Concentrating solar power projects require accurate direct normal irradiance (DNI) data including uncertainty specifications for plant layout and cost calculations. Ground measured data are necessary to obtain the required level of accuracy and are often obtained with Rotating Shadowband Irradiometers (RSI) that use photodiode pyranometers and correction functions to account for systematic effects. The uncertainty of Si-pyranometers has been investigated, but so far basically empirical studies were published or decisive uncertainty influences had to be estimated based on experience in analytical studies. One of the most crucial estimated influences is the spectral irradiance error because Si-photodiode-pyranometers only detect visible and color infrared radiation and have a spectral response that varies strongly within this wavelength interval. Furthermore, analytic studies did not discuss the role of correction functions and the uncertainty introduced by imperfect shading. In order to further improve the bankability of RSI and Si-pyranometer data, a detailed uncertainty analysis following the Guide to the Expression of Uncertainty in Measurement (GUM) has been carried out. The study defines a method for the derivation of the spectral error and spectral uncertainties and presents quantitative values of the spectral and overall uncertainties. Data from the PSA station in southern Spain was selected for the analysis. Average standard uncertainties for corrected 10 min data of 2 % for global horizontal irradiance (GHI), and 2.9 % for DNI (for GHI and DNI over 300 W/m²) were found for the 2012 yearly dataset when separate GHI and DHI calibration constants were used. Also the uncertainty in 1 min resolution was analyzed. The effect of correction functions is significant. The uncertainties found in this study are consistent with results of previous empirical studies.

1.
Harrison
,
L.
, et al (
1994
).
Automated multifilter rotating shadow-band radiometer: an instrument for optical depth and radiation measurements
.
Applied Optics
33
(
22
):
5118
5125
.
2.
Vuilleumier
,
L.
 et al (
2014
).
Accuracy of ground surface broadband shortwave radiation monitoring
.
Journal of Geophysical Research: Atmospheres.
3.
Reda
,
I.
(
2011
).
Method to calculate uncertainties in measuring shortwave solar irradiance using thermopile and semiconductor solar radiometers
.
Technical Report NREL/TP-3B10-52194.
4.
Wilcox
,
S.
and
D. R.
Myers
(
2008
).
Evaluation of Radiometers in Full-Time Use at the National Renewable Energy Laboratory, Solar Radiation Research Laboratory
, Technical report.
5.
Geuder
,
N.
, et al (
2011
).
Comparison of Corrections and Calibration Procedures for Rotating Shadowband Irradiance Sensors
.
SolarPACES Conference
,
Granada, Spain
.
6.
Sengupta
,
M.
 et al (
2015
).
Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications
.
Technical Report NREL/TP-5D00-63112.
7.
Vignola
,
F.
, et al (
2014
).
Effects of changing spectral radiation distribution on the performance of photodiode pyranometers. ASME
.
Also submitted to Journal of Solar Energy.
8.
Blackburn
,
G.
and
Vignola
,
F.
(
2012
).
Spectral Distributions of Diffuse and Global Irradiance for Clear and Cloudy Periods.
World Renewable Energy Forum
,
Denver, CO
.
9.
Myers
,
D.
(
2011
). Quantitative analysis of spectral impacts on silicon photodiode radiometers.
Solar Conf
.,
Raleigh, NC
, (17–21 May 2011).
10.
ASTM
(
2006
).
G 173-03. Standard Tables for Reference Solar Spectral Irradiances: Direct Normal and Hemispherical on 37° Tilted Surface
.
ASTM International.
11.
Gueymard
,
C.
(
2001
).
Parameterized transmittance model for direct beam and circumsolar spectral irradiance
.
Solar Energy
71
(
5
):
325
346
.
12.
Lynch
,
D.
(
2015
). LI-COR: personal communication to S. Kleindiek. March 2015.
13.
Nann
,
S.
and
C.
Riordan
(
1991
).
Solar spectral irradiance under clear and cloudy skies: Measurements and a semiempirical model
.
Journal of Applied Meteorology
30
(
4
):
447
462
.
14.
King
,
D. L.
 et al (
1998
).
Improved Accuracy for Low-Cost Solar Irradiance Sensors
,
2nd World Conference and Exhibition on Photovoltaic Solar Energy Conversion Proceedings
; July 6-10,
Vienna, Austria
.
15.
Vignola
,
F.
(
2006
).
Removing Systematic Errors from Rotating Shadowband Pyranometer Data
.
ASES.
16.
Geuder
, et al (
2008
).
Corrections for rotating shadowband pyranometers for solar resource assessment
,
Proceedings of SPIE 70460, International Society for Optical Engineering
.
17.
LI-COR: LI-COR Terrestrial Radiation Sensors - Instruction Manual,
2005
.
18.
Biggs
,
William
W.
:
Principles of Radiation Measurement LI-COR.
1984
. Tech. Report.
19.
Geuder
,
N.
, et al (
2014
).
Long-term Behavior, Accuracy and Drift of LI-200 Pyranometers as Radiation Sensors in Rotating Shadowband Irradiometers (RSI
).
Energy Procedia
49
:
2330
2339
.
20.
Wilbert
,
S.
, et al (
2015
).
Best Practices for Solar Irradiance Measurements with Rotating Shadowband Irradiometers
.
IEA SHC Task 46 report.
http://task46.iea-shc.org/data/sites/1/publications/INSRSI_IEA-Task46B1_BestPractices-RSI_150819.pdf.
21.
Campbell Scientific, Inc.
:
CR1000 Measurement and Control System - A Rugged Instrument with Research-Grade Performance
.
Specifications
, April
2005
22.
Ineichen
,
P.
and
R.
Perez
(
2002
). “
A new airmass independent formulation for the Linke turbidity coefficient
.”
Solar Energy
73
(
3
):
151
157
.
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