SCHNEIDER ELECTRIC’ S ECOSTRUXURE PLATFORM data centre itself to consider weather forecasts, building occupancy patterns and academic calendars to optimise operations days in advance.
If a cold snap is coming and students will need more heating, the system can schedule intensive computing tasks to coincide with peak heating demand.
This level of coordination between computing infrastructure and building systems is new in data centre design, introducing a new category of computing infrastructure – facilities designed from the ground up to integrate with their surrounding environment rather than simply minimising their impact on it.
The AI-powered EcoStruxure system monitors server heat and synchronises workloads with campus heating demand in real time
Waste heat recovery captures thermal energy from servers and distributes it as sustainable district heating across campus buildings
ML algorithms predict peak server workloads and align them with campus heating needs for optimal efficiency
Integrated infrastructure design unifies data centre power, cooling and building heating systems for seamless communication and control
Predictive maintenance and optimisation uses AI to anticipate server failures and adjust cooling and heating dynamically based on workload types.