Design optimization of a stand-alone green energy system of university campus based on Jaya-Harmony Search and Ant Colony Optimization algorithms approaches
Yazarlar (3)
Doç. Dr. Aykut Fatih GÜVEN Yalova Üniversitesi, Türkiye
Nuran Yörükeren Kocaeli Üniversitesi, Türkiye
Mohamed Mahmoud Samy
Beni-Suef University, Mısır
Beni-Suef University, Mısır
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Energy (Q1) | ||
| Dergi ISSN | 0360-5442 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2022 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-08-2022 |
| Cilt / Sayı / Sayfa | 253 / 1 / 1–15 | DOI | 10.1016/j.energy.2022.124089 |
| Makale Linki | http://dx.doi.org/10.1016/j.energy.2022.124089 | ||
| Özet |
| The use of renewable energy resources in the production of electrical energy is becoming prevalent due to the decreasing installation costs of these resources and increasing environmental concerns. A Hybrid Renewable Energy System (HRES) is beneficial for meeting load demands, but optimal sizing is the main problem in the process of obtaining a cost-efficient system based on certain load demands and techno-economic parameters. In this article, the Harmony Search (HS) algorithm was used for the optimal sizing of components and compared to other methods. The HRESs consisted of photovoltaic (PV), wind turbine, battery, diesel generator and inverter components. A powerful rule-based energy management scheme was introduced to manage the power flow between system parts which constitute the microgrid that will minimize the annual system cost and reliably meet the energy demand. The decision … |
| Anahtar Kelimeler |
| Ant colony Optimizer algorithms | Energy management | Harmony Search algorithms | Jaya algorithms | Techno-economic optimization |
Science Direct
Design optimization of a stand-alone green energy system of university campus based on Jaya-Harmony Search and Ant Colony Optimization algorithms approaches
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 401 |
| Scopus | 234 |