Direct Normal Irradiance Nowcasting methods for optimized operation of concentrating solar technologies (DNICast)


Direct Normal Irradiance Nowcasting methods for optimized operation of concentrating solar technologies (DNICast)

Concentrating solar technologies (CST) have proven to be very efficient sources of clean power for the electrical grid. CST include thermodynamic machines, such as the concentrating solar power (CSP: parabolic troughs, solar towers, Fresnel collectors, parabolic dishes…), or concentrating photovoltaics (CPV).

The efficient operation of CST requires reliable forecasts of the incident irradiance for two main reasons:

–             First, to yield a better management of the thermodynamic cycle

–             Second, the electricity production can be optimally connected to the grid.

Forecasts are made by several techniques, which have their own merits and drawbacks. The uncertainty in the forecast of the Direct Normal Irradiance (DNI) is still too large and must be reduced.

The DNICast project, brings a series of innovative components which would advance current state-of-the-art in a number of ways. These innovations can be clustered in terms of methodological progress, geographical extension and a participatory approach through the involvement of stakeholders and potential end-users.


D2.1_Technical report on the functional requirements for the nowcasting method – for merge

D2.2_WMO SDSWAS review evaluation report (workshop) of SDSWAS products

D2.3_Assessment report on aerosol monitoring as nowcasting scheme

D2.4_Study report on short-term aerosol forecasting at source-dominated aerosol sites

D2.5_Report on aerosol monitoring methodologies with sky imagers

D2.6_Uncertainty assessment in state-of-the-art aerosol forecasts based on high resolution modeling

D2.8_Report on requirements for nowcasted parameters and levels of uncertainty in terms of circumsolar radiation_V2

D3.1_Report on algorithms for nowcasting methods based on sky imgagers

D3.4_Report on the operation of sky imagers and preliminary validation of results including method uncertainties

D3.6_Report on satellite-based nowcasting methods

D3.8_Report on comparison of satellite-based nowcasting methods

D3.11_Report_on_NWP_Var particle_filter_and_machine_learning_approaches_for_short-term_DNI_nowcasting


D4.1_Validation of nowcasted spatial DNI maps

D4.2_Guidelines for DNI measurements


D5.1_Workshop report for the 1st workshop

D5.2_Workshop report for the 2nd workshop

D5.3_Workshop report for the 3rd workshop

D5.4_Report of Bilateral Consultations with Key Stakeholders_V2


D5.6_Demonstrator for DNI nowcasting tools available online

D6 1_Communication and dissemination strategy_20140415

D6.2_Report on the results of the scientific dissemination, including submitted and accepted articles, presentations and posters

D6.3 Report on the results of the broader dissemination

D6.4_Final Workshop Report


More information about the DNICast could be found through: