pvgis
-
Upload
ivo-zlatunic -
Category
Documents
-
view
613 -
download
1
Transcript of pvgis
![Page 1: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/1.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 1
Integrating CM SAF data with PVGIS for Estimation of Solar Energy System
Performance
Thomas Huld, Richard Müller, Attilio Gambardella
![Page 2: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/2.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 2
Solar data needs for solar energy applicationsSolar radiation data are needed for solar energy system
planning, deployment and operation, but the type of data needed varies
• Spatial resolution: generally as high as possible
• Historical data needed for planning/deployment, recent data (or forecasts) needed for operation/monitoring
• Long-term averages are sufficient for some applications, while high time resolution is useful for others
![Page 3: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/3.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 3
Solar Energy Systems
Two main groups:• Thermal systems
– Domestic hot water and space heating– Concentrating solar thermal power plants
• Photovoltaic (PV) systems– Fixed mounted flat-plate systems, stand-alone– Fixed mounted flat-plate systems, grid-connected– Sun-tracking flat-plate systems– Sun-tracking concentrating systems
![Page 4: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/4.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 4
Data needs for solar energy estimation
• Flat-plate grid-connected PV: global and diffuse/beam long-term monthly averages. Tracking systems are more sensitive to the beam component
• Off-grid PV and solar hot water systems: long time series of hourly/daily global and diffuse/beam values
• Concentrating PV: direct normal irradiance (DNI), at least long-term monthly averages
• Solar thermal power plants: long time series of DNI
![Page 5: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/5.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 5
What is PVGIS?
• PVGIS is a database of solar radiation and temperature data combined with a web interface that lets users calculate the energy output of photovoltaic (PV) systems.
• PVGIS is also a scientific tool that allows us to do research on the performance of PV systems over large geographical areas and estimate the potential for solar energy deployment in Europe and Africa
![Page 6: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/6.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 6
What is PVGIS? (2)
• The PVGIS solar radiation databases for Europe and Africa were obtained in the following way:– Europe: Long-term monthly averages global and diffuse irradiation
from ground stations are interpolated onto a spatial grid. Data collected by ESRA over the period 1981-1990
– Africa: Daily values of global irradiation sums from the HelioClim-1 database, estimated from MFG satellite data, with a spatial resolution of 15’. Time period 1985-2004
• The online calculation also includes the effects of shadows from nearby mountains. The shadow calculation is based on the SRTM-3 DEM with a resolution of 3 arc-seconds (~90m at the equator).
![Page 7: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/7.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 7
Web interface features
• Covers Europe and Africa• Various types of PV installations: fixed or tracking, models
for different PV technologies• High-resolution terrain data allows calculation of the effects
of shadowing• Google Maps interface with search and zoom facilities.
![Page 8: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/8.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 8
Click here
Then click here
1000-2000 hitsper day
![Page 9: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/9.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 9
Reasons for success
•Simple interface: 2 clicks and you have results•Easily understood results: energy production in kWh•Immediate access:
–Relevant information is not buried 8 menu levels deep–No registration needed–It’s free!
![Page 10: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/10.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 10
Research applications
• Mathematical models of PV performance, together with our colleagues of the ESTI laboratory
• Performance of PV technologies in different climates• Performance of different PV mounting strategies• Potential for PV in rural electrification in Africa
![Page 11: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/11.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 11
PVGIS: Known problems
• Europe: Heterogeneous spatial distribution of ground station data. Some ground station data not reliable. Data are old.
• Africa: Lack of diffuse component. Low primary spatial resolution, and lack of validation.
• General: beam irradiance is not good enough to calculate DNI with any confidence. Time resolution too low for some applications.
![Page 12: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/12.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 12
A wish list of Improvements
• Quality improvements in the solar radiation data• Higher temporal resolution, for research on intermittency and
for off-grid PV installations• Direct normal irradiance for concentrating PV applications• My pipe dream: PVGIS Asia
Collaboration with CM SAF via DWD on high-resolution satellite-based data. Incorporation into PVGIS in 2010.
