Opal-like photonic structuring of perovskite solar cells using a genetic algorithm approach

Michael Lobet; Alexandre Mayer; Anthony Maho; Pierre Piron; Jennifer Dewalque; Catherine Henrist; Jérôme Loicq

doi:10.3390/app10051783

Opal-like photonic structuring of perovskite solar cells using a genetic algorithm approach

Michael Lobet, Alexandre Mayer, Anthony Maho, Pierre Piron, Jennifer Dewalque, Catherine Henrist, Jérôme Loicq

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Abstract

Light management is an important area of photovoltaic research, but little is known about it in perovskite solar cells. The present work numerically studies the positive effect of structuring the photo-active layer of perovskite material. This structuration consists of a hybrid absorbing layer made of an uniform part and an opal-like part. A genetic algorithm approach allows us to determine the optimal combination among more than 1.4 x 10 ⁹ potential combinations. The optimal combination provides an internal quantum efficiency of 98.1%, nearly 2% higher than for an equivalent unstructured photo-active layer. The robustness of the optimum against potential experimental deviations, as well as the angular dependency of the proposed structure, are examined in the present study.

Original language	English
Article number	1783
Number of pages	13
Journal	Applied Sciences
Volume	10
Issue number	5
DOIs	https://doi.org/10.3390/app10051783
Publication status	Published - 1 Mar 2020

Keywords

Light management
Perovskite
Photonic crystals
Photovoltaics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/app10051783

Opal-like photonic structuring of perovskite solar cells using a genetic algorithm approachFinal published version, 1.28 MB

https://www.mdpi.com/2076-3417/10/5/1783

Cite this

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title = "Opal-like photonic structuring of perovskite solar cells using a genetic algorithm approach",

abstract = "Light management is an important area of photovoltaic research, but little is known about it in perovskite solar cells. The present work numerically studies the positive effect of structuring the photo-active layer of perovskite material. This structuration consists of a hybrid absorbing layer made of an uniform part and an opal-like part. A genetic algorithm approach allows us to determine the optimal combination among more than 1.4 x 10 9 potential combinations. The optimal combination provides an internal quantum efficiency of 98.1%, nearly 2% higher than for an equivalent unstructured photo-active layer. The robustness of the optimum against potential experimental deviations, as well as the angular dependency of the proposed structure, are examined in the present study. ",

keywords = "Light management, Perovskite, Photonic crystals, Photovoltaics",

author = "Michael Lobet and Alexandre Mayer and Anthony Maho and Pierre Piron and Jennifer Dewalque and Catherine Henrist and J{\'e}r{\^o}me Loicq",

note = "Funding Information: This research was funded by F{\'e}d{\'e}ration Wallonie-Bruxelles (grant for Concerted Research Actions). Computational resources were provided by the Consortium des {\'E}quipements de Calcul Intensif (C{\'E}CI), funded by the Fonds de la Recherche Scientifique de Belgique (F.R.S.-FNRS) under Grant No. 2.5020.11 and by the Walloon Region. Al.M. is funded by the Fund for Scientific Research (F.R.S.-FNRS) of Belgium. He is a member of NaXys, Namur Institute for Complex Systems, University of Namur, Belgium. Rudi Cloots, director of GREENMAT, Olivier Deparis, director of LPS, and fellow team members. Publisher Copyright: {\textcopyright} 2020 by the authors.",

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month = mar,

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doi = "10.3390/app10051783",

language = "English",

volume = "10",

journal = "Applied Sciences",

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AU - Lobet, Michael

AU - Mayer, Alexandre

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AU - Piron, Pierre

AU - Dewalque, Jennifer

AU - Henrist, Catherine

AU - Loicq, Jérôme

N1 - Funding Information: This research was funded by Fédération Wallonie-Bruxelles (grant for Concerted Research Actions). Computational resources were provided by the Consortium des Équipements de Calcul Intensif (CÉCI), funded by the Fonds de la Recherche Scientifique de Belgique (F.R.S.-FNRS) under Grant No. 2.5020.11 and by the Walloon Region. Al.M. is funded by the Fund for Scientific Research (F.R.S.-FNRS) of Belgium. He is a member of NaXys, Namur Institute for Complex Systems, University of Namur, Belgium. Rudi Cloots, director of GREENMAT, Olivier Deparis, director of LPS, and fellow team members. Publisher Copyright: © 2020 by the authors.

PY - 2020/3/1

Y1 - 2020/3/1

N2 - Light management is an important area of photovoltaic research, but little is known about it in perovskite solar cells. The present work numerically studies the positive effect of structuring the photo-active layer of perovskite material. This structuration consists of a hybrid absorbing layer made of an uniform part and an opal-like part. A genetic algorithm approach allows us to determine the optimal combination among more than 1.4 x 10 9 potential combinations. The optimal combination provides an internal quantum efficiency of 98.1%, nearly 2% higher than for an equivalent unstructured photo-active layer. The robustness of the optimum against potential experimental deviations, as well as the angular dependency of the proposed structure, are examined in the present study.

AB - Light management is an important area of photovoltaic research, but little is known about it in perovskite solar cells. The present work numerically studies the positive effect of structuring the photo-active layer of perovskite material. This structuration consists of a hybrid absorbing layer made of an uniform part and an opal-like part. A genetic algorithm approach allows us to determine the optimal combination among more than 1.4 x 10 9 potential combinations. The optimal combination provides an internal quantum efficiency of 98.1%, nearly 2% higher than for an equivalent unstructured photo-active layer. The robustness of the optimum against potential experimental deviations, as well as the angular dependency of the proposed structure, are examined in the present study.

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KW - Photovoltaics

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JO - Applied Sciences

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ER -

Opal-like photonic structuring of perovskite solar cells using a genetic algorithm approach

Abstract

Keywords

UN SDGs

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CÉCI – Consortium of high performance computing centers

High Performance Computing Technology Platform

Cite this

Opal-like photonic structuring of perovskite solar cells using a genetic algorithm approach

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

CÉCI – Consortium of high performance computing centers

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High Performance Computing Technology Platform

Cite this