Developing a Combinatorial Synthesis Database Tool

Thin-film solar cell research is central to the electricity production of the near future. Photovoltaic technologies based on silicon have a significant portion of the global market and installed capacity. Thin-film solar cells are port of the emerging photovoltaic technologies that are challenging...

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Main Author: Quaglia Casal, Luciano
Format: Others
Language:English
Published: Uppsala universitet, Fasta tillståndets elektronik 2018
Subjects:
PV
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-374858
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spelling ndltd-UPSALLA1-oai-DiVA.org-uu-3748582019-01-31T05:57:35ZDeveloping a Combinatorial Synthesis Database ToolengQuaglia Casal, LucianoUppsala universitet, Fasta tillståndets elektronik2018MATLABcombinatorial synthesiscombinatorial synthesis analysisthin-film solar cellsabundant materialsPVphotovoltaicsdata analysisCZTSCIGSCdTeAtom and Molecular Physics and OpticsAtom- och molekylfysik och optikOther Computer and Information ScienceAnnan data- och informationsvetenskapThin-film solar cell research is central to the electricity production of the near future. Photovoltaic technologies based on silicon have a significant portion of the global market and installed capacity. Thin-film solar cells are port of the emerging photovoltaic technologies that are challenging silicon for a part of the electricity production based on solar power. These thin-film technologies, such as copper indium gallium selenide (CIGS) and cadmium telluride (CdTe), are lower cost and require less energy to produce, but also require rare materials. An alternative to these technologies are thin-film solar cells based on more abundant materials. To develop these new materials at Uppsala University, combinatorial synthesis is used. This method produces a significant amount of data across different measurement methods. The data needs to be analysed and combined to gather information about the characteristics of the materials being developed. To facilitate the analysis and combination of data, a database tool was created in MATLAB. The result is a program that allows its User to combine energy-dispersive X-ray spectroscopy (EDS), Raman spectroscopy and Photoluminescence spectroscopy measurements done on solar cell absorber layers. Absorber layers are the section of solar cells where sun lighet is absorbed, and electron-hole pairs are created. The program provides multiple figures and graphs combining the different data collected, enabling the User to draw conclusions about the characteristics of the sample and its suitability as an absorber layer. The combinatorial synthesis database tool created could be user for combinatorial synthesis analysis of other material samples that are not necessarily absorber layers for thin-film solar cells. This report describes both the development of the tool and the code itself. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-374858UPTEC ES, 1650-8300 ; 18 039application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic MATLAB
combinatorial synthesis
combinatorial synthesis analysis
thin-film solar cells
abundant materials
PV
photovoltaics
data analysis
CZTS
CIGS
CdTe
Atom and Molecular Physics and Optics
Atom- och molekylfysik och optik
Other Computer and Information Science
Annan data- och informationsvetenskap
spellingShingle MATLAB
combinatorial synthesis
combinatorial synthesis analysis
thin-film solar cells
abundant materials
PV
photovoltaics
data analysis
CZTS
CIGS
CdTe
Atom and Molecular Physics and Optics
Atom- och molekylfysik och optik
Other Computer and Information Science
Annan data- och informationsvetenskap
Quaglia Casal, Luciano
Developing a Combinatorial Synthesis Database Tool
description Thin-film solar cell research is central to the electricity production of the near future. Photovoltaic technologies based on silicon have a significant portion of the global market and installed capacity. Thin-film solar cells are port of the emerging photovoltaic technologies that are challenging silicon for a part of the electricity production based on solar power. These thin-film technologies, such as copper indium gallium selenide (CIGS) and cadmium telluride (CdTe), are lower cost and require less energy to produce, but also require rare materials. An alternative to these technologies are thin-film solar cells based on more abundant materials. To develop these new materials at Uppsala University, combinatorial synthesis is used. This method produces a significant amount of data across different measurement methods. The data needs to be analysed and combined to gather information about the characteristics of the materials being developed. To facilitate the analysis and combination of data, a database tool was created in MATLAB. The result is a program that allows its User to combine energy-dispersive X-ray spectroscopy (EDS), Raman spectroscopy and Photoluminescence spectroscopy measurements done on solar cell absorber layers. Absorber layers are the section of solar cells where sun lighet is absorbed, and electron-hole pairs are created. The program provides multiple figures and graphs combining the different data collected, enabling the User to draw conclusions about the characteristics of the sample and its suitability as an absorber layer. The combinatorial synthesis database tool created could be user for combinatorial synthesis analysis of other material samples that are not necessarily absorber layers for thin-film solar cells. This report describes both the development of the tool and the code itself.
author Quaglia Casal, Luciano
author_facet Quaglia Casal, Luciano
author_sort Quaglia Casal, Luciano
title Developing a Combinatorial Synthesis Database Tool
title_short Developing a Combinatorial Synthesis Database Tool
title_full Developing a Combinatorial Synthesis Database Tool
title_fullStr Developing a Combinatorial Synthesis Database Tool
title_full_unstemmed Developing a Combinatorial Synthesis Database Tool
title_sort developing a combinatorial synthesis database tool
publisher Uppsala universitet, Fasta tillståndets elektronik
publishDate 2018
url http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-374858
work_keys_str_mv AT quagliacasalluciano developingacombinatorialsynthesisdatabasetool
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