Optimization is the module of the BRAINWATT® platform that maximises the energy efficiency of systems while ensuring comfort and operational continuity.
BRAINWATT® Optimization
Real-time optimisation of energy systems
Forecasting of energy demand through AI models
Management of setpoints and energy costs
Advanced modelling of generation units and energy systems
Continuous optimisation
BRAINWATT® Optimization leverages artificial intelligence to maximise self-generation and energy savings without requiring changes to existing systems.
- Cogeneration units
- Energy absorbers and trigenerators
- Standard and dual-fuel boilers
- Boilers
- Chillers and refrigeration units
- Heat pumps
- Photovoltaic systems
- Inverters
- Fan coil units
- Electrical storage systems
Predictive modelling
BRAINWATT® Optimization uses a machine-learning AI engine to forecast the behaviour of key time-series variables and identify the most efficient operating patterns.
- Forecasting of electricity and thermal demand
- Forecasting of photovoltaic production
- Estimation of real energy costs (electricity and gas prices, white certificates, incentives and contracts)
System modelling and setpoint optimisation
BRAINWATT® Optimization provides detailed modelling of energy systems and identifies in real time the optimal setpoints required to meet energy demand at the lowest possible cost while respecting operational constraints.
- Technical parameters of systems
- Actual equipment efficiency
- Building thermal inertia
Technical parameters of systems
BRAINWATT® Optimization enables real-time remote control of systems through optimisation algorithms based on predictive models, energy system modelling and real energy costs.
- Multi-energy vector (electrical and thermal)
- Multi-objective optimisation for different operating scenarios
- High-performance
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