Our Models are being used to analyze stream flow regimes, reservoir system operations, water distribution systems and a host of water resources management activities.
With more powerful computing systems, a greater number of economical remote sensing tools, and radar and satellite imaging, distributed hydrological models enable hydropower system managers to move beyond the spreadsheet, to embrace sophisticated analyses grounded on years of scientific research.
Our goal is to improve short term inflow forecasting knowledge through collaborative information sharing (radar nowcasting, weather reports, statistical data archive, weather models) combined with our very precise forecast output ( hourly or 15 min rain rate, evapotranspiration, melted snow fraction, soil humidity, model runoff etc..)
Accurate operational inflow forecasting in combination with optimization tools can significantly improve the economics of your hydropower production. Among its benefits, reliable short term stream flow forecasts from one day to 12 months ahead, combined with optimization can be used to increase the flood capacity of reservoirs, minimize spill, and maximize energy generation. Increasingly, hydropower system operators must balance high pools for recreation and drought protection, high releases for stream maintenance, and high availability for dependable capacity.
Fully utilizing optimization models can also reallocate water for power production during periods with higher prices or demand, thereby improving the economic value of the water in the reservoir.