Optimize for Revenue Maximization
The path to effective financial planning and profitability in volatile power markets varies for each hydro operator. Here are examples from our clients.
Use Case
Real Solutions for Real Hydropower Challenges
Complex Cascades
Challenge
Manual water allocation leads to inefficiencies.
Solution
Automated optimization using real-time data.
Result
35% increase in revenue from optimized price driven dispatch.
- Maximise Flexibility in Bigger Reservoirs
Get Precise on Your ”Time Travel of Water”. Large reservoirs are optimized for market opportunities, while smaller units react preemptively to minimize water losses and secure valuable turbine runtime.
- Follow Above & Follow Below Protocols
Your asset is only as flexible as your most inflexible storage in the cascade. Optimize your entire topology with this constraint in mind: inflexible day ahead plan is aligned with the more flexible plan above or below.
- Gate Driven Dispatch
Optimize upstream gates in line with power prices and water value to ensure downstream turbines outperform the market, while in level regulation.
Small Storage
Challenge
24h storage operated in level-regulation.
Solution
5h of flexibility identified and used for PDD
Result
Boosted annual revenues by 11%
- Automated Limit Order Bid Calculation
Adjusting production to maximize revenue while respecting operational and environmental constraints.
- Dynamic Water Value Calculation
Ensuring every cubic meter is dispatched at the most profitable moment.
- Maintenance scheduling with opportunity cost calculation
Users minimize downtime costs and related revenue losses by up to 85%.
Large Storage
Challenge
Manual production planning with MOB strategy.
Solution
Available flexibility identified and used for PDD.
Result
Transition from MOB to flexible LOB, based on water value.
- Proactive Seasonal Inflow Management
Harness the full capacity of large reservoirs to anticipate seasonal inflows, ensuring water is dispatched at the most profitable times while safeguarding reliability and compliance.
- Integrated Short, Medium & Long-Term Planning
Balance immediate operational needs with medium-term market opportunities and long-term strategic storage, creating a resilient plan that adapts across time horizons.
- From Market Order to flexible Limit Order Bidding
Shift away from rigid, block-based generation toward price driven dispatch and bidding strategies that align production with dynamic price signals, for higher revenue potential.
Run-of-River
Challenge
Inflow forecast accuracy limited by the naïve baseline model
Solution
Proprietary inflow forecasting machine learning models
Result
Consistent out-performance of naïve model
- Inflow Forecasting
Accurate short‑term inflow predictions enabled by thorough ctchment are analysis and machine learning forecast models, allow operators to plan generation with confidence and reduce volatility.
- Operate RoR as a Flexible Asset
Treat the intake as a small storage unit, creating upside by optimizing available full load hours.
- Negative Price Prevention
Apply limit order bidding with negative price thresholds (green certificate dependent), diverting water through the gate when needed.
Pumped Storage
Challenge
Manual water allocation leads to inefficiencies.
Solution
Automated optimization using real-time data.
Result
35% increase in revenue from optimized dispatch.
HYDROGRID Insight generates predictive production plans within turbine and gate limits.
- Partners like Aventron (Boge II) and Hanneseth (Kvina) set min/max discharge limits via the dashboard.
- Flow adjusts hourly based on inflow.
- Ensures efficient, compliant operations within variation constraints.
Central Dispatch
Challenge
Manual water allocation leads to inefficiencies.
Solution
Automated optimization using real-time data.
Result
35% increase in revenue from optimized dispatch.
- water value for production planning
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