
Özgün Makale
(ESCI dergilerinde yayınlanan tam makale)
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| Dergi Adı | Results in Engineering | ||
| Dergi ISSN | 2590-1230 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | Scopus | ||
| Makale Dili | İngilizce | Basım Tarihi | 06-2026 |
| Cilt / Sayı / Sayfa | 30 / 1 / 1–28 | DOI | 10.1016/j.rineng.2026.109938 |
| Makale Linki | https://doi.org/10.1016/j.rineng.2026.109938 | ||
| UAK Araştırma Alanları |
Akıllı Elektrik Şebekeleri
Yenilenebilir Enerji Sistemleri
Yapay Zeka
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| Özet |
| The rapid electrification of transport demands EV charging stations supplied by clean, reliable power. This paper presents an optimal sizing framework for an off-grid hybrid renewable microgrid combining photovoltaic arrays, wind turbines, battery energy storage (BESS), and hydrogen energy storage (HESS) to achieve zero loss of power supply probability (LPSP = 0). A four-objective Indicator-Based Evolutionary Algorithm (IBEA) is used to minimize levelized cost of energy (LCOE), curtailment ratio (CR), and LPSP while maximizing renewable fraction (RF). The method is tested in two locations: Attaka, Suez Governorate (Egypt) and Yalova Province (Türkiye), quantifying how climate and finance affect sizing and cost. Türkiye attains a lower LCOE of $0.0173/kWh with RF = 53.03% and CR = 17.11%, versus Egypt's $0.0261/kWh, RF = 50.35%, and CR = 27.67%—a 51.3% cost advantage driven by … |
| Anahtar Kelimeler |
| Comparative case study | Electric vehicle charging | Energy storage systems | Hybrid renewable energy microgrid | Multi-objective optimization |
Science Direct
Techno-economic optimization of a hybrid renewable microgrid for electric vehicle charging: A comparative study in Egypt and Türkiye
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları |