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Worldwide impact of aerosol’s time scale on the predicted long-term concentrating solar power potential

Concentrating solar technologies, which are fuelled by the direct normal component of solar irradiance (DNI), are among the most promising solar technologies. Currently, the state-of the-art methods for DNI evaluation use datasets of aerosol optical depth (AOD) with only coarse (typically monthly) t...

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Autores principales: Ruiz-Arias, Jose A., Gueymard, Christian A., Santos-Alamillos, Francisco J., Pozo-Vázquez, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4979049/
https://www.ncbi.nlm.nih.gov/pubmed/27507711
http://dx.doi.org/10.1038/srep30546
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author Ruiz-Arias, Jose A.
Gueymard, Christian A.
Santos-Alamillos, Francisco J.
Pozo-Vázquez, David
author_facet Ruiz-Arias, Jose A.
Gueymard, Christian A.
Santos-Alamillos, Francisco J.
Pozo-Vázquez, David
author_sort Ruiz-Arias, Jose A.
collection PubMed
description Concentrating solar technologies, which are fuelled by the direct normal component of solar irradiance (DNI), are among the most promising solar technologies. Currently, the state-of the-art methods for DNI evaluation use datasets of aerosol optical depth (AOD) with only coarse (typically monthly) temporal resolution. Using daily AOD data from both site-specific observations at ground stations as well as gridded model estimates, a methodology is developed to evaluate how the calculated long-term DNI resource is affected by using AOD data averaged over periods from 1 to 30 days. It is demonstrated here that the use of monthly representations of AOD leads to systematic underestimations of the predicted long-term DNI up to 10% in some areas with high solar resource, which may result in detrimental consequences for the bankability of concentrating solar power projects. Recommendations for the use of either daily or monthly AOD data are provided on a geographical basis.
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spelling pubmed-49790492016-08-19 Worldwide impact of aerosol’s time scale on the predicted long-term concentrating solar power potential Ruiz-Arias, Jose A. Gueymard, Christian A. Santos-Alamillos, Francisco J. Pozo-Vázquez, David Sci Rep Article Concentrating solar technologies, which are fuelled by the direct normal component of solar irradiance (DNI), are among the most promising solar technologies. Currently, the state-of the-art methods for DNI evaluation use datasets of aerosol optical depth (AOD) with only coarse (typically monthly) temporal resolution. Using daily AOD data from both site-specific observations at ground stations as well as gridded model estimates, a methodology is developed to evaluate how the calculated long-term DNI resource is affected by using AOD data averaged over periods from 1 to 30 days. It is demonstrated here that the use of monthly representations of AOD leads to systematic underestimations of the predicted long-term DNI up to 10% in some areas with high solar resource, which may result in detrimental consequences for the bankability of concentrating solar power projects. Recommendations for the use of either daily or monthly AOD data are provided on a geographical basis. Nature Publishing Group 2016-08-10 /pmc/articles/PMC4979049/ /pubmed/27507711 http://dx.doi.org/10.1038/srep30546 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Ruiz-Arias, Jose A.
Gueymard, Christian A.
Santos-Alamillos, Francisco J.
Pozo-Vázquez, David
Worldwide impact of aerosol’s time scale on the predicted long-term concentrating solar power potential
title Worldwide impact of aerosol’s time scale on the predicted long-term concentrating solar power potential
title_full Worldwide impact of aerosol’s time scale on the predicted long-term concentrating solar power potential
title_fullStr Worldwide impact of aerosol’s time scale on the predicted long-term concentrating solar power potential
title_full_unstemmed Worldwide impact of aerosol’s time scale on the predicted long-term concentrating solar power potential
title_short Worldwide impact of aerosol’s time scale on the predicted long-term concentrating solar power potential
title_sort worldwide impact of aerosol’s time scale on the predicted long-term concentrating solar power potential
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4979049/
https://www.ncbi.nlm.nih.gov/pubmed/27507711
http://dx.doi.org/10.1038/srep30546
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