Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseОткрытый API экосистемы
Статья

Optimal sizing of PV/wind/diesel generator/battery hybrid system for supplying electrical vehicle charging station under different load demands in Saudi Arabia

Ali BasemWarith Al-Anbiyaa University Faculty of Engineering, Air Conditioning Engineering Department, , Karbala 56001,Z. M. S. ElbarbaryKing Khalid University Electrical Engineering Department, College of Engineering, Al Qarah Campus, , Guraiger, Abha 61411,Farruh AtamurotovNational Research University TIIAME Information Technology Department, , Kori Niyoziy 39, Tashkent 100000,Iroda AbdullayevaTashkent State University of Economics Department of Digital Economy, , Tashkent 100066,Anvar ReyimberganovUrgench State University Faculty of Physics and Mathematics, , Urgench 220100,Natei Ermias BentiAddis Ababa University Computational data science program, College of Computational and Natural Science, , P.O. Box 1176, Addis Ababa
ABI

Аннотация

Abstract Knowing the effect of different load distributions on the optimized sizes of the hybrid renewable energy systems (HRES) and the fixed price of Electric Vehicle (EV) charging station can be useful to potential investors in this sector. Additionally, the amount of CO2 emission under different load demands can help decision-makers in the installation of environmentally friendly EV charging stations. Investigation of fixed prices of installing power stations under different load demands leads to know whether electricity sell prices, and serves by the station owners are economically or not. This would also lead to give a reliable and economical plan to customers by station owners, where both time of arrival and charging prices have a pivotal role. Unlike previous similar studies that mostly consider one type of load demand, this study investigates the optimized HRESs including Photovoltaic panel (PV), Wind Turbine (WT), Diesel Generator (DG), and Battery (Bat) under five different proposed load demands (as electricity serving plans), reaching to the best economic, environmental, and space optimality systems. Three main sensitivity analyses upon the capacity shortage/inflation rate, capital cost of PV/WT, and solar global horizontal irradiation (GHI)/wind speed show the effect of changing the mentioned parameters on the economic, environment, and optimized systems’ sizes. It is observed that increase in the solar radiation and/or wind speed leads to reduction in the optimal size of designed systems.

Перевод пока недоступен

Темы

Идентификаторы

Цитирования и источники

Показатели — AkademScholar · Скоро