Comparison of satellite-retrieved high-resolution solar radiation datasets for South Africa

This study compares the performance of two satellite-based solar radiation methodologies for estimating the solar resource available in South Africa. Data from thirteen stations distributed in six climatic regions were considered. More than one year of hourly values of global horizontal and beam nor...

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Main Authors: Ana Gracia Amillo, Lucky Ntsangwane, Thomas Huld, Jörg Trentmann
Format: Article
Language:English
Published: University of Cape Town 2018-06-01
Series:Journal of Energy in Southern Africa
Subjects:
Online Access:https://journals.assaf.org.za/jesa/article/view/3376
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spelling doaj-81328ab836ba48b7b3ab33debab76a2e2020-11-24T23:12:20ZengUniversity of Cape TownJournal of Energy in Southern Africa1021-447X2413-30512018-06-01292637610.17159/2413-3051/2018/v29i2a33763376Comparison of satellite-retrieved high-resolution solar radiation datasets for South AfricaAna Gracia AmilloLucky NtsangwaneThomas HuldJörg TrentmannThis study compares the performance of two satellite-based solar radiation methodologies for estimating the solar resource available in South Africa. Data from thirteen stations distributed in six climatic regions were considered. More than one year of hourly values of global horizontal and beam normal irradiance were examined in the validation of the satellite-retrieved estimates at every location. The best satellite method resulted in an overall relative mean bias of 1.41% for the global horizontal irradiance corresponding to almost 3 Wm-2 and exhibited a relative mean bias of 2.85% for the beam normal irradiance estimation (about 7 Wm-2). This satellite-based method was implemented into a geographical information system module, which contained high-resolution terrain data and allowed the effect of the surrounding topography on the estimation of the available solar resource to be considered. These estimates can, therefore, be used as input data for further analysis or applications. As an example, maps of the potential output that could be expected in South Africa from photovoltaic systems were created.https://journals.assaf.org.za/jesa/article/view/3376Satellite retrieved irradianceglobal horizontal irradiancebeam normal irradianceground stations
collection DOAJ
language English
format Article
sources DOAJ
author Ana Gracia Amillo
Lucky Ntsangwane
Thomas Huld
Jörg Trentmann
spellingShingle Ana Gracia Amillo
Lucky Ntsangwane
Thomas Huld
Jörg Trentmann
Comparison of satellite-retrieved high-resolution solar radiation datasets for South Africa
Journal of Energy in Southern Africa
Satellite retrieved irradiance
global horizontal irradiance
beam normal irradiance
ground stations
author_facet Ana Gracia Amillo
Lucky Ntsangwane
Thomas Huld
Jörg Trentmann
author_sort Ana Gracia Amillo
title Comparison of satellite-retrieved high-resolution solar radiation datasets for South Africa
title_short Comparison of satellite-retrieved high-resolution solar radiation datasets for South Africa
title_full Comparison of satellite-retrieved high-resolution solar radiation datasets for South Africa
title_fullStr Comparison of satellite-retrieved high-resolution solar radiation datasets for South Africa
title_full_unstemmed Comparison of satellite-retrieved high-resolution solar radiation datasets for South Africa
title_sort comparison of satellite-retrieved high-resolution solar radiation datasets for south africa
publisher University of Cape Town
series Journal of Energy in Southern Africa
issn 1021-447X
2413-3051
publishDate 2018-06-01
description This study compares the performance of two satellite-based solar radiation methodologies for estimating the solar resource available in South Africa. Data from thirteen stations distributed in six climatic regions were considered. More than one year of hourly values of global horizontal and beam normal irradiance were examined in the validation of the satellite-retrieved estimates at every location. The best satellite method resulted in an overall relative mean bias of 1.41% for the global horizontal irradiance corresponding to almost 3 Wm-2 and exhibited a relative mean bias of 2.85% for the beam normal irradiance estimation (about 7 Wm-2). This satellite-based method was implemented into a geographical information system module, which contained high-resolution terrain data and allowed the effect of the surrounding topography on the estimation of the available solar resource to be considered. These estimates can, therefore, be used as input data for further analysis or applications. As an example, maps of the potential output that could be expected in South Africa from photovoltaic systems were created.
topic Satellite retrieved irradiance
global horizontal irradiance
beam normal irradiance
ground stations
url https://journals.assaf.org.za/jesa/article/view/3376
work_keys_str_mv AT anagraciaamillo comparisonofsatelliteretrievedhighresolutionsolarradiationdatasetsforsouthafrica
AT luckyntsangwane comparisonofsatelliteretrievedhighresolutionsolarradiationdatasetsforsouthafrica
AT thomashuld comparisonofsatelliteretrievedhighresolutionsolarradiationdatasetsforsouthafrica
AT jorgtrentmann comparisonofsatelliteretrievedhighresolutionsolarradiationdatasetsforsouthafrica
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