Schneider Electric Predictive Optimisation software

Schneider Electric has launched Predictive Optimisation, a system that helps building owners and facility managers reduce HVAC energy use up to 25%, which typically equates to 6 to 10% of total building energy use. The software continuously monitors real-time weather forecasts, energy prices, tariffs and demand response (DR) signals, then makes small automatic changes in HVAC operations to provide tangible energy savings without impacting occupant comfort. It works by learning and collecting building data, then using the information to automatically create a thermal model.

Algorithms calculate and respond to the best set points to optimise comfort and energy utilisation. Once the initial model is set, the software continues to adapt to changes to uncover opportunities for energy savings. The system also diagnoses and prioritises critical building management issues to help facility managers identify and remediates problems that are generating the largest amount of energy waste. The solution 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.

The product enhances the value of an existing BMS, improves asset value, enhances efficiency, provides occupant comfort and achieves positive return on investment for users across industries, including healthcare, education, commercial offices, hotels, retail and life science. The system is smart grid-ready and provides performance measurement and verification efficiency results for green building certification, including National Australian Build Environment Rating System (NABERS).