Multi-objective techno-economic and environmental optimization of hydrogen-based hybrid renewable energy system using osprey optimization algorithm
 
Yazarlar (3)
Dr. Öğr. Üyesi Salih ERMİŞ Kırşehir Ahi Evran Üniversitesi, Türkiye
Dr. Öğr. Üyesi Oğuz TAŞDEMİR Kırşehir Ahi Evran Üniversitesi, Türkiye
Rami Al-Hajj
American University of The Middle East, Kuveyt
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Scientific Reports (SCIE-Q1) (Q1)
Dergi ISSN 2045-2322 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 04-2026
Cilt / Sayı / Sayfa 16 / 1 / – DOI 10.1038/s41598-026-45185-x
Makale Linki https://doi.org/10.1038/s41598-026-45185-x
UAK Araştırma Alanları
Yapay Zeka Yenilenebilir Enerji Sistemleri Elektrik Tesisleri
Özet
The intermittent nature of renewable energy sources poses significant challenges for continuous power supply, necessitating the integration of robust energy storage and optimization systems. While hybrid renewable energy systems (HRES) offer a sustainable solution, achieving an optimal sizing that simultaneously minimizes economic costs and health-damaging carbon emissions remains a complex nonlinear challenge. This study proposes a comprehensive multi-objective optimization framework for a grid-connected HRES integrating photovoltaic (PV), wind turbine (WT), fuel cell (FC), electrolyzer, and hydrogen storage components. The Osprey Optimization Algorithm (OOA) is applied to optimize system sizing and power management. The primary objectives are to concurrently minimize the Cost of Energy (COE) and the Human Health Damage (HHD) due to lifecycle emissions, while ensuring strict system ...
Anahtar Kelimeler
Environmental sustainability | Hybrid renewable energy system | Hydrogen energy | Osprey optimization algorithm | Techno-economic analysis