Several actions point to the fact that a more climate-resilient economy and society must be built in each country, such as measures aimed at reducing fuel consumption for energy production, emphasis on energy efficiency and conservation as well as on power generation from renewable sources such as the Sun.
Our research effort has been geared toward providing a solution to this problem by developing a accurate and fast system for the calculation of surface solar radiation spectra at high resolution and frequency using geostationary satellite data where cloud and aerosol effects are implicit.
We have developed a new system for satellite retrieval of high frequency, high spatial resolution, direct normal, global and diffuse horizontal irradiance (DNI, GHI and DHI) spectra at the Earth’s surface that include the effects of clouds and aerosol. The total DNI, GHI and DHI in each pixel is a reliable estimate of the solar energy, whatever the weather.
SOLEA is one of the main pilot studies of the HORIZON’s 2020 GEO-CRADLE project. Under the description name SENSE (Solar Energy Nowcasting SystEm) it will be a starting point for energy related investments and innovative high-end applications and technologies.
RECORD LOOK-UP TABLE OF ATMOSPHERIC CONDITIONS
DAYS OF RADIATIVE TRANSFER SIMULATIONS ON 16 CPUS
PIXELS OF INSOLATION SPECTRA & UV PRODUCTS PER MINUTE
HOURS SHORT-TERM ENERGY FORECAST EVERY 15-MINUTES
In each 0.05 x 0.05 degree pixel of the Earth disc seen from the geostationary Meteosat Second Generation (MSG) satellite , we forecast the direct normal irradiance (DNI), the global horizontal irradiance (GHI) and the diffuse horizontal irradiance (DHI) spectrum over the wavelength range 285-2600nm every 15-minutes.
By applying erythemal weighting functions to the ultraviolet part of the irradiance spectra, the UV index, the estimated dose of Vitamin D and the photosynthetically-active radiation is instantly calculated.
An active line of solar energy exploitation involves the development of high resolution solar atlases of GHI and DNI. The DNI atlas maps applies to Concentrated Solar Plants (CSP), while the GHI maps applies to PhotoVoltaic installations (PV).
Institute for Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens
School of Chemical Engineering
National Technical University of Athens
Schmid College of Science and Technology
Chapman University, US