Operating power estimation by using the module short circuit current and open circuit voltage

Photovoltaic (PV) generates the electrical output power when it exposes the sunlight. Power loss is occurred such in the case of dust accumulation on a PV module. Methods for observing light transmission loss usually utilize measured short circuit current (I_sc) of a module/cell. In this research, we focus on the output power (P_o), which was predicted using a module I_sc because the power and energy output are mainly interested in PV modules/systems. The current-voltage (I-V) parameters of the mono-crystalline silicon PV module were measured from the module that it is monitored the dust accumulation. Therefore, we used it to predict the Po by using a multi-regression function. The indoor measurement data (I-V parameters), temperature (T) coefficients and four irradiance (G) levels, were used for T and G dependence regression calculation. We also verified by using the simulation data of T and G dependences of the I_sc, open-circuit voltage (V_oc), and P_o, using a single diode model.  The results show that the P_o predictions, using multi-regression of T, I_sc, and V_oc, are precise. The results were compared with both the experimental and simulated results. The residuals were shown about between -1.8% and 0.8% compared with experimental P_o and about between -1.5% and 0.1% compared with the simulation results P_o. The relation between predicted P_o and experimental P_o is shown in figure 1 (a), and the relation between predicted P_o and simulated P_o is shown in figure 1 (b). Therefore, this method is expected to apply to the PV modules/systems power output prediction.