Case Studies

Air Quality Adaptive Control

Technologies

Advanced Controls
MPC
Modelway DVS®

Client’s Need

HVAC system controls and parameters were manually set by experienced operators but could be suboptimal when used across the whole working range and were not adjusted depending on the perceived comfort of the final users.

Approach

We developed an AI algorithm that uses both sensor inputs as well as user feedback that aims for a target humidity and temperature while optimising for user comfort perception and energy consumption.

Main Outcomes

  • Modelway developed a data driven model, allowing predictive control performing real-time HVAC optimization based on the actual working conditions.
  • Modelway’s solution achieved energy savings of more than 20% while maintaining the same perceived comfort in the climate-controlled spaces.