06/00217 Quality control of solar radiation data: Presentstatus and proposed new approaches

2006 ◽  
Vol 47 (1) ◽  
pp. 31
Energy ◽  
2005 ◽  
Vol 30 (9) ◽  
pp. 1533-1549 ◽  
Author(s):  
S. Younes ◽  
R. Claywell ◽  
T. Muneer

Solar Energy ◽  
2017 ◽  
Vol 158 ◽  
pp. 49-62 ◽  
Author(s):  
Ruben Urraca ◽  
Ana M. Gracia-Amillo ◽  
Thomas Huld ◽  
Francisco Javier Martinez-de-Pison ◽  
Jörg Trentmann ◽  
...  

Author(s):  
Lucky Ntsangwane ◽  
Venkataraman Sivakumar ◽  
Brighton Mabasa ◽  
Nosipho Zwane ◽  
Katlego Ncongwane ◽  
...  

Quality control (QC) may be a lengthy and tedious process. As a result, most data users use data from meteorological services without performing data quality checks. The South African Weather Service (SAWS) re-established the national solar radiometric network comprising of 13 new stations within the six climatic zones of the country. This study reports on the performance results of the Baseline Surface Radiation Network (BSRN) QC procedures applied to the solar radiation data within the SAWS radiometric network. The overall percentage performance of the SAWS solar radiation network based on BSRN QC methodology is 97.79%, 93.64%, 91.6% and 92.23% for Long Wave Downward Irradiance (LWD), Global Horizontal Irradiance (GHI), Diffuse Horizontal Irradiance (DHI) and Direct Normal Irradiance (DNI) respectively with operational problems largely dominating the percentage of bad data. The overall average performance of the Surface Solar Radiation Dataset – Heliosat (SARAH) data records for the GHI estimation for all the stations showed a Mean Bias Deviation (MBD) of -8.28 Wm-2, a Mean Absolute Deviation (MAD) of 9.06 Wm-2 and the Root Mean Square Deviation (RMSD) of 11.02 Wm-2. The correlation (quantified by R2) between ground-based and SARAH-derived GHI time series was ~ 0.98. The established network has the potential of providing high quality minute solar radiation data sets (GHI, DHI, DNI and LWD) and auxiliary hourly meteorological parameters vital for scientific and practical applications in renewable energy technologies in South Africa.


2019 ◽  
Vol 30 (4) ◽  
pp. 51-63
Author(s):  
Lucky Ntsangwane ◽  
Brighton Mabasa ◽  
Venkataraman Sivakumar ◽  
Nosipho Zwane ◽  
Katlego Ncongwane ◽  
...  

This study reports on the performance results of the Baseline Surface Radiation Network (BSRN) quality control procedures applied to the solar radiation data, from September 2013 to December 2017, within the South African Weather Service radiometric network. The overall percentage performance of the SAWS solar radiation network based on BSRN quality control methodology was 97.79%, 93.64%, 91.60% and 92.23% for long wave downward irradiance (LWD), global horizontal irradiance (GHI), diffuse horizontal irradiance (DHI) and direct normal irradiance (DNI), respectively, with operational problems largely dominating the percentage of bad data. The overall average performance of the surface solar radiation dataset – Heliosat data records for the GHI estimation for all stations showed a mean bias deviation of 8.28 Wm-2, a mean absolute deviation of 9.06 Wm-2 and the root mean square deviation of 11.02 Wm-2. The correlation, quantified by the square of correlation coefficient (R2), between ground-based and Heliosat-derived GHI time series was ~0.98. The established network has the potential to provide high quality minute solar radiation data sets (GHI, DHI, DNI and LWD) and auxiliary hourly meteorological parameters vital for scientific and practical applications in renewable energy technologies.


2015 ◽  
Vol 78 ◽  
pp. 531-537 ◽  
Author(s):  
S. Moreno-Tejera ◽  
L. Ramírez-Santigosa ◽  
M.A. Silva-Pérez

Solar Energy ◽  
1980 ◽  
Vol 25 (2) ◽  
pp. 131-138 ◽  
Author(s):  
Gerd Wendler ◽  
Frank D. Eaton

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