Seminar 75 -- What Are Effects of Building Models on the Performance of Model Predictive Controls

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.

The use of Model Predictive Control (MPC) in buildings has gained significant attention over the years to address challenges related to intelligent building operation, energy management and resilience, including reduction and shifting in response to electric grid signals for grid-interactive efficient buildings. One of the primary obstacles to implement the MPC at a large scale is to produce building and HVAC models that are accurate enough for control optimization with the least implementation cost. This seminar will present three case studies that help address this challenge for MPC applications in commercial and residential buildings.

1. Impact of RC Model Accuracy on Model Predictive Control Performance
   Andreas Athienitis, Ph.D., P.E., Fellow ASHRAE, Concordia University, Montreal, QC, Canada
2. The Effects of Envelope Model Accuracy on the Performance of MPC for Building HVAC
   David Blum, Ph.D., Member, Lawrence Berkeley National Laboratory, Berkeley, CA
3. Effects of Resistance-Capacitance Model Accuracy on the Performance of Model Predictive Control in Residential Buildings
   Xin Jin, Ph.D., Member, National Renewable Energy Laboratory, United States of America, Golden, CO