comparison between Reactive and Active HVAC control
Reactive HVAC Control
Traditionally heating and cooling systems are instructed to operate when the upper (Tu) or lower (TL) temperatures are sensed. The system shuts off operation at points Ir - but the temperature change continues due to system lag.
This creates wasted energy and failure of climate control.
Active HVAC Control
Utilising machine learning, ML, the program will, within 2-months, learn the extent of the lag affect and operate HVAC control at an earlier point, Iai.
The lag varies across the building based on a variety of factors including system design, insulation properties and the zone’s exposure to external conditions.
Regardless, Active HVAC Control eradicates wasted energy, > 30%, and maintains climate control within target temperature, Tt.
Proactive HVAC Control
A further step beyond active HVAC control is predictive changes based on input from external temperature sensors.
Due to historical patterns during the 2-month learning process the ML will know to what extent each zones are affected by the external conditions and how long it takes for the internal climate to be affected.
Consequently, Perpetual’s AI proactively instructs the HVAC to operate with micro-adjustments providing a stable target temperature across the building.
Thermal ANOMALIES
With an increased HVAC control in the building's climate any thermal anomalies or unexpected temperatures, can be identified and if necessary corrected whenever appropriate.
Low-level thermal anomalies are disregarded until frequency suggests a closer inspection of the system zone at the next scheduled maintenance.
Significant thermal anomalies with Perpetual’s 24/7 remote monitoring service would be investigated by on-site and remote personnel. Here a fire would be detected much earlier causing minimal water and fire damage with occupant and service disruption also reduced.
Possibly human behaviour would be noted as the cause of a significant thermal anomaly and if necessary, appropriate action taken by the building operator.
However, if system fault was deemed the cause, then a reactive maintenance visit could be required and organised.
Waking Watch Support
During the 2-month learning period of the program a 24/7 on-site security personnel is required to ensure no drop off in fire protection.
Data Driven Property Management
Analysis of HVAC operation and consequential energy consumption data will flag areas of the building that are particularly affected by external environmental factors.
Consequently, more informed decisions on property improvements can be made. These could include insulation upgrade or the installation of sun shielding systems or green walls.
Post-upgrade data analysis will demonstrate cost benefits to the client for a wider uptake across additional properties.
Data Driven Property Management
Analysis of HVAC operation and consequential energy consumption data will flag areas of the building that are particularly affected by external environmental factors.
Consequently, more informed decisions for improvements can be made - this is data driven property management. These could include insulation upgrade or the installation of sun shielding or green wall systems.
Post-upgrade data analysis will demonstrate cost benefits to the client for a wider uptake across additional properties.
