Mary Ann Piette is a Senior Scientist, Director of the Building Technology and Urban Systems Division and Senior Science Advisor to the Associate Lab Director of Energy Technologies Area at Lawrence Berkeley National Laboratory. She oversees LBNL's building energy research activities with the US Department of Energy and over 25 other R&D sponsors. She is also the Director of the Demand Response Research Center. Mary Ann's work involves developing and evaluating new technology and building components, controls, operations, simulation, whole building and electric load shape analysis and behavior. She is also lead researcher at LBNL on the automated demand response technology. Mary Ann has authored over 90 peer reviewed publications related to energy efficiency and demand response and has worked at LBNL since 1983. She has a MS in Mechanical Engineering from UC Berkeley and a Licentiate in Building Services Engineering from the Chalmers University of Technology in Sweden.
Mary Ann Piette
Scientific Division Director
"Field Experience with and Potential for Multi-time Scale Grid Transactions from Responsive Commercial Buildings." ACEEE Summer Study on Energy Efficiency in Buildings. Asilomar Convention Center, Pacific Grove, CA, 2014. LBNL-185827. .
Automated Measurement and Signaling Systems for the Transactional Network. Berkeley: Lawrence Berkeley National Laboratory, 2013. LBNL-6611E. .
"Field Demonstration of Automated Demand Response for Both Winter and Summer Events in Large Buildings in the Pacific Northwest." Energy Efficiency Special Issue on Smart G (2012). LBNL-6216E. .
"LEED Demand Response Credit: A Plan for Research towards Implementation." 2012 Greenbuild Conference & Expo. San Francisco, CA, 2012. LBNL-6014E. .
"Responsive and Intelligent Building Information and Control for Low-Energy and Optimized Grid Integration." ACEEE 2012 Summer Study on Energy Efficiency in Buildings, August 12-17, 2012. Pacific Grove, CA, 2012. LBNL-5662E. .
"Intelligent Building Energy Information and Control Systems for Low-Energy Operations and Optimal Demand Response." IEEE Design and Test of Computers 29.4 (2012) 8-16. LBNL-5894E. .
Demand Response Opportunities and Enabling Technologies for Data Centers: Findings From Field Studies. PG&E/SDG&E/CEC/LBNL, 2012. LBNL-5763E. .
Fast Automated Demand Response to Enable the Integration of Renewable Resources. CEC/LBNL, 2012. LBNL-5555E. .