David Blum is a Postdoctoral Fellow 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).