DocumentCode :
736001
Title :
Semi-analytical modeling and optimization of a: SiGe thin-film solar cell including multi-trench region
Author :
Ferhati, H. ; Djeffal, F. ; Bencherif, H. ; Meguellati, M.
Author_Institution :
Dept. of Electron., Univ. of Batna, Batna, Algeria
fYear :
2015
fDate :
25-27 May 2015
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, we present semi-analytical modeling and optimization approaches based on genetic algorithm computation to improve the electrical performance of amorphous SiGe thin-film solar cell including multi-trench region. The key idea behind the proposed investigation is to model the electrical efficiency using 2D numerical database and analytical fitting. Semi-analytical expression of the efficiency for the trench-dependent electrical models, have been used to estimate the performance of the investigated a:SiGe thin-film solar cell. Trench-dependent model includes the multi-trench region parameters, which are: the doping, thickness and width. The semi-analytical model has been used to formulate the objective function where multi-trench region, its geometry dependence and doping profile are considered simultaneously. The proposed approach is used to search for solar cell design parameters that optimize the electrical performance. The obtained results are validated with 2D numerical data, where a good agreement is recorded. The proposed semi-analytical analysis may provide a practical basis to investigate and optimize the a:SiGe-based solar cells for low cost and high performance applications.
Keywords :
elemental semiconductors; genetic algorithms; germanium compounds; silicon compounds; solar cells; 2D numerical database; SiGe; analytical fitting; genetic algorithm; multitrench region; objective function; semianalytical modeling; semianalytical optimization; solar cell design parameters; thin-film solar cell; trench-dependent electrical models; Genetic algorithms; Linear programming; Numerical models; Optimization; Photovoltaic cells; Semiconductor process modeling; Silicon germanium; SiGe; genetic algorithm; optimization; solar cell; thin-film;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Engineering & Information Technology (CEIT), 2015 3rd International Conference on
Conference_Location :
Tlemcen
Type :
conf
DOI :
10.1109/CEIT.2015.7233165
Filename :
7233165
Link To Document :
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