Photovoltaic yield: correction method for the mismatch between the solar spectrum and the reference ASTMG AM1.5G spectrum
We propose a method for a spectral correction of the predicted PV yield and we show the importance of the spectral mismatch on the solar cell. Indeed, currently predicted PV yield are made considering solar irradiation, ambient temperature, incidence angle and partially (or not) the solar spectrum....
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ftdoajarticles:oai:doaj.org/article:0958ecd8a94b4463ab9cc3ee0882c650 2023-05-15T13:06:31+02:00 Photovoltaic yield: correction method for the mismatch between the solar spectrum and the reference ASTMG AM1.5G spectrum Mambrini Thomas Dubois Anne Migan Longeaud Christophe Badosa Jordi Haeffelin Martial Prieur Laurent Radivoniuk Vincent 2015-01-01T00:00:00Z https://doi.org/10.1051/epjpv/2014011 https://doaj.org/article/0958ecd8a94b4463ab9cc3ee0882c650 EN eng EDP Sciences http://dx.doi.org/10.1051/epjpv/2014011 https://doaj.org/toc/2105-0716 2105-0716 doi:10.1051/epjpv/2014011 https://doaj.org/article/0958ecd8a94b4463ab9cc3ee0882c650 EPJ Photovoltaics, Vol 6, p 60701 (2015) Renewable energy sources TJ807-830 article 2015 ftdoajarticles https://doi.org/10.1051/epjpv/2014011 2022-12-31T04:31:55Z We propose a method for a spectral correction of the predicted PV yield and we show the importance of the spectral mismatch on the solar cell. Indeed, currently predicted PV yield are made considering solar irradiation, ambient temperature, incidence angle and partially (or not) the solar spectrum. However, the solar spectrum is not always the same. It varies depending on the site location, atmospheric conditions, time of the day.This may impact the photovoltaic solar cells differently according to their technology (crystalline Silicon, thin film, multi-junctions.) This paper presents a method for calculating the correction of the short-circuit current of a photovoltaic cell due to the mismatch of the solar spectrum with the reference ASTM AM1.5G spectrum, for a specific site, throughout the year, using monthly data of AERONET (AErosol RObotic NETwork established by NASA and CNRS) and the model SMARTS (simple model for atmospheric transmission of sunshine) developed by the NREL. We applied this correction method on the site of Palaiseau (France, 48.7°N, 2.2°E, 156 m), close to our laboratory, just for comparison and the example of Blida (Algeria, 36°N, 2°E, 230 m) is given for one year. This example illustrates the importance of this spectral correction to better estimate the photovoltaic yield. To be more precise, instead of modeling the solar spectral distribution, one can measure it with a spectro-radiometer, and then, derive the spectral mismatch correction. Some of our typical measurements are presented in this paper. Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles EPJ Photovoltaics 6 60701 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
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English |
topic |
Renewable energy sources TJ807-830 |
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Renewable energy sources TJ807-830 Mambrini Thomas Dubois Anne Migan Longeaud Christophe Badosa Jordi Haeffelin Martial Prieur Laurent Radivoniuk Vincent Photovoltaic yield: correction method for the mismatch between the solar spectrum and the reference ASTMG AM1.5G spectrum |
topic_facet |
Renewable energy sources TJ807-830 |
description |
We propose a method for a spectral correction of the predicted PV yield and we show the importance of the spectral mismatch on the solar cell. Indeed, currently predicted PV yield are made considering solar irradiation, ambient temperature, incidence angle and partially (or not) the solar spectrum. However, the solar spectrum is not always the same. It varies depending on the site location, atmospheric conditions, time of the day.This may impact the photovoltaic solar cells differently according to their technology (crystalline Silicon, thin film, multi-junctions.) This paper presents a method for calculating the correction of the short-circuit current of a photovoltaic cell due to the mismatch of the solar spectrum with the reference ASTM AM1.5G spectrum, for a specific site, throughout the year, using monthly data of AERONET (AErosol RObotic NETwork established by NASA and CNRS) and the model SMARTS (simple model for atmospheric transmission of sunshine) developed by the NREL. We applied this correction method on the site of Palaiseau (France, 48.7°N, 2.2°E, 156 m), close to our laboratory, just for comparison and the example of Blida (Algeria, 36°N, 2°E, 230 m) is given for one year. This example illustrates the importance of this spectral correction to better estimate the photovoltaic yield. To be more precise, instead of modeling the solar spectral distribution, one can measure it with a spectro-radiometer, and then, derive the spectral mismatch correction. Some of our typical measurements are presented in this paper. |
format |
Article in Journal/Newspaper |
author |
Mambrini Thomas Dubois Anne Migan Longeaud Christophe Badosa Jordi Haeffelin Martial Prieur Laurent Radivoniuk Vincent |
author_facet |
Mambrini Thomas Dubois Anne Migan Longeaud Christophe Badosa Jordi Haeffelin Martial Prieur Laurent Radivoniuk Vincent |
author_sort |
Mambrini Thomas |
title |
Photovoltaic yield: correction method for the mismatch between the solar spectrum and the reference ASTMG AM1.5G spectrum |
title_short |
Photovoltaic yield: correction method for the mismatch between the solar spectrum and the reference ASTMG AM1.5G spectrum |
title_full |
Photovoltaic yield: correction method for the mismatch between the solar spectrum and the reference ASTMG AM1.5G spectrum |
title_fullStr |
Photovoltaic yield: correction method for the mismatch between the solar spectrum and the reference ASTMG AM1.5G spectrum |
title_full_unstemmed |
Photovoltaic yield: correction method for the mismatch between the solar spectrum and the reference ASTMG AM1.5G spectrum |
title_sort |
photovoltaic yield: correction method for the mismatch between the solar spectrum and the reference astmg am1.5g spectrum |
publisher |
EDP Sciences |
publishDate |
2015 |
url |
https://doi.org/10.1051/epjpv/2014011 https://doaj.org/article/0958ecd8a94b4463ab9cc3ee0882c650 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
EPJ Photovoltaics, Vol 6, p 60701 (2015) |
op_relation |
http://dx.doi.org/10.1051/epjpv/2014011 https://doaj.org/toc/2105-0716 2105-0716 doi:10.1051/epjpv/2014011 https://doaj.org/article/0958ecd8a94b4463ab9cc3ee0882c650 |
op_doi |
https://doi.org/10.1051/epjpv/2014011 |
container_title |
EPJ Photovoltaics |
container_volume |
6 |
container_start_page |
60701 |
_version_ |
1766008711439974400 |