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Using ISOS consensus test protocols for development of quantitative life test models in ageing of organic solar cells.

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Title: Using ISOS consensus test protocols for development of quantitative life test models in ageing of organic solar cells.
Authors: Kettle, J.1 j.kettle@bangor.ac.uk, Stoichkov, V.1, Kumar, D.1, Corazza, M.2, Gevorgyan, S.A.2, Krebs, F.C.2
Source: Solar Energy Materials & Solar Cells. Aug2017, Vol. 167, p53-59. 7p.
Subjects: Photovoltaic effect, Solar cells, Reliability in engineering, Humidity, Climate change
Abstract: As Organic Photovoltaic (OPV) development matures, the demand grows for rapid characterisation of degradation and application of Quantitative Accelerated Life Tests (QALT) models to predict and improve reliability. To date, most accelerated testing on OPVs has been conducted using ISOS consensus standards. This paper identifies some of the problems in using and interpreting the results for predicting ageing based upon ISOS consensus standard test data. Design of Experiments (DOE) in conjunction with data from ISOS consensus standards are used as the basis for developing life test models for OPV modules. This is used to study their temperature-humidity and light-induced degradation, which enables failure rates during accelerated testing to be assessed against the typical outdoor operational conditions. The life test models are used to assess the relative severity of the ISOS standards and the impact of geographic and seasonal climatic changes on OPV degradation. [ABSTRACT FROM AUTHOR]
Copyright of Solar Energy Materials & Solar Cells is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 122775093
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PubType: Academic Journal
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  Data: Using ISOS consensus test protocols for development of quantitative life test models in ageing of organic solar cells.
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  Data: <searchLink fieldCode="JN" term="%22Solar+Energy+Materials+%26+Solar+Cells%22">Solar Energy Materials & Solar Cells</searchLink>. Aug2017, Vol. 167, p53-59. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Photovoltaic+effect%22">Photovoltaic effect</searchLink><br /><searchLink fieldCode="DE" term="%22Solar+cells%22">Solar cells</searchLink><br /><searchLink fieldCode="DE" term="%22Reliability+in+engineering%22">Reliability in engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Humidity%22">Humidity</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+change%22">Climate change</searchLink>
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  Data: As Organic Photovoltaic (OPV) development matures, the demand grows for rapid characterisation of degradation and application of Quantitative Accelerated Life Tests (QALT) models to predict and improve reliability. To date, most accelerated testing on OPVs has been conducted using ISOS consensus standards. This paper identifies some of the problems in using and interpreting the results for predicting ageing based upon ISOS consensus standard test data. Design of Experiments (DOE) in conjunction with data from ISOS consensus standards are used as the basis for developing life test models for OPV modules. This is used to study their temperature-humidity and light-induced degradation, which enables failure rates during accelerated testing to be assessed against the typical outdoor operational conditions. The life test models are used to assess the relative severity of the ISOS standards and the impact of geographic and seasonal climatic changes on OPV degradation. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Solar Energy Materials & Solar Cells is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.solmat.2017.04.005
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        Text: English
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      – SubjectFull: Solar cells
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      – SubjectFull: Reliability in engineering
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              Text: Aug2017
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