Material selection method for a perovskite solar cell design based on the genetic algorithm

In this work, we propose a method of selecting the most desirable combinations of material for a perovskite solar cell design utilizing the genetic algorithm. Solar cells based on the methylammonium lead halide, CH 3 NH 3 PbX 3 , attract researchers due to the benefits of their high absorption coeff...

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Bibliographic Details
Published in2020 47th IEEE Photovoltaic Specialists Conference (PVSC) pp. 2631 - 2634
Main Authors Kim, Eungkyun, Bhattacharya, Indranil
Format Conference Proceeding
LanguageEnglish
Published IEEE 14.06.2020
Subjects
ETL
genetic algorithm
Genetic algorithms
HTL
Indexes
Lead
methylammonium lead halide
perovskite solar cell
Photonic band gap
Photovoltaic cells
Stability criteria
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DOI10.1109/PVSC45281.2020.9300498

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Summary:In this work, we propose a method of selecting the most desirable combinations of material for a perovskite solar cell design utilizing the genetic algorithm. Solar cells based on the methylammonium lead halide, CH 3 NH 3 PbX 3 , attract researchers due to the benefits of their high absorption coefficient and sharp Urbach tail, long diffusion length and carrier lifetime, and high carrier mobility. However, their poor stability under exposure to moisture still poses a challenge. In our work, we assigned stability index, power conversion efficiency index, and cost-effectiveness index for each material based on the available experimental data in the literature, and our algorithm determined the TiO 2 /CH 3 NH 3 PbI 2.1 Br 0.9 /Spiro-OMeTAD as the most well-balanced solution in terms of cost, efficiency, and stability. The proposed method can be extended further to aid the material selection in all-perovskite multijunction solar cell design as more data on perovskite materials become available in the future.
DOI:10.1109/PVSC45281.2020.9300498