Considering that energy use in buildings represents more than 40% of global energy consumption and that humans spend 90% of the time indoors, technologies enabling smarter buildings can lead to significant reductions in greenhouse gas emissions, and produce a comfortable, efficient, and safe environment.  This is to be achieved through smart sensing, advanced automation, and intelligent computing/communication technologies to efficiently operate, monitor, and maintain buildings. 

 

In this talk, three selected topics will be highlighted, including 1) Integrated Building Energy Management, 2) HVAC (Heating, Ventilation, and Air Condition) Fault Detection, and 3) Crowd Guidance in Building Emergencies.  For each topic, problem importance, challenges in problem formulation and solution methodology as well as our novel ideas will be stressed.  The goal is to demonstrate that Smart Buildings are a fertile problem context for meaningful research and development.  The talk will end with a brief introduction of the Technical Committee on Smart Buildings of the IEEE Robotics and Automation Society (RAS). 

 

演讲人简历　Peter B. Luh received his B.S. from National Taiwan University, M.S. from M.I.T., and Ph.D. from Harvard University.  He has been with the University of Connecticut since 1980, and currently is the SNET Professor of Communications & Information Technologies.  He was the Head of the Department of Electrical and Computer Engineering from 2006 to 2009.  He is also a member of the Chair Professors Group, Center for Intelligent and Networked Systems (CFINS) in the Department of Automation, Tsinghua University, Beijing, China.  Professor Luh is a Fellow of IEEE.  He was the VP of Publications of RAS (2008-2011), the founding Editor-in-Chief of the IEEE Transactions on Automation Science and Engineering (2003-2007), and the Editor-in-Chief of IEEE Transactions on Robotics and Automation (1999-2003).  His interests include Smart Power Systems – smart grid, design of auction methods for electricity markets, robust renewable (wind and solar) integration to the grid, and electricity load and price forecasting with demand response; Intelligent Manufacturing Systems – planning, scheduling, and coordination of design, manufacturing, and service activities; Smart and Green Buildings and Eco Communities – optimized energy management, HVAC fault detection and diagnosis, emergency crowd guidance, and eco communities. 

 

联系人：赵千川 62783612, zhaoqc@tsinghua.edu.cn