ETA Energy Solutions Inc.’s proprietary Model Predictive Control (MPC) algorithm yields substantial savings in cooling plant energy:
- optimal plant configuration for every load scenario tracked in real-time
- recalibration using live measured data to account for performance drift over time
- energy savings of up to 35% as shown on a Canadian university district cooling network
- predictive and proactive maintenance identifies malperformance before it becomes a failure
Every operating condition has a global optimum configuration that consumes the least electricity while fully meeting the cooling load.
ETA-Cool solves for this optimal configuration and controls the plant to achieve it.