The-rapid-expansion-of-renewable-energy-production-in-Germany-has-increased-grid-bottlenecks

Monitoring and forecasting feed-in management

The rapid expansion of renewable energy production in Germany has increased grid bottlenecks and, in accordance with feed-in management requirements, the frequency of renewable energy production shutdowns. UBIMET has developed a unique patented tool* for both monitoring current feed-in management (EinsMan Monitor) as well as to forecast expected deactivations of production from renewables (EinsMan Forecast).

EinsMan Monitor

The EinsMan Monitor* captures the current situation of feed-in management measures in Germany. This overwiew is available either for distribution grids or all of Germany. UBIMET combines company specific readings in real time via EinsMan measures of distribution grid operators with plant specific analyses of renewable energy production (wind, solar and bio-mass) and updates this information every 15 minutes in the Weather Cockpit®.

EinsMan Forecast

UBIMET takes EinsMan to the next level with the EinsMan Forecast*. By providing forecasts of expected feed-in management requirements for the next hours/days, renewable energy bottlenecks can be identified and eliminated. Company-specific renewable energy forecasts, municipality load forecasts as well as grid topology form the basis of the EinsMan Forecast. Models assist in anticipating which measures the grid operator will take to reduce grid load in intraday or day-ahead. This detailed information is also provided via the Weather Cockpit®.

(*) The invention that forms the basis of our solutions is protected as a utility model (DE 20 2017 100 343.4) and has also been filed for patent (DE 10 2017 101 265.6).

Want to integrate hyperlocal weather insights into your own systems?

With the UBIMET API “UBI:Connect” it’s easy to create a connection between your systems and UBIMET’s high-quality hyper-local weather database. Find out more on our dedicated weather API page or ask for more information below.

UBIMET Connect Weather Data API

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