Performance analysis of autonomous green energy system based on multi and hybrid metaheuristic optimization approaches
Yazarlar (2)
Doç. Dr. Aykut Fatih GÜVEN Yalova Üniversitesi, Türkiye
Mohamedmahmoud Samy
Beni-Suef University, Mısır
Makale Türü Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Energy Conversion and Management (Q1)
Dergi ISSN 0196-8904 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 10-2022
Kabul Tarihi Yayınlanma Tarihi 01-10-2022
Cilt / Sayı / Sayfa 269 / 1 / 1–23 DOI 10.1016/j.enconman.2022.116058
Makale Linki http://dx.doi.org/10.1016/j.enconman.2022.116058
Özet
The need for energy is constantly increasing worldwide. It is expected that renewable energy resources and fuel cells, solid wastes, and hydrogen energy technologies will play a significant role in energy generation and storage with their decreasing installation costs and increasing environmental concerns. Hydrogen is a potential fuel used in fuel cells that provides a carbon-free solution. The research is based on the techno-economics of off-grid wind (WT), solar (PV), biomass gasifier (BG), and fuel cell (FC) systems, which include storing excess wind and solar energy by converting it to hydrogen to provide fuel cell energy. It is critical from the standpoint of feasibility. In addition to electricity generation, energy storage integration, sizing methodologies, energy flow management, and the optimization algorithms that go with them are all covered. The annual cost system (ACS) is the primary goal function of the …
Anahtar Kelimeler
Biomass gasifier | Energy management | Fuel cell | Hybrid Firefly Genetic Algorithm | Hydrogen storage system | Microgrid design