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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  • [1] del Canizo C.(2009)Crystalline silicon solar module technology: towards the 1 euro per watt-peak goal. prog. photovolt Res. Appl. 17 199-209
  • [2] del Coso G.(1991)Optimization and numerical models of silicon solar cells Solid-State Electron. 34 69-77
  • [3] Sinke W.C.(1985)A new method for computer-aided optimization of solar cell structures Solid-State Electron. 28 751-761
  • [4] Girardini K.(2005)Calculation of the optimum installation angle for fixed solar-cell panels based on the genetic algorithm and the simulated-annealing method IEEE Trans. Energy Convers. 20 467-473
  • [5] Jacobsen S.E.(2001)Solar cell parameter extraction using genetic algorithms Meas. Sci. Technol. 12 1922-1925
  • [6] Chen M.-J.(2004)Physical limitations for homogeneous and highly doped n-type emitter monocrystalline silicon solar cells Solid-State Electron. 48 197-205
  • [7] Wu C.-Y.(2013)Understanding the impact of the doping profiles on selective emitter solar cell by two-dimensional numerical simulation IEEE J. Photovolt. 3 159-167
  • [8] Chen Y.-M.(2012)Performance analysis of rear point contact solar cells by three-dimensional numerical simulation IEEE Trans. Electron Devices 59 1311-1319
  • [9] Lee C.-H.(1998)Finite-temperature full random-phase approximation model of band gap narrowing for silicon device simulation J. Appl. Phys. 84 3684-3695
  • [10] Wu H.-C.(2011)Models for numerical device simulations of crystalline silicon solar cells a review J. Comput. Electron. 10 314-330
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