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.

 

Model-predictive control (MPC) based optimization approaches present a promising solution for increasing the operational efficiency of HVAC systems. This seminar discusses MPC optimization technologies, including a novel MPC approach, a field evaluation study, and a framework for performance benchmarking. Using a dynamic data-driven model or physical-based model and disturbance forecast to predict HVAC system performance, this provides a given objective and taking into consideration future events. It combines the models with the real-time data from the building automation system (BAS) to determine the optimal control setpoints and feedback to the BAS to minimize energy consumption or costs.