TY - JOUR AU - Amillo, Ana Gracia AU - Ntsangwane, Lucky AU - Huld, Thomas AU - Trentmann, Jörg PY - 2018/06/22 Y2 - 2024/03/28 TI - Comparison of satellite-retrieved high-resolution solar radiation datasets for South Africa JF - Journal of Energy in Southern Africa JA - J. energy South. Afr. VL - 29 IS - 2 SE - Articles DO - 10.17159/2413-3051/2018/v29i2a3376 UR - https://energyjournal.africa/article/view/3376 SP - 63-76 AB - <p><span lang="EN-US"><span style="font-family: Arial; font-size: small;">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<sup>-2</sup> and exhibited a relative mean bias of 2.85% for the beam normal irradiance estimation (about 7 Wm<sup>-2</sup>). 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.</span></span></p> ER -