The most economical design of hybrid PV Wind Battery Diesel generator energy system considering various number of design parameters based on genetic algorithm
Other Title(s)
التصميم الاقتصادي الأمثل لنظام الطاقة الهجين (خلايا شمسية-توربينات رياح) باستخدام التقنية الخوارزمية
Joint Authors
Ahmad, Islam Muhammad
al-Barawi, Minah Allah Mahmud
Ibrahim, Khalid Husni
Source
Fayoum University Journal of Engineering
Issue
Vol. 4, Issue 1 (30 Jun. 2021), pp.191-206, 16 p.
Publisher
Fayoum University Faculty of Engineering
Publication Date
2021-06-30
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Topics
- Renewable energy sources
- Wind power
- Solar radiation
- Electrical generators
- Diesel motors
- Wind turbines
- Hybrid power
Abstract EN
The optimal sizing of a hybrid energy system may be a difficult undertaking problem, because of the huge number of structure settings and the irregular nature of solar radiation and wind power sources.
This issue has a place with the classification of combinatorial enhancement, and its solution dependent on the classical technique may be a waste of time.
This paper proposes a Genetic Algorithm (GA) methodology to find the optimal sizing of a hybrid Photovoltaic, Wind Turbine, Battery Storage, and Diesel Generators (PV/WT/BA/DG) energy system based on the number of PV modules, the number of wind turbines, the number of batteries, the number of diesel generators, the slope angle of PV panel and a hub height of wind turbine as the design parameters and study its effect on the Levelized Cost of Energy (LCOE).
The proposed method aims to minimize the LCOE with high reliability of load supplying by increasing the design variables gradually.
The proposed method will be tested at different sites with various metrological data to ensure its robustness.
The results show that the LCOE decreases as the design parameters increase, also that the average wind-speed is inversely proportional to the LCOE of the site under study.
American Psychological Association (APA)
Ahmad, Islam Muhammad& al-Barawi, Minah Allah Mahmud& Ibrahim, Khalid Husni. 2021. The most economical design of hybrid PV Wind Battery Diesel generator energy system considering various number of design parameters based on genetic algorithm. Fayoum University Journal of Engineering،Vol. 4, no. 1, pp.191-206.
https://search.emarefa.net/detail/BIM-1370796
Modern Language Association (MLA)
Ahmad, Islam Muhammad…[et al.]. The most economical design of hybrid PV Wind Battery Diesel generator energy system considering various number of design parameters based on genetic algorithm. Fayoum University Journal of Engineering Vol. 4, no. 1 (2021), pp.191-206.
https://search.emarefa.net/detail/BIM-1370796
American Medical Association (AMA)
Ahmad, Islam Muhammad& al-Barawi, Minah Allah Mahmud& Ibrahim, Khalid Husni. The most economical design of hybrid PV Wind Battery Diesel generator energy system considering various number of design parameters based on genetic algorithm. Fayoum University Journal of Engineering. 2021. Vol. 4, no. 1, pp.191-206.
https://search.emarefa.net/detail/BIM-1370796
Data Type
Journal Articles
Language
English
Notes
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Record ID
BIM-1370796