3.2.1 Photovoltaic module technical data

The difference can be accounted to the simplicity of the transposition model used in our MATLAB routine; nevertheless the results are good enough for the purpose of

The load profile data was obtained from the National Monitoring Center (CNM) of the IPSE [22]. Table 2 shows the input data used to generate the daily load profile curve. Figure 4 shows the daily load profile for a week generated by a MATLAB

This subsection describes the technical inputs required by the photovoltaic, diesel, and battery model employed in the optimization model developed in this

Hour Power [%] Uncertainty factor [%] Hour Power [%] Uncertainty factor [%]

Yearly average daily energy demand [kWh], EAV, day 520.5

h αpower αunc h αpower αunc 7.78 10 12 0.96 10 7.68 10 13 2.88 10 7.40 10 14 5.67 10 7.20 10 15 5.86 10 6.34 10 16 3.75 10 1.15 10 17 1.54 10 0.00 0 18 0.96 10 0.00 0 19 6.24 10 0.00 0 20 8.65 10 0.00 0 21 8.65 10 10 0.00 0 22 8.65 10 11 0.38 10 23 8.26 10

this work.

work.

Table 2.

Figure 4.

196

Daily load profile for "Santa Cruz del Islote" July 2018.

Daily load profile for a week generated for "Santa Cruz del Islote."

routine developed in this work.

Wind Solar Hybrid Renewable Energy System

3.2 Technical inputs

A monocrystalline PV module of 300 Wp, reference JKM300M-60, from the company JINKO SOLAR, is used. Table 3 shows the technical characteristics of the PV module selected. The cost per Wp installed presented in Table 3 includes other costs not related to the price of the PV modules as the cost of charge controller, the PV inverters, and the mounting structure. Also this price includes indirect cost associated to the PV installation as engineering study costs, logistic costs, and certification costs. The cost per Wp presented is taken as reference and is provided by experts consulted in companies of energy sector.
