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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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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. |
format | Online Article Text |
id | pubmed-4979049 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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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