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International Journal of Energy Research
willy
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Abstract: |
This work presents different numerical methods that are used for the first time
in solving Perovskite solar cells (PSCs). Classical differential quadrature, sinc,
and discrete singular convolution (Regularized Shannon and Delta Lagrange
kernels) methods are employed for studying this problem. The governing equations are derived based on Poisson's and continuity equations. The different
quadrature techniques are introduced to convert the system of nonlinear partial differential equations to nonlinear algebraic system. Then, an iterative
method is used to solve this system. Convergence and efficiency of the
obtained results with error ≤108 depend on various computational characteristics for each technique. The computed results match with previous experiment, exact, finite difference, SCAPS 1-D simulation software, and finite
element scheme. Then, the comprehensive parametric study is explored to
show the effects of density states, gap energy, thickness, temperatures, lifetimes, wavelength, absorption coefficient, recombination prefactor, and recombination mechanisms whether direct or indirect on power conversion
efficiency (PCE) and charge transport of solar cells with and without interface
material. After all that have been studied on PSCs, it was found that the best
value of PCEs was 32%. Thus, the computed results of the present schemes
may be useful for improving the performance level of PSCs.
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