SEMINAR: Next-Generation Building Control with Model Predictive Control

SEMINAR: Next-Generation Building Control with Model Predictive Control

Seminar Abstract 

Building control systems are facing new requirements to reduce energy consumption and carbon emissions, control distributed energy resources, shift loads in coordination with the electric grid, and provide greater connectivity to occupants.  These objectives require new methods of control that are able to consider large amounts of dynamic information when formulating a control solution.  One promising method is Model Predictive Control (MPC), which utilizes a building performance model, weather and internal load forecasts, pricing or other incentive signals, constraints on system operation, and defined objectives to optimize control in real-time. 

This presentation will discuss the benefits, challenges, and work ongoing at LBNL's Building Technologies and Urban Systems Division related to MPC development and application.  In addition, the presentation will relate the MPC development to other ongoing projects related to building energy modeling and simulation.

Seminar Speaker(s) 

David Blum
Principal Scientific Engineering Associate, Simulation Research Group, Building Technology Department, Building Technology & Urban Systems Division

David Blum is a Principal Scientific Engineering Associate in the Building Technology and Urban Systems Division.  His research focuses on the development and implementation of next-generation computational tools for buildings operating in isolation or within broader energy networks.  The majority of this work is applied to model predictive control (MPC), where a model of building performance can be used to optimize its energy consumption, occupant service, and energy network interactions.

 
David received his B.A.E degree from the Department of Architectural Engineering at The Pennsylvania State University in 2011 and his M.S. and PhD degrees in Building Technology from the Massachusetts Institute of Technology in 2013 and 2016 respectively.  At MIT, his research focused on improving the use of commercial building HVAC systems to provide ancillary services to electric grids through dynamic modeling and MPC.  He is a member of the American Society of Heating, Refrigerating, and Air-conditioning Engineers (ASHRAE) and the Institute for Electrical and Electronics Engineers (IEEE), as well as the International Building Performance Simulation Association (IBPSA). 

Michael Wetter
Computational Staff Scientist/Engineer, Building Façade Solutions, Simulation Research Group, Building Technology Department, Building Technology & Urban Systems Division

Michael Wetter is a Staff Scientist at the Simulation Research Group at Lawrence Berkeley National Laboratory (LBNL). His research includes integrating building performance simulation tools into the research process, as well as their use for design and operation. He is leading the development of Spawn of EnergyPlus, a next-generation simulation engine for building and district energy and control systems, OpenBuildingControl, a project that digitizes the control delivery process, and the Modelica Buildings Library, the largest Modelica library for building energy and control systems. He has also been developing the Building Controls Virtual Test Bed software for co-simulation and model-based operation, co-simulation tools based on the Functional Mockup Interface standard and the GenOpt optimization program. He is the co-operating agent of IBPSA Project 1 and was co-operating agent of IEA EBC Annex 60, two multinational collaborations that develop new generation computational tools for buildings and community energy systems between 2013 and 2022. Prior to joining LBNL, he led the development of building system models at the United Technologies Research Center (UTRC). He did his dissertation at the University of California at Berkeley and at LBNL, where he created the GenOpt optimization program and the BuildOpt building simulation program and where he developed the first building energy optimization technique that provably converges to the optimal building design. He is a recipient of the bi-annual Outstanding Young Contributor Award of IBPSA and of the bi-annual Distinguished Achievements in Building Simulation Award of IBPSA-USA. He is the Chair of the College of Fellows of IBPSA, an IBPSA Fellow, and a member of the Boards of IBPSA and the Modelica North America Users’ Group. He was Treasurer of IBPSA and President of IBPSA-USA.

Date 

Oct 25, 2018 -
12:00pm to 1:00pm

Location 

90-3122

Host