National First prize winner

ExoLabs

We make hydropower more cost-effective

Pitch

Hydropower operators need accurate water inflow predictions to generate energy most profitably. In snowmelt dominated catchments (1/4 of the world’s hydropower), uncertain snowmelt quantities deteriorate inflow predictions resulting in overall losses of 7-10%, annually.
Our solution to this problem includes data from multiple satellite constellations, ground station networks and numerical weather forecasts to derive real-time snow quantities as well as forecasts in a 20 m spatial resolution for entire mountain ranges. Using scalable cloud processing and innovative machine learning algorithms, we are capable to serve hydropower stations globally.

Quick facts

  • 2020 Participant
    Year of participation
  • Sustainable Land Use
    Theme
  • Switzerland
    Country
  • € 300k
    Investment
  • 4
    Teamsize
  • 2
    Customers

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Team

  • Reik Leiterer (CEO), Gillian Milani (CTO), Bernhard Sassik (software Developer), Hendrik Wulf (CPO)
  • www.exolabs.ch/

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