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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
- 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)