Sources of uncertainty in annual global horizontal irradiance data

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http://hdl.handle.net/10138/299963

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Urraca , R , Huld , T , Javier Martinez-de-Pison , F & Sanz-Garcia , A 2018 , ' Sources of uncertainty in annual global horizontal irradiance data ' , Solar Energy , vol. 170 , pp. 873-884 . https://doi.org/10.1016/j.solener.2018.06.005

Title: Sources of uncertainty in annual global horizontal irradiance data
Author: Urraca, Ruben; Huld, Thomas; Javier Martinez-de-Pison, Francisco; Sanz-Garcia, Andres
Other contributor: University of Helsinki, Division of Pharmaceutical Biosciences
Date: 2018-08
Language: eng
Number of pages: 12
Belongs to series: Solar Energy
ISSN: 0038-092X
DOI: https://doi.org/10.1016/j.solener.2018.06.005
URI: http://hdl.handle.net/10138/299963
Abstract: The major sources of uncertainty in short-term assessment of global horizontal radiation (G) are the pyranometer type and their operation conditions for measurements, whereas the modeling approach and the geographic location are critical for estimations. The influence of all these factors in the uncertainty of the data has rarely been compared. Conversely, solar radiation data users are increasingly demanding more accurate uncertainty estimations. Here we compare the annual bias and uncertainty of all the mentioned factors using 732 weather stations located in Spain, two satellite-based products and three reanalyses. The largest uncertainties were associated to operational errors such as shading (bias = - 8.0%) or soiling (bias = - 9.4%), which occurred frequently in low-quality monitoring networks but are rarely detected because they pass conventional QC tests. Uncertainty in estimations greatly changed from reanalysis to satellite-based products, ranging from the gross accuracy of ERA-Interim (+ 6.1(-6.7)(+)(1)(8.)(8)%) to the high quality and spatial homogeneity of SARAH-1 (+ 1.4(-5.3)(+)(5.6)%). Finally, photodiodes from the Spanish agricultural network SIAR showed an uncertainty of (+6.)(9)(-5.4)%, which is far greater than that of secondary standards (+/- 1.5%) and similar to SARAH-1. This is probably caused by the presence of undetectable operational errors and the use of uncorrected photodiodes. Photodiode measurements from low-quality monitoring networks such as SIAR should be used with caution, because the chances of adding extra uncertainties due to poor maintenance or inadequate calibration considerably increase.
Subject: Horizontal irradiance
Uncertainty
Satellite-based model
Pyranometer
Quality control
SOLAR-RADIATION DATA
ERA-INTERIM
QUALITY-CONTROL
SATELLITE
PERFORMANCE
VALIDATION
REANALYSES
SENSORS
114 Physical sciences
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