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

被引:0
作者
Giuseppe Alì
Francesco Butera
Nella Rotundo
机构
[1] University of Calabria,Department of Physics
[2] Gruppo Collegato di Cosenza,INFN
[3] McGill University,Department of Mathematics and Statistics
来源
Journal of Computational Electronics | 2014年 / 13卷
关键词
Photovoltaics; Silicon; Solar cell; Genetic algorithm; Optimization; Continuous and integer variables;
D O I
暂无
中图分类号
学科分类号
摘要
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.
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页码:323 / 328
页数:5
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