A building can be an agile, sentient, complex dynamic system that delivers customized sequences of micro-environments to optimize comfort and productivity while minimizing carbon footprint. Such a building leverages pervasive sensing and information technology to realize and maintain tunable physical models, and to synthesize state-of-the-art knowledge about occupant needs and patterns, allowing optimal integration and management. This view introduces modern agile manufacturing principles in building operations, with activities such as process control, fault detection and classification, planning, forecasting and supply chain management when interacting with the grid, the utilities, and the environment. We will address this concept in the context of a newly established research program between UC Berkeley, Nanyang Technological University, National University of Singapore and Singapore’s National Research Foundation.
COSTAS J. SPANOS received the EE Diploma from the National Technical University of Athens, Greece and the M.S. and Ph.D. degrees in ECE from Carnegie Mellon University. In 1988 he joined the Faculty at the Department of Electrical Engineering and Computer Sciences of the University of California at Berkeley. He has served as the Director of the Berkeley Microlab, the Associate Dean for Research and as Department Chair. He works in statistical analysis in the design and fabrication of integrated circuits, and on novel sensors and computer-aided techniques in semiconductor manufacturing. He also works on statistical data mining techniques for energy efficiency applications. He has contributed to two successful startup companies, Timbre Tech, (acquired by Tokyo Electron) and OnWafer Technologies (acquired by KLA-Tencor). He is presently a Director of the Center for Research in Energy Systems Transformation, and of the Berkeley Educational Alliance for Research in Singapore.
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