Seminar 33 -- The Future of Controls: Transition from Algorithmic to Predictive Control

This product is a zip file that contains files that consist of PowerPoint slides synchronized with the audio-recording of the speaker, PDF files of the slides, and audio only (mp3 format) as noted.

Grid interactive energy efficient buildings will require control systems that are able to balance out the needs to provide for a safe, comfortable and efficient building environment while at the same time coordinating the operation of the building with the needs of the grid. The use of new technology including model predictive control can provide solutions that are able to both control and estimate future needs using data and simplified building models. This session looks at the pros and cons of these new approaches and discuss potential research needs and direction for industry.

1. Why and How You Should Make Model-Based Predictive Control Work for You?
   Draguna Vrabie, Ph.D., Member, Pacific Northwest National Laboratory, Richland, WA
2. Digital-Twin Based Control Technology Enables Fully Autonomous Building Systems: Meeting and Exceeding Level 5 Autonomy
   Troy Harvey, Member, PassiveLogic, Salt Lake City, UT
3. In-Situ Field Testing of Model-Based Predictive Control (MPC) and Simplified MPC in an Institutional Building
   Jayson Bursill, Ph.D., Member, Delta Controls Inc., Surrey, BC, Canada