Advanced Control and Level-crossing Prediction Techniques to Increase Efficiencies in Ames’ Sustainability Base with Robin Franz on Decebmer 9th

Robin Franz, visiting graduate student at UC Berkeley by arrangement through his professor Manfred Morari in the Automatic Control Laboratory at ETH Zurich, and Dr. Francesco Borrelli in the Model Predictive Control Laboratory at UC Berkeley, will present a seminar, “A Comparison of Model Predictive Control (MPC) to the Existing Traditional PID Control Algorithm for Building-side Hot Water Pumps in Sustainability Base”, hosted by the ASL on Tuesday, December 9th.  Please note that this event will be held in Building N233 (“Sustainability Base”), Room #103 from 12:00-1:00pm.

Robin’s brief bio and an abstract of his talk follow below. Questions about this event can be directed to the POC, Peter Minogue.

Abstract:

The Sustainability Base at NASA Ames Research Center is high-performance, LEED Platinum building that has an ongoing mission to incorporate NASA innovations and technologies for continuous improvement of energy efficiency, reducing the carbon footprint and lowering operating and maintenance expenses compared to traditional buildings. Building systems in smart buildings such as this are increasingly capable of distributed sensing and automatic building control down to individual actuators, however overall objectives such as system efficiency and energy usage are not controlled directly. This project hypothesized that integration of a control and an alarm system through advanced control and level-crossing prediction techniques can achieve significant improvements in building control efficiency and performance. We have investigated the use of Model Predictive Control (MPC) for a hot water pump system within Sustainability Base. We have produced a proof-of-concept simulation to demonstrate how MPC can improve automated control of the pump by the means of constraint satisfaction. Constraints imposed included equipment and environmental limits, as well as thermal comfort limits.

About the Speaker:

Robin Franz is a visiting graduate student at UC Berkeley by arrangement through his professor Manfred Morari in the Automatic Control Laboratory at ETH Zurich, and Dr. Francesco Borrelli in the Model Predictive Control Laboratory at UC Berkeley. For the Fall 2014 semester, he has been sponsored through the Advanced Studies Laboratory at NASA Ames to apply his expertise in automated control systems to the water pump system in Ames’ Sustainability Base, with mentorship from Rodney Martin, the Sustainability Base Project Scientist. Robin began working toward his Masters of Science with Professor Morari in 2012, in the Information Technology and Electrical Engineering Department of the Swiss Federal Institute of Technology (ETH Zürich). He received his BS in electrical engineering and information technology from the Technical University Munich (TUM) in 2011. His research interest focuses on smart building automation, applying Model Predictive Building Control to sustainable buildings.

Leave a Reply

Your email address will not be published. Required fields are marked *

Scroll to top