Over the last years we have invested a lot in creating the most reliable and detailed global solar resource database. We have made some of the data public in the form of free image maps that are widely shared within the solar industry.
Today onwards, we are also opening access to long-term annual averages of key solar parameters GHI, DIF, and DNI via Solargis iMaps prospecting tool. This will be the first time that a global solar radiation database with spatial resolution higher than 1 km is accessible for free.
GeoModel Solar decided to change the company name from GeoModel Solar to Solargis. As a part of the change, our company website http://geomodelsolar.eu will be migrated to a new website http://solargis.com. For certain time, Solargis online apps and data services (FTP and Web Service) will continue to remain available via solargis.info and geomodel.eu domains until further notice. Our company email addresses are also migrated to the @solargis.com.
Although we are retiring the GeoModel Solar name, our team remains the same. We’d like to thank you for your continued support and look forward to serving you for more years to come. From mid-June onwards you will be automatically re-directed to our new company website when visiting http://geomodelsolar.eu.
We shared our knowledge with professionals in solar energy industry in China during Assessment of solar resource measurement technology exchange event, organized by our partner RETEC.
Mr Marcel Suri (managing director of Solargis) was also interviewed by journalists from CSPPLAZA. The disscussion was focused on the state-of-art techniques in solar modelling, the importance of using reliable data for the solar power industry or the specific challenges faced on solar resource assessment in China.
The EU PVSEC is the largest international conference for photovoltaic research, technologies and applications. It gathers the global PV community to conduct business, to network and to present and discuss the latest developments and innovations in Photovoltaics. This year, the conference is held in parallel with the world's leading exhibitions Intersolar Europe at ICC in Munich.
We will present three contributions on different topics: Performance assessment of PV power plants, Solargis solar resource and meteorological database and we introduce global PV electricity potential map.
In collaboration with our partners, GeoSUN Africa and Suntrace, we have recently installed a total of 10 solar measuring stations across Zambia and Maldives. The measurement campaign is part of the World-Bank funded ESMAP project to improve quality of solar resource data available for different regions.
COP 21 has just taken place. A highlight for the solar industry was the launch of the International Solar Energy Alliance. Straightforward messages and ambitious goals towards solar energy development were presented by India's prime minister Modi and French president Hollande.
We were delighted to note that SolarGIS world map was used as a backdrop throughout the launch event. In recognition of the popularity of the SolarGIS maps, we have just released updated versions of world GHI and DNI maps, now completely covering the land between latitudes 60°N and 60°S.
Accurate solar resource data is needed for planning, engineering and financing of a solar energy project. Site adaptation is an approach of reducing uncertainty in the estimate of solar resource by combining satellite-based long-term time series with short-term high-accuracy ground data measured near the project site.
We presented a review of methods and the SolarGIS approach at the SolarPACES 2015 conference held in Cape Town, in September 2015. Our experience shows that the best-achievable uncertainty of long-term assessment of annual values based on combining satellite and ground-measured data approximates to ±2% for GHI, and ±3.5% for DNI. This can be compared to the best-achievable uncertainty of the annual estimates of the SolarGIS satellite-based solar radiation model, which approximates to ±3.5% for GHI, and ±8% for DNI. The uncertainty is considered for 80% probability of occurrence, which translates to 90% probability of exceedance that is commonly used for calculation of P90 values.