With our AI-powered energy optimization algorithm, we deliver strong energy savings while maintaining optimal service level for all tenants, aiming to help clients striving for the energy saving or net zero carbon targets of their premises by real-time optimizing the performance of the centralized heating, ventilation and air-conditioning (HVAC) dynamically without violating the satisfaction of the building occupants.
With an extensive dataset of building performance, we have helped over 35 buildings save 4.1 million kWh of energy consumption and reduced their carbon emission by 3,200,000 kg.
Building Cooling Load Prediction
Before optimizing the performance of the HVAC system, enabling to forecast the building cooling load based on historical data with machine learning is one of the major tasks in our energy optimization service.
Chiller Plant Efficiency Improvement
Adopting JEDI with digital twin approach for characterizing the performance of the HVAC system as well as fine-tuning the system dynamically, the energy performance of the system can then be enhanced. At least 8% annual energy saving depending on the size, type and current operation of the system can be achieved.
Chiller Plant Energy Consumption
As the chiller plant is the major energy consumer of the typical commercial buildings, optimizing chillers plant contributes a major reduction of the entire building energy consumption.