Automated design of multi junction solar cells by genetic approach : reaching the >50% efficiency target

Čičić, S and Tomić, S ORCID: 2017, 'Automated design of multi junction solar cells by genetic approach : reaching the >50% efficiency target' , Solar Energy Materials and Solar Cells, 181 , pp. 30-37.

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The proper design of the multi-junction solar cell (MJSC) requires the optimisation search through the vast parameter space, with parameters for the proper operation quite often being constrained, like the current matching throughout the cell. Due to high complexity number of MJSC device parameters might be huge, which makes it a demanding task for the most of the optimising strategies based on gradient algorithm. One way to overcome those difficulties is to employ the global optimisation algorithms based on the stochastic search. We present the procedure for the design of MJSC based on the heuristic method, the genetic algorithm, taking into account physical parameters of the solar cell as well as various relevant radiative and non-radiative losses. In the presented model, the number of optimising parameters is 5M + 1 for a series constrained M-junctions solar cell. Diffusion dark current, radiative and Auger recombinations are taken into account with actual ASTM G173-03 Global tilted solar spectra, while the absorption properties of individual SCs were calculated using the multi band k · p Hamiltonian. We predicted the efficiencies in case of M = 4 to be 50:8% and 55:2% when all losses are taken into account and with only radiative recombination, respectively.

Keywords: Multi Junction Solar Cells, Current Matching, III-V semiconductors, Auger effect, Genetic Algorithm

Item Type: Article
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: Solar Energy Materials and Solar Cells
Publisher: Elsevier
ISSN: 0927-0248
Related URLs:
Funders: COST
Depositing User: Prof Stanko Tomic
Date Deposited: 15 Mar 2018 14:10
Last Modified: 16 Feb 2022 18:38

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