New model to predict cloud movements, improve grid integration for renewables – Commercial

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From pv magazine Spain

Spain’s Meteo for Vitality affords climate forecasts and power manufacturing fashions for photovoltaic, photo voltaic thermal, and wind energy technology. It makes use of cloud cameras and satellite tv for pc picture predictions based mostly on Meteosat photos, in addition to predictive synthetic intelligence fashions.

The corporate used cloud cameras for the nowcasting of cloud transients and makes use of Meteosat satellite tv for pc picture predictions to make short-term predictions about photo voltaic radiation, with a view to combine photo voltaic manufacturing into the continual market. Precipitation will be displayed in actual time, together with the forecasting of suspended mud to forestall soiling.

AI predictive fashions mix climate knowledge with different data to generate extremely correct forecasts of climate circumstances and anticipated power manufacturing below completely different circumstances, to facilitate higher integration into the grid.

A Meteo for Vitality spokesperson informed pv journal that the corporate’s predictive fashions have an accuracy of 5% to eight% normalized imply absolute error (NMAE) for 48-hour meteorological fashions. The satellite tv for pc can reportedly improve accurary by round 12% for a window of two hours.

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“Meteosat satellite tv for pc photos and Deep Studying play a key position in making certain a greater integration of photo voltaic power into {the electrical} grid, as one of these know-how permits the photovoltaic and photo voltaic thermal sector to foretell the motion of the clouds to enhance their operation and cut back their diversion prices,” the spokesperson stated.

Meteo for Vitality stated your entire course of affords a minute-by-minute prediction of the 2 fundamental components that have an effect on the mixing of photo voltaic power: cloud motion and the opacity index for every picture coordinate.

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