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A statistics modeling approach for the optimization of thin film photovoltaic devices
University of Nova Lisboa, Portugal; CEMOP UNINOVA, Portugal.
Linköping University, Department of Science and Technology, Physics and Electronics. Linköping University, Faculty of Science & Engineering. University of Nova Lisboa, Portugal; CEMOP UNINOVA, Portugal.
University of Nova Lisboa, Portugal; CEMOP UNINOVA, Portugal.
University of Nova Lisboa, Portugal; CEMOP UNINOVA, Portugal.
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2017 (English)In: Solar Energy, ISSN 0038-092X, E-ISSN 1471-1257, Vol. 144, 232-243 p.Article in journal (Refereed) Published
Abstract [en]

The growing interest in exploring thin film technologies to produce low cost devices such as n-i-p silicon solar cells, with outstanding performances and capability to address the highly relevant energy market, turns the optimization of their fabrication process a key area of development. The usual one-dimensional analysis of the involved parameters makes it difficult and time consuming to find the optimal set of conditions. To overcome these difficulties, the combination of experimental design and statistical analysis provides the tools to explore in a multidimensional fashion the interactions between fabrication parameters and expected experimental outputs. Design of Experiment and Multivariate Analysis are demonstrated here for the optimization of: (1) the low temperature deposition (150 degrees C) of high quality intrinsic amorphous silicon (i-a-Si:H); and (2) the matching of the n-, i-, and p-silicon layers thickness to maximize the efficiency of thin film solar cells. The multiple regression method applied, validated through analysis of variance and evaluated against exact numerical simulations, is shown to predict the overall intrinsic layer properties and the devices performance. The results confirm that experimental design and statistical data analysis are effective approaches to improve, within a minimum time frame and high certainty, the properties of silicon thin films, and subsequently the layer structure of solar cells.(C) 2017 Published by Elsevier Ltd.

Place, publisher, year, edition, pages
PERGAMON-ELSEVIER SCIENCE LTD , 2017. Vol. 144, 232-243 p.
Keyword [en]
Thin films; Solar cells; PECVD; Multivariate analysis; Design of experiment
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
URN: urn:nbn:se:liu:diva-136625DOI: 10.1016/j.solener.2017.01.029ISI: 000397550500024OAI: oai:DiVA.org:liu-136625DiVA: diva2:1089874
Note

Funding Agencies|y FEDER funds through the COMPETE Programme; National Funds through FCT (Portuguese Foundation for Science and Technology) [UID/CTM/50025/2013]; ALTALUZ [PTDC/CTM-ENE/5125/2014]; European project BET-EU [692373, H2020-TWINN-2015]; CSA; Portuguese Foundation for Science and Technology (FCT); MIT-Portugal [SFRH/BD/33978/2009]; EU FP7 Marie Curie Action through the DIELECTRIC PV project [FP7-PEOPLE-2013-IEF, 629370]

Available from: 2017-04-21 Created: 2017-04-21 Last updated: 2017-04-21

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Wojcik, Pawel
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