Dr. Donghun Kim received his Ph.D. degree from Purdue University with focus on thermal energy systems. He has been worked as a research assistant professor at the School of Mechanical Engineering at Purdue University and is currently a research scientist at Lawrence Berkeley National Lab. His academic background includes system identification, control (model predictive control in particular) and optimization to develop, evaluate and deploy advanced building HVAC control algorithms. He developed an identification algorithm and model predictive controller to coordinate multiple Rooftop units, and algorithms for generating reduced order models for building envelope systems and dynamic vapor compression systems. He is a technical committee member of the American Society of Heating, Refrigerating, and Air-conditioning Engineers (ASHRAE), and of the American Society of Mechanical Engineers (ASME) Energy Systems, and a member of the Institute of Electrical and Electronics Engineers (IEEE).
Researchers in the Building Technology & Urban Systems Division (BTUS) at Lawrence Berkeley National Laboratory develop data and technologies that increase energy efficiency and improve the health, safety and comfort of building occupants, in the United States and worldwide.
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