Renewable energy; managing gusty weather
Highly variable renewable energy sources such as solar power and wind power demand improved flexibility of the smart grid. This flexibility requires forecasts. To generate accurate and timely forecasts, for the electricity output of PV and wind, immense amounts of historical data for extrapolation is needed. This requires massive amounts of data to be collected, stored and analyzed.
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The traditional network infrastructure is not built to allow for many distributed feed-in points
Some feed-in is allowed at the local (distribution) level, however at transmission-level this is not accommodated
Rapid fluctuations in distributed generation, for example due to cloudy or gusty weather
Need to ensure stable power levels through varying output of the more controllable generators (gas turbines, hydroelectric generators, etc)
collect & store: Collect data from all individual elements of your renewable energy source (no scaling limit) in one place, structure units and monitor independent from location or time
crunch: See the total delivery of the renewable source instantly and compare generation with forecasts, to balance the delivery to the grid
combine: Measure multiple renewable sources, forecast total generation, combine with forecasted weather to calibrate forecasts, etc.
compare: Historical data is saved and enable you to create ever more accurate forecasts of the output of the r.e.s.
Increase your ability to ensure stable power levels
Scale up or down your data input and pay-per-used data delivery point
Real-time insights; trace imbalances at an early stage or even prevent them from escalating
Benefit from upgrades of our SaaS without increasing your fixed crunching price
Social networking meets energy efficiency in this adaptive Social Energy App.