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Journal of Computational Electronics
Erschienen in: Journal of Computational Electronics 1/2014

01.03.2014

Geometrical and physical optimization of a photovoltaic cell by means of a genetic algorithm

verfasst von: Giuseppe Alì, Francesco Butera, Nella Rotundo

Erschienen in: Journal of Computational Electronics | Ausgabe 1/2014

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Abstract

A methodology for the geometrical and physical optimization of a photovoltaic cell is proposed, which makes use of a detailed distributed model for the device simulation and a genetic algorithm. For the numerical simulation of the device, a TCAD simulator is used, appropriately interfaced with the genetic algorithm. Since the parameters to be optimized are geometrical, each simulation requires a different mesh grid, which is automatically set within the genetic algorithm optimization cycle. The evaluation of the fitness function requires the post-processing of the output of the device simulation, which is performed by another external software, also interfaced with the genetic algorithm. The feasibility of this methodology is assessed on a homogeneous emitter solar cell, with some relevant free parameters, related to the number of fingers in a cell and to the doping profile of the emitter. The parameters which maximize the efficiency of the cell are determined by using the proposed procedure.
Vorheriger Artikel Numerical study of the effect of defect layer on unmagnetized plasma photonic crystals
Nächster Artikel An efficient numerical approach to studying impact ionization in sub-micrometer devices

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Metadaten
Titel
Geometrical and physical optimization of a photovoltaic cell by means of a genetic algorithm
verfasst von
Giuseppe Alì
Francesco Butera
Nella Rotundo
Publikationsdatum
01.03.2014
Verlag
Springer US
Erschienen in
Journal of Computational Electronics / Ausgabe 1/2014
Print ISSN: 1569-8025
Elektronische ISSN: 1572-8137
DOI
https://doi.org/10.1007/s10825-013-0533-0

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