| Makale Türü |
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| 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
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| 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 |
| Atıf Sayıları | |
| Google Scholar | 2 |
| Dergi Adı | Scientific Reports |
| Yayıncı | Nature Research |
| Açık Erişim | Evet |
| ISSN | 2045-2322 |
| E-ISSN | 2045-2322 |
| CiteScore | 6,7 |
| SJR | 0,874 |
| SNIP | 1,213 |