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Artificial IntelligencePilotEnergy optimisation

Energy optimisation — Mall

Reinforcement-learning control of chillers, compressors and furnaces. Delivered for a mall client in Mehsana.

Location
Mehsana
Year
2021
Duration
17 weeks
Team
8 engineers
Interactive 3D · drag to rotate
25%
energy saved
17.2 mo
payback
1,054
t CO₂/yr avoided

The challenge

Existing vendors had delivered pieces of a energy optimisation system, but nobody owned the integration and the pilot had stalled.

What we built

Built in our Motera lab, validated on a replica rig, then commissioned on site in days using Ray RLlib and BACnet.

Delivery timeline

  1. Phase 1

    Discovery sprint and site survey

  2. Phase 2

    Prototype built and tested in the Motera lab

  3. Phase 3

    Pilot on site with before/after measurement

  4. Phase 4

    Scale-out, training and handover

Highlights

  • Designed, built and supported from Motera, Ahmedabad
  • Operator training delivered in Gujarati, Hindi and English
  • Remote monitoring and over-the-air updates included
  • Documentation, drawings and source handed over at close

Have a problem that needs a machine built for it?

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