Recent Advances in Solar Resource Assessments2016/09/18 20. Zambia measurements: comparison with Solargis Bias (systematic deviation): GHI: 6.5% DIN: 16.9%. Latest Generation Satellite
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Recent Advances in Solar Resource Assessments
Mr Riaan MeyerManaging Director, GeoSUN Africa
CONTENT
1. Solar Resource Assessment
2. Typical approach
3. Recent advances
4. The future
3
GeoSUN Africa in one page…
PROSPECT CONSTRUCT OPERATE
Design and supply of SCADAweather stations
Solar Maps & DataGround MeasurementsYield Reports
Calibration, inspection and testing services
Solar Resource Assessment
Solar Resource Assessment
1 Traditional Approach
Thermopile Pyranometer
Silicon (Photo-electric) Pyranometer
Ground Measurements
Pyranometer SelectionSecond Class, uncertainty < 10% (daily), <20% (hourly)
Secondary Standard, uncertainty < 2% (daily). <3% (hourly)
DateMeasured GHI
[kWh/d)
2014/03/10 00:00 0
2014/03/10 01:00 0
2014/03/10 02:00 0
2014/03/10 03:00 0
2014/03/10 04:00 0
2014/03/10 05:00 0
2014/03/10 06:00 0
2014/03/10 07:00 23
2014/03/10 08:00 215
2014/03/10 09:00 460
2014/03/10 10:00 679
2014/03/10 11:00 852
2014/03/10 12:00 959
2014/03/10 13:00 1003
2014/03/10 14:00 977
2014/03/10 15:00 878
2014/03/10 16:00 706
2014/03/10 17:00 491
2014/03/10 18:00 246
2014/03/10 19:00 36
2014/03/10 20:00 0
2014/03/10 21:00 0
2014/03/10 22:00 0
2014/03/10 23:00 0
Satellite Derived Solar Data
Top View
Side View
Orbiting SatellitesGeostationary Satellite
10
11
Scattering and absorption (ca. 15%)
Absorption (ca. 1%)
Scatter and Absorption
( ca. 15%, max. 100%)
Reflection, Scatter, Absorption (max. 100%)
Absorption (ca. 15%)
Ozone.……….…....
Aerosol…….………..…..
Water Vapor……...………
Clouds………….………..
Air molecules..……
Radiation at the top
of atmosphere
Aerosol Optical Depth(AOD) 125 km (6 hours)
Water vapour 35 km (6 h)
Satellite Derived data – how does it work? 12
Satellite Derived Maps – 110 x 90 km
Satellite Derived Maps – 40 x 40 km
1. text
2538
2490
23732405
2482
2420 2416 2385
2461
26042566
2647
2434
2686
2508 2484
2412
2495 2489
2200
2250
2300
2350
2400
2450
2500
2550
2600
2650
2700
2750
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
Aver
age
DN
I [(k
Wh
/m2/a
]
0
1
2
3
4
5
6
7
8
9
10
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
kWh
/m2/d
ay
DNI Min DNI Max DNI Average (1994 - 2011)
DateMeasured GHI
[kWh/d)SolarGIS GHI
[kWh/d]
2014/03/10 00:00 0 0
2014/03/10 01:00 0 0
2014/03/10 02:00 0 0
2014/03/10 03:00 0 0
2014/03/10 04:00 0 0
2014/03/10 05:00 0 0
2014/03/10 06:00 0 0
2014/03/10 07:00 23 13
2014/03/10 08:00 215 185
2014/03/10 09:00 460 423
2014/03/10 10:00 679 648
2014/03/10 11:00 852 832
2014/03/10 12:00 959 955
2014/03/10 13:00 1003 1004
2014/03/10 14:00 977 977
2014/03/10 15:00 878 874
2014/03/10 16:00 706 707
2014/03/10 17:00 491 493
2014/03/10 18:00 246 257
2014/03/10 19:00 36 46
2014/03/10 20:00 0 0
2014/03/10 21:00 0 0
2014/03/10 22:00 0 0
2014/03/10 23:00 0 0
Satellite
Derived
Data
Date/Time GHI Ground [kWh/m2]
2012/11/03 05:00 0
2012/11/03 06:00 0
2012/11/03 07:00 16
2012/11/03 08:00 186
2012/11/03 09:00 431
2012/11/03 10:00 669
2012/11/03 11:00 866
2012/11/03 12:00 1012
2012/11/03 13:00 1087
2012/11/03 14:00 1085
2012/11/03 15:00 1028
2012/11/03 16:00 896
2012/11/03 17:00 702
2012/11/03 18:00 421
2012/11/03 19:00 209
2012/11/03 20:00 29
2012/11/03 21:00 0
2012/11/03 22:00 0
0
200
400
600
800
1000
1200
03
:00
:00
04
:00
:00
05
:00
:00
06
:00
:00
07
:00
:00
08
:00
:00
09
:00
:00
10
:00
:00
11
:00
:00
12
:00
:00
13
:00
:00
14
:00
:00
15
:00
:00
16
:00
:00
17
:00
:00
18
:00
:00
19
:00
:00
20
:00
:00
21
:00
:00
22
:00
:00
DNI Ground [kWh/m2]
(Uncertainty of hourly values)
GHI – 12% to 45%
DNI – higher than GHIGHI – 4% to 8%
DNI – 8% to 15%(Uncertainty of annual values)
17
Satellite Derived vs Measured
Data
2
3
4
5
6
1-J
un
-11
4-J
un
-11
7-J
un
-11
10
-Ju
n-1
1
13
-Ju
n-1
1
16
-Ju
n-1
1
19
-Ju
n-1
1
22
-Ju
n-1
1
25
-Ju
n-1
1
28
-Ju
n-1
1
GH
I -d
aily
to
tal [
kWh
/m2 /
day
]
GHI - Satellite HC-3 GHI - Ground measured GHI - Satellite SGIS
0
2
4
6
8
10
1-N
ov-
11
3-N
ov-
11
5-N
ov-
11
7-N
ov-
11
9-N
ov-
11
11
-No
v-1
1
13
-No
v-1
1
15
-No
v-1
1
17
-No
v-1
1
19
-No
v-1
1
21
-No
v-1
1
23
-No
v-1
1
25
-No
v-1
1
27
-No
v-1
1
29
-No
v-1
1
GH
I -d
aily
to
tal [
kWh
/m2 /
day
]
GHI - Ground measured GHI - SolarGIS
HC-3 Satellite
Derived vsMeasured
Data
0.0
2.5
5.0
7.5
10.0
12.5
15.0
1-F
eb
-11
4-F
eb
-11
7-F
eb
-11
10
-Fe
b-1
1
13
-Fe
b-1
1
16
-Fe
b-1
1
19
-Fe
b-1
1
22
-Fe
b-1
1
25
-Fe
b-1
1
28
-Fe
b-1
1
DN
I -
dai
ly t
ota
l [kW
h/m
2 /d
ay]
DNI - Ground measured DNI - Satellite
0.0
2.5
5.0
7.5
10.0
12.5
15.0
1-M
ay-1
1
4-M
ay-1
1
7-M
ay-1
1
10
-May
-11
13
-May
-11
16
-May
-11
19
-May
-11
22
-May
-11
25
-May
-11
28
-May
-11
31
-May
-11
DN
I -
dai
ly t
ota
l [kW
h/m
2 /d
ay]
DNI - Ground measured DNI - Satellite
Broken Clouds
2016/09/18 20
Zambia measurements: comparison with Solargis
Bias (systematic deviation):GHI: 6.5%DIN: 16.9%
Latest GenerationSatellite Derived
Thank you / AsanteContact DetailsMr Riaan Meyer, MD, 084 876 4816Unit 1, CS Africa building, 1 Meson street Technopark, Stellenbosch, 7600, South Africariaan.meyer@geosun.co.za www.geosun.co.za
GeoSUN Colaborators GeoSUN Clients
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