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Towards a fully LED-based solar simulator - spectral mismatch considerations

LED solar simulators have a high potential for high quality characterisation of solar cells. One of the main challenges is to achieve a close spectral match to the AM1.5 solar spectrum from 350nm to 1300nm. The main sources of measurement uncertainty are the spectral mismatch, the non-uniformity of...

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Main Authors: Foteini Plyta, Tom Betts, Ralph Gottschalg
Format: Default Conference proceeding
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/2134/17667
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author Foteini Plyta
Tom Betts
Ralph Gottschalg
author_facet Foteini Plyta
Tom Betts
Ralph Gottschalg
author_sort Foteini Plyta (1258032)
collection Figshare
description LED solar simulators have a high potential for high quality characterisation of solar cells. One of the main challenges is to achieve a close spectral match to the AM1.5 solar spectrum from 350nm to 1300nm. The main sources of measurement uncertainty are the spectral mismatch, the non-uniformity of light and the reference cell. The spectral mismatch can increase the measurement uncertainty significantly. In order to minimize a major uncertainty factor a close spectral match needs to be acquired. It will be shown that the usage of LEDs, which are narrow wavelength emitting light sources, can improve the measurement accuracy of the solar simulator by accurately matching the solar spectrum. The process of choosing the best combination of wavelengths and the LED population per wavelength is a complex, dual optimization problem. This paper evaluates the optimisation algorithms chosen and examines the influence of different fitness functions in acquiring a Class A+ spectral match.
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Conference proceeding
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institution Loughborough University
publishDate 2013
record_format Figshare
spelling rr-article-95533792013-01-01T00:00:00Z Towards a fully LED-based solar simulator - spectral mismatch considerations Foteini Plyta (1258032) Tom Betts (1258395) Ralph Gottschalg (1247661) Light Emitting Diodes (LEDs) Solar simulator Characterisation Spectral match LED solar simulators have a high potential for high quality characterisation of solar cells. One of the main challenges is to achieve a close spectral match to the AM1.5 solar spectrum from 350nm to 1300nm. The main sources of measurement uncertainty are the spectral mismatch, the non-uniformity of light and the reference cell. The spectral mismatch can increase the measurement uncertainty significantly. In order to minimize a major uncertainty factor a close spectral match needs to be acquired. It will be shown that the usage of LEDs, which are narrow wavelength emitting light sources, can improve the measurement accuracy of the solar simulator by accurately matching the solar spectrum. The process of choosing the best combination of wavelengths and the LED population per wavelength is a complex, dual optimization problem. This paper evaluates the optimisation algorithms chosen and examines the influence of different fitness functions in acquiring a Class A+ spectral match. 2013-01-01T00:00:00Z Text Conference contribution 2134/17667 https://figshare.com/articles/conference_contribution/Towards_a_fully_LED-based_solar_simulator_-_spectral_mismatch_considerations/9553379 CC BY-NC-ND 4.0
spellingShingle Light Emitting Diodes (LEDs)
Solar simulator
Characterisation
Spectral match
Foteini Plyta
Tom Betts
Ralph Gottschalg
Towards a fully LED-based solar simulator - spectral mismatch considerations
title Towards a fully LED-based solar simulator - spectral mismatch considerations
title_full Towards a fully LED-based solar simulator - spectral mismatch considerations
title_fullStr Towards a fully LED-based solar simulator - spectral mismatch considerations
title_full_unstemmed Towards a fully LED-based solar simulator - spectral mismatch considerations
title_short Towards a fully LED-based solar simulator - spectral mismatch considerations
title_sort towards a fully led-based solar simulator - spectral mismatch considerations
topic Light Emitting Diodes (LEDs)
Solar simulator
Characterisation
Spectral match
url https://hdl.handle.net/2134/17667