Optimizing Solar Energy at Scale
Solar plants face a web of competing objectives: maximizing energy harvest, extending panel lifespan, managing inverter loads, and minimizing maintenance costs. Traditional control systems optimize one variable at a time, leaving significant value on the table. globalMOO solves all of these simultaneously.
Real-World Impact
Input Variables
Panel tilt angles, inverter setpoints, cleaning schedules, curtailment thresholds, battery charge/discharge rates, and tracker positioning parameters.
Objectives
Maximize energy yield, minimize panel degradation rate, optimize inverter efficiency, reduce operational costs, and balance grid compliance requirements.
How globalMOO Optimizes Solar Operations
globalMOO learns the complex relationships between operational parameters and plant performance. By solving the inverse problem, it determines the exact control settings needed to achieve multiple targets simultaneously — without the trade-offs inherent in traditional single-objective approaches.
- Dynamic re-optimization — adapts to changing weather, grid demand, and equipment status in real time
- Multi-plant coordination — balances objectives across an entire solar portfolio
- Predictive maintenance — factors panel degradation curves into optimization decisions
Interactive Solar Plant Explorer
Explore the solar plant optimization demo below — see multi-objective energy optimization in action.