Impact of temporal and spatial variability of solar resource on technical sizing of isolated solar installations in Senegal using satellite data

The use of visible images from geostationary satellites such as Meteosat makes it possible to observe practically the entire surface of the earth almost instantaneously. This study aims to analyze for the first time the spatial and temporal variability of solar resource at different scales (daily, i...

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Autores principales:	Adama Sarr, Cheikh Mouhamed Fadel Kebe, Moussa Gueye, Ababacar Ndiaye
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Solar resource Time Space Senegal Satellite Photovoltaic system Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/441ae9f893554ed290f4e7b3c84dc5d4
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spelling	oai:doaj.org-article:441ae9f893554ed290f4e7b3c84dc5d42021-11-18T04:49:28ZImpact of temporal and spatial variability of solar resource on technical sizing of isolated solar installations in Senegal using satellite data2352-484710.1016/j.egyr.2021.07.064https://doaj.org/article/441ae9f893554ed290f4e7b3c84dc5d42021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721005291https://doaj.org/toc/2352-4847The use of visible images from geostationary satellites such as Meteosat makes it possible to observe practically the entire surface of the earth almost instantaneously. This study aims to analyze for the first time the spatial and temporal variability of solar resource at different scales (daily, interannual and seasonal) in Senegal. Senegal is a climatologically interesting area because of its heterogeneity in terms of climate, from desert type (Sahelian) in the north to tropical type in the south, its sea–land interface and also its north–south gradient in precipitation. It is therefore interesting to map the solar resource to identify the different zone (zoning) in terms of solar potential. We will then suggest a model to size a 100% solar microgrid for electricity production. A case study has been applied with this model for a village that has a requirement of 134 kWh/d. In this paper, GHI (Global Horizontal Irradiance) estimates obtained from satellite imagery allowed us to evaluate the solar resource and its daily, interannual and seasonal variability. The Helioclim-3 V5 (HC-3) database is used over a 14-year period (2006–2019). This database allows to estimate the solar resource components at any point of the globe and for longer time periods. HC-3 has a very good spatial resolution (about 3 km) and a high temporal resolution (15 min). This method takes into account the relief and integrates clouds, water vapors and aerosols. The results to fully cover the needs of this 100% solar village mini-grid, there is a variation of the peak power of 20.20% between the maximum and minimum values over the year and 46.56% over the seasons. Coefficient of variation (COV) maps expressed as a percentage also show a low dispersion of the solar resource over the study period. The COV shows a narrow distribution with a minimum value of 6% and a maximum value of 9% varying from area to area and season to season. To see how a data compares to others, we will see the concept of percentiles. The P5, P10, P50 and P90 percentiles are calculated and compared to the GHI average from 2006 to 2019. The results show that P10 and P90 are closer to the GHI average than P5 and P50.Adama SarrCheikh Mouhamed Fadel KebeMoussa GueyeAbabacar NdiayeElsevierarticleSolar resourceTimeSpaceSenegalSatellitePhotovoltaic systemElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 753-766 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Solar resource Time Space Senegal Satellite Photovoltaic system Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Solar resource Time Space Senegal Satellite Photovoltaic system Electrical engineering. Electronics. Nuclear engineering TK1-9971 Adama Sarr Cheikh Mouhamed Fadel Kebe Moussa Gueye Ababacar Ndiaye Impact of temporal and spatial variability of solar resource on technical sizing of isolated solar installations in Senegal using satellite data
description	The use of visible images from geostationary satellites such as Meteosat makes it possible to observe practically the entire surface of the earth almost instantaneously. This study aims to analyze for the first time the spatial and temporal variability of solar resource at different scales (daily, interannual and seasonal) in Senegal. Senegal is a climatologically interesting area because of its heterogeneity in terms of climate, from desert type (Sahelian) in the north to tropical type in the south, its sea–land interface and also its north–south gradient in precipitation. It is therefore interesting to map the solar resource to identify the different zone (zoning) in terms of solar potential. We will then suggest a model to size a 100% solar microgrid for electricity production. A case study has been applied with this model for a village that has a requirement of 134 kWh/d. In this paper, GHI (Global Horizontal Irradiance) estimates obtained from satellite imagery allowed us to evaluate the solar resource and its daily, interannual and seasonal variability. The Helioclim-3 V5 (HC-3) database is used over a 14-year period (2006–2019). This database allows to estimate the solar resource components at any point of the globe and for longer time periods. HC-3 has a very good spatial resolution (about 3 km) and a high temporal resolution (15 min). This method takes into account the relief and integrates clouds, water vapors and aerosols. The results to fully cover the needs of this 100% solar village mini-grid, there is a variation of the peak power of 20.20% between the maximum and minimum values over the year and 46.56% over the seasons. Coefficient of variation (COV) maps expressed as a percentage also show a low dispersion of the solar resource over the study period. The COV shows a narrow distribution with a minimum value of 6% and a maximum value of 9% varying from area to area and season to season. To see how a data compares to others, we will see the concept of percentiles. The P5, P10, P50 and P90 percentiles are calculated and compared to the GHI average from 2006 to 2019. The results show that P10 and P90 are closer to the GHI average than P5 and P50.
format	article
author	Adama Sarr Cheikh Mouhamed Fadel Kebe Moussa Gueye Ababacar Ndiaye
author_facet	Adama Sarr Cheikh Mouhamed Fadel Kebe Moussa Gueye Ababacar Ndiaye
author_sort	Adama Sarr
title	Impact of temporal and spatial variability of solar resource on technical sizing of isolated solar installations in Senegal using satellite data
title_short	Impact of temporal and spatial variability of solar resource on technical sizing of isolated solar installations in Senegal using satellite data
title_full	Impact of temporal and spatial variability of solar resource on technical sizing of isolated solar installations in Senegal using satellite data
title_fullStr	Impact of temporal and spatial variability of solar resource on technical sizing of isolated solar installations in Senegal using satellite data
title_full_unstemmed	Impact of temporal and spatial variability of solar resource on technical sizing of isolated solar installations in Senegal using satellite data
title_sort	impact of temporal and spatial variability of solar resource on technical sizing of isolated solar installations in senegal using satellite data
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/441ae9f893554ed290f4e7b3c84dc5d4
work_keys_str_mv	AT adamasarr impactoftemporalandspatialvariabilityofsolarresourceontechnicalsizingofisolatedsolarinstallationsinsenegalusingsatellitedata AT cheikhmouhamedfadelkebe impactoftemporalandspatialvariabilityofsolarresourceontechnicalsizingofisolatedsolarinstallationsinsenegalusingsatellitedata AT moussagueye impactoftemporalandspatialvariabilityofsolarresourceontechnicalsizingofisolatedsolarinstallationsinsenegalusingsatellitedata AT ababacarndiaye impactoftemporalandspatialvariabilityofsolarresourceontechnicalsizingofisolatedsolarinstallationsinsenegalusingsatellitedata
_version_	1718424969307750400

Impact of temporal and spatial variability of solar resource on technical sizing of isolated solar installations in Senegal using satellite data

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