For solar resource assessment of solar power plants and adjustment of satellite data, high accuracy measurement data of irradiance and ancillary meteorological data is needed. For the MENA region (Middle East and Northern Africa), which is of high importance for concentrating solar power applications, so far merely 2 publicly available ground measurement stations existed (BSRN network). This gap has been filled by ten stations in Morocco, Algeria, Tunisia, Egypt and Jordan. In this publication the data quality is analyzed by evaluating data completeness and the cleanliness of irradiance sensors in comparison for all of the stations. The pyrheliometers have an average cleanliness of 99.2 % for week-daily cleaning. This is a 5 times higher effort than for Rotating Shadowband Irradiometer (RSI) stations which even have a slightly higher average cleanliness of 99.3 % for weekly cleaning. Furthermore, RSI stations show a data completeness of 99.4 % compared to 93.6 % at the stations equipped with thermal sensors. The results of this analysis are used to derive conclusions concerning instrument choice and are hence also applicable to other solar radiation measurements outside the enerMENA network. It turns out that RSIs are the more reliable and robust choice in cases of high soiling, rare station visits for cleaning and maintenance, as usual in desert sites. Furthermore, annual direct normal and global horizontal irradiation as well as average meteorological parameters are calculated for all of the stations.

1.
Wolfertstetter
,
F.
,
K.
Pottler
,
N.
Geuder
,
R.
Affolter
,
A. A.
Merrouni
,
A.
Mezrhab
, and
R.
Pitz-Paal
.
2014
. “
Monitoring of Mirror and Sensor Soiling with TraCS for Improved Quality of Ground based Irradiance Measurements
.”
Energy Procedia
no.
49
(
0
):
2422
2432
. doi: .
2.
S.
Wilbert
,
2014
.
Determination of Circumsolar Radiation and its Effect on Concentrating Solar Power
,
Dissertation, RWTH Aachen
. http://darwin.bth.rwth-aachen.de/opus3/volltexte/2014/5171/
3.
N.
Hanrieder
,
S.
Wilbert
,
R.
Pitz-Paal
,
C.
Emde
,
J.
Gasteiger
,
B.
Mayer
and
J.
Polo
,
2015
, “
Atmospheric extinction in solar tower plants: absorption and broadband correction for MOR measurements
.”
Atmos. Meas. Tech.
no.
8
:
3467
3480
. doi:
4.
N.
Geuder
,
F.
Wolfertstetter
,
S.
Wilbert
,
D.
Schüler
,
R.
Affolter
,
B.
Kraas
,
E.
Lüpfert
,
B.
Espinar
, Screening and flagging of solar irradiation and ancillary meteorological data,
SolarPACES
2014
,
Beijing, China
5.
B.
Espinar
,
L.
Wald
,
P.
Blanc
,
C.
Hoyer-Klick
,
M.
Schroedter-Homscheidt
and
T.
Wanderer
, “
Report on the harmonization and qualification of meteorological data Project
ENDORSE, Energy Downstream Service Providing Energy Components for GMES
, Grant Agreement No. 262892,
2011
. Available at http://www.endorse-fp7.eu/public_deliverables
6.
L.
Diabaté
,
J.
Remund
,
L.
Wald
, “
Linke turbidity factors for several sites in Africa
”,
Solar Energy
75
(
2003
)
111
119
7.
B.
Pape
and
J.
Batlles
, et al. (
2009
). “
Soiling impact and correction formulas in solar measurements for CSP projects
”,
SolarPACES 2009
,
Berlin, Germany
.
8.
N.
Geuder
, and
V.
Quaschning
(
2006
), “
Soiling of irradiation sensors and methods for soiling correction
”,
Solar Energy
80
(
11
):
1402
1409
.
9.
Maxwell
,
E. L.
and
S. M.
Wilcox
, et al. (
1999
), “Progress Report for Annex II--Assessment of Solar Radiation Resources in Saudi Arabia 1993-1997”,
NREL/TP-560-25374
,
National Renewable Energy Lab
.,
Golden, CO
.
10.
C.
Hoyer-Klick
,
F.
Hustig
,
M.
Schwandt
,
R.
Meyer
, “Characteristic Meteorological Years from Ground and Satellite Data”,
SolarPACES
2009
,
Berlin, Germany
11.
Saunders
,
R.W.
and
K.T.
Kriebel
,
1988
:
An improved method for detecting clear sky and cloudy radiances from AVHRR data
.
International Journal of Remote Sensing
,
9
,
123
150
12.
Kriebel
,
K.T.
,
R.W.
Saunders
and
G.
Gesell
,
1989
:
Optical Properties of Clouds Derived from Fully Cloudy AVHRR Pixels
.
Beiträge zur Physik der Atmosphäre
, Vol.
62
, No.
3
, pp.
165
171
, August 1989
13.
Gesell
,
G.
,
1989
:
An Algorithm for Snow and Ice Detection Using AVHRR Data: An Extension to the APOLLO Software Package
.
International Journal of Remote Sensing
, Vol.
10
, Nos.
4 and 5
, pp.
897
905
14.
Kriebel
K. T.
,
Gesell
G.
,
Kästner
M.
,
Mannstein
H.
,
The cloud analysis tool APOLLO: Improvements and Validation
,
Int. J. Rem. Sens.
,
24
,
2389
2408
,
2003
15.
Armstrong
S.
,
Hurley
W.G.
,
A new methodology to optimise solar energy extraction under cloudy conditions
,
Renewable Energy
35
(
2010
)
780
787
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