![Page 13: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/13.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 13
Radiation data from CM SAF MSG:
• 4 years of hourly global and beam data, 06-2006 to 05-2010• Geographical coverage: Most of Europe and North Africa:
20N to 58N, 15W to 35E• Spatial resolution 1’30’’ (about 2.5km).
MFG:• 8 years of hourly global and beam data, 1998-2005• Covers most of Europe and North Africa: 0N to 58N, 15W to
35E• Spatial resolution 1’48’’
![Page 14: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/14.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 14
Construction of the new PVGIS dataset• Calculation of long-term monthly averages:
– Calculate multiyear average of each time slot for beam and global– Then sum all average time slots in each month– Overall average is arithmetic average of MFG and MSG data
• Calculate monthly beam and diffuse clear-sky indices as needed for the PVGIS algorithm
• Downscaling so far only includes terrain shadows in the online calculation
![Page 15: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/15.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 15
Comparison of PVGIS-3 with CM-SAF and other datasets
• Europe:– PVGIS vs. CM-SAF data from MFG and MSG– PVGIS vs. an average of four datasets:
Helioclim-3 (MSG-based)SatelLight (MFG-based)Meteonorm (mainly based on ground stations)NASA SSE (various sources)
• Africa:– PVGIS (HelioClim-1) vs. CM-SAF data from MFG
![Page 16: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/16.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 16
Differences from existing PVGIS
PVGIS-3 vs. CM-SAF PVGIS-3 vs. 4 datasets
Global horizontal, relative difference in annual average
![Page 17: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/17.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 17
Global irradiation, comparison CM-SAF and PVGIS-3
Location MSG bias(%)
MFG bias (%)
CM-SAF –PVGIS (%)
Lindenberg (DE) -3.4 -3.0 +6.9
Cabauw (NL) +0.4 +1.5 +11.6
Carpentras (FR) +2.1 +5.1 +9.0
Payerne (CH) -3.0 +3.7 +13.2
Camborne (UK) - +6.2 +8.4
Ispra (IT) +8.0 - +15.0
Milano (IT) -0.5 - +13.0
![Page 18: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/18.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 18
Differences from PVGIS-3, Africa
PVGIS-3 CM-SAF MFG
Global horizontal, long-term annual average
![Page 19: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/19.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 19
Differences from PVGIS-3, Africa
Global horizontal, relative difference in annual average
![Page 20: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/20.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 20
First steps in validation of DNI
MSG MFGBSRN station Months MBE (%) Months MBE (%)
Sde Boqer (IL) 26 +5.5 21 +1.5
Cabauw (NL) 36 +4.8 11 +14.9
Carpentras (FR) 24 +2.5 22 +8.6
Payerne (CH) 22 -4.4 24 +9.6
Tamanrasset (DZ) 36 -9.1 24 -5.9
Camborne (UK) 23 +18.2
Relative MBE between CM SAF and BSRN stations
![Page 21: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/21.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 21
Future developments
• New version of PVGIS with choice of datasets (1-2 weeks)• Extension of spatial coverage of CM SAF data in PVGIS (if
Richard can fit it into his schedule)• Incorporation of high time-resolution data from CM SAF to
calculate off-grid systems in Europe (~end of year)• Making DNI available in the PVGIS web application (2011)• PVGIS Asia (2011?)
![Page 22: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/22.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 22
Conclusions
• Successful collaboration between CM SAF and JRC• Clear improvements in some regions with high solar energy
penetration, such as Northern Italy• DNI data look very encouraging• Higher-resolution data allow us to do useful new stuff• PVGIS saved from slow decline into irrelevancy
![Page 23: pvgis](https://reader034.fdocuments.in/reader034/viewer/2022051322/543db97fafaf9fac0a8b4b13/html5/thumbnails/23.jpg)
CM-SAF 3rd User Workshop, Rostock, 06-08/09/2010 23
THANKS to:
The CM-SAF teams for producing a high-quality solar radiation data set, and making it available!
YOU, for your patience