Search

In this work, an assessment on the variation of intrinsic parameters of a monocrystalline silicon photovoltaic (PV) module is carried out under varied temperature and irradiance, aiming at establishing some mathematical functions that are well describing these changes. The accurate Brent’s algorithm-based method is utilized to determine the parameters of the PV module. Then, the derived equations that correlate each parameter with the environmental factors were used to simulate current–voltage (I–V) characteristics at specific temperature and irradiance. This simulation result was compared to the datasheet I–V to show the robustness of the determined parameters. It was concluded that the change in parameters of the PV module is in good agreement with that of the polycrystalline solar cells, especially at low temperature and high irradiance. The parameters-related formulas were found to be very useful in simulating the I–V response of PV panels at desired temperature and irradiance.

The effect of illumination energy on the electrical parameters of a monocrystalline silicon solar module was investigated and results used to reveal the effective spectrum which can help in generating the optimum power and photovoltaic effect. The current-voltage (I-V) characteristics of the device were measured under different illumination energies. Results showed that the ideality factor (n), series resistance (Rs) and saturation current (Io) are mostly dependent on the illumination energy, while the shunt resistance (Rsh) and photocurrent (Iph) are illumination intensity-dependent. The increase in illumination energy led to decrease in the series resistance but increase in the saturation current and ideality factor. On the other hand, the increase in illumination intensity resulted in increasing the shunt resistance and open circuit voltage. The study is important to understand the effective solar spectrum in producing the optimum photovoltaic performance, which can be also useful to interpret the photodetectors and photodiodes response to a specific spectrum.