Cost-responsive Supply Air Temp Optimization

• Collect, and analyze HVAC operational states.
• Predict the near-future comfort / environmental states.
• Determine the most optimal set of changes to minimize the energy cost.
• Continuous / iterative operations.

Input(s):

Sensory data from HVAC equipment, temperature readings and cost predictions.

Main feature(s):

Use combination of algorithms to determine the optimal set of instructions to alter operations of the HVAC Air intake/outtake modules based on predicted energy costs.

Output(s):

Set of specific instructions for the HVAC / BAS system.

N/A

Organizations running datacenters or other commercial facilities.

N/A