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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.
Basem et al. (Mon,) studied this question.