The present work aims to improve the power and the conversion efficiency of solar cells, using the PC1D simulator, to study the performances of the solar cells based on (InGaN). The paper focuses first on optimization of the technological and geometrical parameters such as doping and the thickness of the layers to investigate their influence on the conversion efficiency of these structures. Then, the paper evaluates the efficiency η for the solar cell with and without Anti-reflection coating ARC on textured surfaces to achieve a final increase of 22.5% of conversion efficiency compared to InGaN standard solar cells.
The heterojunction (HJ) solar cell is one of the best possible options to upgrade the conventional single homo-junction c-Si solar cell. In this work, a single HJ solar cell based on crystalline silicon (c-Si) wafer with zinc oxide (ZnO) is designed to reduce the loss of power conversion owing to the reflection of incident photons by the top surface of silicon. A PC1D simulation is used to evaluate the optimum numerical value of key photovoltaic parameters for HJ-based c-Si solar cells. The average reflectance for ZnO/Si HJ-based c-Si is 7.65% in the wavelength range of 400-1000 nm. The highest efficiency (η = 24.8%) of the ZnO/Si HJ-based c-Si solar is obtained with a 400 μm base thickness, 20 μm emitter thickness, doping concentration of 1.1 × 10 17 cm −3 in the base and a doping concentration of 5.1 x 10 16 cm −3 in the emitter. The proposed ZnO/ Si HJ-based c-Si solar cell with high efficiency would be one of the best possible alternative HJ device to the conventional single homo-junction c-Si solar cell.
The total monthly average of daily radiation on a horizontal surface at the site of Oran (35.38 deg N, 0.37 deg W) is achieved by applying two models. We present a comparison between the first one which is a regression equation of the Angstrom type and the second model, developed by the present authors: Some modifications were recommended using relative humidity as the input meteorological parameter) and longitude, latitude, and altitude as the astronomical parameters. The process of examining similarities is made using root mean square error (RMSE), the mean bias error (MBE), mean absolute error (MAE), and mean absolute percentage error (MAPE). This comparison shows that the second model is closer to the experimental values of the Angstrom model.
This article describes the design and the realization of an automatic recording device for measurements and controls of multiple physical parameters, in order to manage and monitor a mini central photovoltaic (PV) electricity. It is based on an 8-bit microcontroller, a PIC16F716, which is the lowest cost in the midrange portfolio from Microchip. The automatic recording device (or datalogger) measures the following parameters: the current sourced by a set of PV panels to solar batteries, the voltage across these batteries, the internal and the external temperatures, through a 4 channel multiplexed 8-bit analog–digital converter (ADC) integrated module. This datalogger is clocked with a real time clock and calendar (RTCC), which controls also the periodic measurements. These are stored in an external 8 kB flash electrically erasable/programable read-only memory (EEPROM), a 24LC64, using the I2C protocol, which allows us to easily increase the storage capacity by adding, if necessary, in parallel, up to eight external flash EEPROM.
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