Optimizing metal grating back reflectors for III-V-on-silicon multijunction solar cells

DOI

Multi-junction solar cells allow to utilize sunlight more effectively than single junction solar cells. In our work, we present optical simulations of III-V-on-silicon solar cells with a metal grating at the back, which experimentally have reached more than 33% power conversion efficiency. First, we perform simulations with the finite element method and compare them with experimental data to validate our model. We find that accurately modeling the investigated geometrical structure is necessary for best agreement between simulation and experimental measurements. Then, we optimize the grating for maximized light trapping using a computationally efficient Bayesian optimization algorithm. The photo current density of the limiting silicon bottom cell is improved from 13.48 mA/cm2 for the experimental grating to 13.85 mA/cm2 for the optimized metal grating. Investigation of all geometrical optimization parameters of the grating (period, height, …) shows that the structure is most sensitive towards the period, a parameter highly controllable in manufacturing by inference lithography. The data is provided as a ZIP archive containing the raw simulation results from FEM calculations for the backside grating and TMM calculations for the planar front side as well as EQE and reflection measurements of the experimental cells used as a benchmark. Please refer to the readme file included in the archive for details about the data structure. Python code is supplied under DOI:10.5281/zenodo.5013230 that allows to generate the figures in the Optics Express publication “Optimizing metal grating back reflectors for III-V-on-silicon multijunction solar cells.” from the simulation raw data.

Identifier
DOI https://doi.org/10.5442/ND000006
Related Identifier Cites https://doi.org/10.1038/s41560-018-0125-0
Related Identifier Cites https://doi.org/10.1117/12.2307831
Related Identifier IsSupplementTo https://doi.org/10.1364/OE.426761
Related Identifier IsReferencedBy https://doi.org/10.5281/zenodo.5013230
Metadata Access https://data.helmholtz-berlin.de/oaipmh/request?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:data.helmholtz-berlin.de:datapub/6
Provenance
Creator Tillmann, Peter ORCID logo; Bläsi, Benedikt ORCID logo; Burger, Sven ORCID logo; Hammerschmidt, Martin ORCID logo; Höhn, Oliver ORCID logo; Becker, Christiane ORCID logo; Jäger, Klaus ORCID logo
Publisher HZB Data Service
Publication Year 2021
Funding Reference Helmholtz Association https://doi.org/10.13039/501100001656 Crossref Funder ID ExNet-0042-Phase-2-3 ; Helmholtz Einstein International Berlin Research School in Data Science (HEIBRiDS) :unas ; Federal Ministry for Economic Affairs and Energy https://doi.org/10.13039/501100006360 Crossref Funder ID 0324247
Rights Creative Commons Zero v1.0 Universal; https://creativecommons.org/publicdomain/zero/1.0/
OpenAccess true
Representation
Resource Type Dataset
Format application/zip
Size 394.49 MiB
Discipline Other