CALIBSUN Markets Solar energy producers: Utilities and Independent Power Producers

Solar energy producers: Utilities and Independent Power Producers

Image Image

 

Optimize the management of your photovoltaic power plants with intraday and day-ahead  forecasts


 

REDUCE FORECAST DEVIATION AND IMBALANCE PENALTIES

 

Photographie-centrale-photovoltaique-au-sol

Solar forecasting to reduce financial penalties for solar power plants

To limit the financial penalties associated with the discrepancy between forecasted and real power production, photovoltaic power plants need reliable D+1 and intra-day forecasts. By combining meteorological models, high spatial resolution satellite images and existing on-site  data, it is possible to obtain a more accurate view of future production.

Integration of real-time irradiance and on-site power production data enables forecasts to be refined. Using this approach the accuracy of NEXT gets improved by up to +46% compared to the use of meteorological models alone.

Nowcasting to reduce penalties in complex climates

Diminution of forecast deviation penalties

In complex climatic contexts - island, tropical, high-altitude or affected by the monsoon - conventional forecasts are not enough. Weather conditions are localized and changeable, requiring real-time observation of the sky.

Calibsun offers a nowcasting solution based on a network of hemispherical cameras and sensors installed directly on site. Unlike a single camera, this network provides a three-dimensional view of the clouds, offering a highly accurate, minute-by-minute estimate of expected solar power production.

This industry-first technological solution  enables anticipation of drops in production due to cloud cover, which is essential for operators faced with high climate variability.

 

 

IMPROVE OPERATIONAL MANAGEMENT

Photovoltaic power generation scenarios for tailored strategies

NEXT offers probabilistic scenarios, from P90 to P05, complemented by a deterministic P50 forecast. This combination offers a complete reading of meteorological uncertainties, and enables better planning of decisions linked to energy trading or storage, by adapting to market conditions.