1. KLAUS KDA4 – Solar Irradiance Monitoring Application
KLAUS Contract Kick-off
KLAUS KDA4 – Solar Irradiance Monitoring Application
Progress Meeting 7
09 Jun. 2011
KLAUS Progress Meeting 7

2. KLAUS Progress Meeting 7
Structure
Critical User Requirements
System Architecture
Implementation
Test and Validation
User Manual
Future steps:
Performance Evaluation
TTO
Delivered Items
KLAUS Progress Meeting 7

3. KLAUS Progress Meeting 7
KDA3 Pursued Approach
Users Identification
User Requirements Collection
URD -> Technical Specifications
TS -> Software implementation / Delivery to users
Users Service usage and validation
Service delivery to ESA
KLAUS Progress Meeting 7

4. Critical User Requirements
[KDA4-UR 01] The KDA shall provide real-time availability of solar radiation data [KDA4-UR 02] The KDA shall give the possibility to fill in the masks the geographical coordinates to identify the site; [KDA4-UR 04] The KDA shall give Possibility to estimate the energy production for the PV system, based on the total power installed and on the geographical site. [KDA4-UR 08] The KDA shall provide DNI information. [KDA4-UR 09] The KDA shall provide DBSR information per day with a field of view of 5°. [KDA4-UR 14] The KDA shall provide the possibility to choose the efficiency values of the CPV system to obtain the energy production values. [KDA4-UR 15] The KDA shall provide the Monthly Average Daily Global Solar Radiation (MADGSR) on ground values [KDA4-UR 16] The KDA shall provide a clear indication of the field error estimation (confidence range) over MADGSR. [KDA4-UR 17] The KDA should provide the affection, on the estimation of MADGSR on ground values, caused by the presence of fog [KDA4-UR 18] the KDA shall provide an interface as much similar as possible to the ones already used by the end user
KLAUS Progress Meeting 7

5. KLAUS Progress Meeting 7
System Architecture
Proposed Approach
One SSE Service to satisfy users needs
Retrieval of sun position angles
Definition of a geometric model for shadows identification (using STRM digital terrain model)
Use of Satellite data for real radiation measurements (including clouds and fog effects) (using SEVIRI-Retrieved Downwelling
KLAUS Progress Meeting 7

6. Overall System Breakdown
Radiation DB data extractor SSE backend:
1. Identification of the STRM cell 2. Identification of the STRM pixel 3. calculation of the sun position/shadow information for the requested period, if any 4. identification of the Meteosat pixel (DB2) 5. Extraction of the irradiance information for the requested period, if any (DB1)
SSE Portal
-product
Lat, lon
- [Time frame]
[plant efficency]
[plant information]
DB 1 Meteosat Radiation database (1701 x 651 x 2.5 years)
1.7 GB
DB 2 Meteosat over SRTM remapping (6000 x 6000) x 40 (one for each SRTM scene) 202 MB
Level 2 Processor SSE backend:
- radiation information extraction - Radiation to power - standard - Radiation to power - concentration panels - MADGSR
KLAUS Progress Meeting 7

7. Implemented Solar Irradiance Monitoring Service
KLAUS Progress Meeting 7

8. Implemented Solar Irradiance Monitoring Service: order first Product
Classic PV plants performance estimation: plant size (power) an installation geometry is needed.
KLAUS Progress Meeting 7

9. Implemented Solar Irradiance Monitoring Service: order second Product
DBSR Product: daily direct beam solar raditation information provision in the user-defined time range
KLAUS Progress Meeting 7

10. Implemented Solar Irradiance Monitoring Service: order Third Product
DNI Product: 30 min direct normal irradiance values, including sun-position angles, in the user-defined time range
KLAUS Progress Meeting 7

11. Implemented Solar Irradiance Monitoring Service : Order result
The results of Order are available via FTP as text files
KLAUS Progress Meeting 7

12. Analysis of provided results: shadowing
The presence of shadow is directly taken into account and showed in the results as negative sun azimuth values. Pixels with Null radiation and negative azimuth are un shadow or low (< 5°) sun elevation conditions The impact of shadows is taken into account in the computation of all parameters, but it is explicitly showed in the DNI product
KLAUS Progress Meeting 7

13. Analysis of provided results: shadowing
Time evolution over Rovereto, Trento, Italy (DNI, Angles)
2008/12/20
2008/11/20
2009/01/20
2009/02/20
2009/03/20
KLAUS Progress Meeting 7

14. Analysis of provided results: Cloud effect
The presence of clouds affects directly the radiation coming to Earth, thus the DSSF input product Pixels with Null radiation but positive azimuth value are affected by cloud coverage Pixels with low values radiation but positive azimuth value are affected by thin clouds or fog coverage The impact of clouds/fog is taken into account in the computation of all parameters, but it is explicitly showed in the DNI product
KLAUS Progress Meeting 7

15. Analysis of provided results: Cloud effect
Clouds over Rovereto, Trento, Italy (DNI, Angles) 2009/04/20
KLAUS Progress Meeting 7

16. KLAUS Progress Meeting 7
Errors Computation
Sun Elevation
Projection Error
Pixel error 5
731,
8,128037 10
362,
4,032912 15
238,
2,653903 20
175,
1,953762 25
137,
1,524983 30
110,
1,231681 35
91,
1,015572 40
76,
0,847469 45 64
0,711111 50
53,
0,596693 55
44,
0,497925 60
36,
0,41056 65
29,
0,331597 70
23,
0,258823 75
17,
0,190542 80
11,
0,125388 85 5,
0,062214
Explicit Error estimation was requested by the users
Errors can be considered are:
Errors derived by satellite images
in the order of few tenth of Wm-2
Errors derived by computation
Depends on observation SRTM error (±16m)
Variation on shadow assignment, depending on sun elevation
KLAUS Progress Meeting 7

17. Advances with respect to the state of the art
There is no available services for solar radiation and plant power generation estimation that takes into account simultaneously geometric modeling and real radiation information (including clouds and fogs effect)
Improvements can be done
making the system automatically updated
improving the DSSF computation
improving the resolution of the reference geometric model
KLAUS Progress Meeting 7

18. KLAUS Progress Meeting 7
Future Activities
Performance Evaluation (31 July 2011)
TTO (31 July 2011)
KLAUS Progress Meeting 7

19. KLAUS Progress Meeting 7
Delivered Items
D5.4.3
KLAUS_D5.4.3_1.0_FD Solar irradiance monitoring Application: KEO FEP and SSE Services description document. Issue 1.0
KLAUS_D5.4.3_1.0_UM KDA4 Solar Irradiance Monitoring Application – KEO FEP and SSE Services User Manual. Issue 1.0
D5.4.4
KLAUS_D5.4.4_1.0_TN Solar irradiance monitoring applications – KDA complete description, validation results and open issues . Issue 1.0
D5.4.5
KLAUS_D5.4.5_1.0_STP KDA4 Solar Irradiance Monitoring Application - SSE Software Test Plan. Issue 1.0
KLAUS_D5.4.5_1.0_STR KDA4 Solar Irradiance Monitoring Application - SSE Software Test Report. Issue 1.0
KLAUS Progress Meeting 7