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Prodrisk helps you plan reservoir management and production for watercourses with multiple reservoirs and plants. Our tool solves the multi-year hydropower scheduling problem with SDDP, optimizing water use under a range of constraints while accounting for uncertain inflows and market prices. It solves the same scheduling problem as the EOPS model, with a similar level of detail in the hydro module description. Prodrisk is particularly strong on complex cascaded watercourses and produces policy cuts for seamless linkage to short-term tools. Prodrisk is used on a daily basis by many Nordic hydropower producers.
Main applications
- Water value calculation – compute coupled water values (cuts) consistent with long-term strategy and export to short-term tools like SHOP
- Production forecasting – Forecast generation, storage trajectories, and revenue distribution under stochastic inflow and price scenarios.
- Investment analysis – Evaluate upgrades and expansion options by simulating performance and value over multi-year horizons
- Constraint analysis – Assess system-wide and plant-level constraints and their impact on value
Key features
- Stochastic approach – Model a range of possible inflows and prices, accounting for uncertainty
- Flexible time resolution – weekly planning with user-defined subperiods per week, hourly resolution available
- Universal strategy – get water values that ensure optimal scheduling within a range of possible scenarios
- Reserve markets – model energy and reserve allocation in an integrated framework, co-optimising both for best value
- Pumped storage – model both plants and pumps with detailed time-dependent results
- Parallel processing – designed for efficient multi-scenario computation at scale, ensuring timely results
- Modern python API – connect with your existing systems through our API for automation, scripting, and analytics
An open documentation with a more detailed description is available HERE.
Research and development
The Prodrisk algorithm is the result of many years of research at SINTEF. It combines stochastic dynamic programming (SDP) and stochastic dual dynamic programming (SDDP) for best efficiency. Through a range of research and development projects, we continuously improve the methodology, add new features, and adapt the model to changes in the markets and regulations. Prodrisk is also frequently applied as a scientific analysis tool in our research.
Ongoing projects:
- IPN Robust and efficient reservoir management (2025-2028) – risk management in the optimization
- KSP Water values for versatile markets (2027-2030) – algorithms solving the stochastic scheduling problem accounting for uncertainty in multiple markets and higher flexibility needs
- FME RenewHydro project 2.3 (2025-2032) – Energy security and adequacy analysis