Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review

A Simple and Inexpensive Method for Evaluating the Photovoltaic Potential: Its Validation in Buenos Aires and Antarctica

“…Osinowo et al [33] made a similar study analysis of GSR in Nigeria, the same as Coulibaly and Ouedraogo made in Burkina Faso [34]. Recently, Chin et al reviewed 70 important papers on PV models; they discussed the varying degree of trade-off between accuracy, speed, and technical convenience [35]. Salam et al made a technological and state-of-the-art review about advantages and limitations of soft computing techniques for maximum power point tracking of PV systems [36].…”

ANFIS-Based Modeling for Photovoltaic Characteristics Estimation

“…All the parameters inside the models need to be well determined, otherwise the accuracy of the models reduces [5]. A more complicated model normally results in more parameters in its mathematical formulations along with a higher computational complexity [1,11].…”

“…For a rapid and reliable photovoltaic (PV) system design, an efficient and accurate PV characteristics simulator is indispensable [1]. PV model is used for obtaining the current-voltage (I-V) or power-voltage (P-V) characteristics by the environmental data, such as solar irradiance and ambient temperature.…”

Model to Evaluate the Performance of Building Integrated Photovoltaic Systems using Matlab/Simulink

“…Where is the bandwidth energy (in this case for silicon), and Irs is the inverse saturation current at standard temperature given by: The leakage current is given by: (6) Where, (7) Where V is the output voltage of the cell and Rs is the series resistance that represents the ohmic losses in the contacts due to the metal-semiconductor junction. Finally the following expression for Ish is obtained as: (8) Modifying expression (1) with Equations (3) and (8) gives the equation of the simple diode model for the solar cell to be used for the final model:…”

“…Since the BIPV offers the possibility to replace part of the traditional building material, with a possible price reduction in comparison to a classic rooftop installation [4], [5], the correct estimation of system level performances, system reliability and system availability is becoming more important and popular among installers, integrators, investors and owners; with this purpose several tools and models were developed [6][7][8]. The combination of different phenomena, such as the solar radiation available on site, the presence of dust, the shadowing or UV radiation over long outdoor exposure, affect in different ways the performance of BIPV systems and thus the related economic evaluations [9][10][11].…”