ITEA is the Eureka Cluster on software innovation
ITEA is the Eureka Cluster on software innovation
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Predictive Supply Air Temp Optimization

Project
17002 AutoDC
Type
New standard
Description
  • 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 and maintain the ideal environmental conditions.
  • Continuous / iterative operations.
Contact
Alex Petrovic
Email
alex@marinerpartners.com
Technical features

Input(s):

  • Sensory data from HVAC equipment, temperature and/or cost predictions.

Main feature(s):

  • Use ML prediction models to determine the optimal set instructions of to alter operations of the HVAC Air intake/outtake modules based on predicted system states.

Output(s):

  • Set of specific instructions for the HVAC / BAS system.
Integration constraints

N/A

Targeted customer(s)

Organizations running datacenters or other commercial facilities.

Conditions for reuse

N/A

Confidentiality
Public
Publication date
30-09-2021
Involved partners
Mariner Partners Inc (CAN)