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Shoewu, O , Anuforonini, G , Duduyemi, O (2016). Simulation of the Performance of CdTe/CdS/ZnO Multi- Junction Thin Film Solar Cell. Review of Information Engineering and Applications, 3(1): 1-10. DOI: 10.18488/journal.79/2016.3.1/18.104.22.168
Multi-junction solar cell layers containing CdTe/CdS/ZnO photovoltaic
cells were created using SCAP 1D software using parameters based on the
previous theoretical characterization to determine the significance
effect on the optimization in terms of efficiency on the solar cell.
The simulation of the models were carried out by varying the band gap
and thickness of the absorber layer and subsequently formulate model
equation using regression analysis to determine the efficiency and fill
factor at any given value. Result shows that increase in the thickness
of absorber layer increases fill factor, current density and open
voltage from 83.74- 84.77, 26.26 -28.85mA/cm2, 0.71- 0.73, 15.51 -17.82%
that ultimately resulted in a high efficiency of solar cell while
increase in band-gap of the absorber layer reduces efficiency of the
solar cell. Model equation gives errors ranges between 0.026 – 0.4 for
thickness and efficiency, 0.0068 – 0.078 for thickness and fill factor
and 0.003 – 0.2 for band gap and efficiency. The study shows that large
thickness of absorber layer and low band gap favor the optimization and
model equations can be used to estimate/forecast the efficiency and fill
factor within the limit of the variable parameters and this offers
better direction for laboratory experiment.
This study contributes in the existing literature that energy is an
uncompromised essential ingredient for socio-economic development and
economic growth. We have created multi-junction solar cell layers
containing CdTe/Cds/ZnO photovoltaic cells using the common SCAP ID
software with varying parameters for characterization. Simulations were
achieved by varying band gap and thickness of the absorber layer and
thereby formulating developing model equations. Model equations were
obtained using regression analysis. Yielded model equations gave minimal
errors that was adequate for the simulations resulting in higher