Principal Scientific Engineering Associate
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).
Resilient buildings for fire-adapted landscapes: EE and flexible loads integrated with solar and storage microgrids
Solar+ Optimizer: A Model Predictive Control Optimization Platform for Grid Responsive Building Microgrids
Practical factors of envelope model setup and their effects on the performance of model predictive control for building heating, ventilating, and air conditioning systems
Prototyping the BOPTEST Framework for Simulation-Based Testing of Advanced Control Strategies in Buildings