Overview

In this session, MathWorks engineers will demonstrate how to leverage a digital twin of an HVAC system to design and test HVAC control systems. Tuning of single and multi-zone control systems using optimization will be demonstrated for traditional control design. Additionally, AI-based reinforcement learning approaches will be demonstrated to design a smart thermostat algorithm to minimize energy while satisfying specified comfort boundaries.

Highlights

• Leveraging digital twin of HVAC systems for control design
• Optimizing HVAC control gains for performance
• Using AI-based approaches for smart thermostat training