Schneider Electric Predictive Optimisation software
Schneider Electric’s new Predictive Optimisation software continuously monitors real-time weather forecasts, energy prices, tariffs and demand response (DR) signals, then makes small automatic changes in HVAC operations to reduce HVAC energy use up to 25 per cent, which it says typically equates to 6 to 10 percent of total building energy use.
The company says the software works by learning and collecting building data, then using the information to automatically create a thermal model. Proprietary algorithms calculate and respond to the best set points to optimise comfort and energy utilisation.
Once the initial model is set, Predictive Optimisation continues to adapt to changes to uncover new opportunities for energy savings. The system also diagnoses and prioritises the most critical building management issues to help facility managers identify and address those problems generating the largest amount of energy waste.
The software remotely leverages data from an existing building management system (BMS) or power monitoring system to self-optimise 24 hours a day across the building enterprise.
Schneider Electric says the solution “enhances the value of an existing BMS, improves asset value, enhances efficiency, occupant comfort and achieves positive return on investment for customers across industries – including healthcare, education, commercial offices, hotels, retail and life science. The solution is smart grid-ready and provides performance measurement and verification (M&V) efficiency results for green building certification, including National Australian Build Environment Rating System (NABERS).”