A Numerical-Analytical Hybrid Approach for the Identification of SDM Solar Cell Unknown Parameters

Appropriate modeling and accurate parameter identification of solar cells are crucial in the optimization of photovoltaic (PV) systems. The single-diode model (SDM), consisting of an ideal current source, an ideal diode, a shunt resistor and a series resistor, is widely used to simulate the behavior of PV cells/panels. In this article, a hybrid approach for identification of solar cell SDM parameters is presented. This approach uses the inverse of the slope of the I-V curve under short-circuit and open-circuit conditions and combines numerical and analytical solutions. Indeed, knowing that numerical methods require appropriate initial values, the main idea of the proposed approach is to provide these solutions by analytical methods. The comparison of obtained results with experimental ones, based on manufacturer’s datasheet, proves that the algorithm thus obtained requires less information from the manufacturer and improves significantly the parameter identification accuracy

Affordable dye sensitizer by waste

Abstract The development of dye sensitizer is growing in line with the increasing demand for renewable energy. A research to obtain a dye sensitizer that is economical, safe, and produces a great value of DSSC efficiency is a challenge unresolved. On the other hand, the efforts for waste reduction are also intensively conducted to create better environment. In this paper, the variation of synthetic dye wastes from batik industries have been successfully applied as dye sensitizer and fabricated on DSSC cells. Congo red (1.0133%) yielded higher efficiency than rhodamine B (0.0126%), methyl orange (0.7560%), and naphthol blue black (0.0083%). The divergence of the efficiency of DSSC is very dependent upon the chromophore group owned by dye. This study has proven that the more chromophore group possessed by dye, the higher the efficiency of DSSC generated. This research concludes that the dye wastes have a bright future to be implemented as dye sensitizer on solar cells

Characterization of spectral features of cavity modes in one-dimensional graphene-based photonic crystal structures

In this study, a numerical approach based on the transfer-matrix method (TMM) is employed to investigate, the optical features of an ultra-high-quality factor (Q-factor). The cavity is formed by incorporating a defect layer in a one-dimensional graphene photonic crystal (1D-GPC) structure. The cavity modes are identified, and the dependency of their spectral characteristics on the opto-geometrical parameters of the structure and the chemical potential ($$\mu _{\mathrm{C}})$$ of graphene are investigated in detail. Our simulation results indicate that a tunable ultra-high Q-factor is attainable with the proposed cavity device. It is shown that the eigenfrequencies of the cavity modes vary in similar way versus the considered parameters. While, their Q-factors exhibit some differences in their changes with the thicknesses of the material layers. We have also noticed that the proposed cavity exhibits a cavity mode whose Q-factor increases exponentially with the number of layers in the distributed Bragg reflectors and with the graphene chemical potential. The observed tunable features of such kind of high Q-factor cavity make it an ideal candidate for the realization of ultrasmall tunable narrowband filters, sensing devices, and low-threshold lasers