Dr. Qianchuan Zhao received the B.E. degree in automatic control in July 1992, the B.S. degree in applied mathematics in July 1992, and MS and Ph.D. degrees in control theory and its applications in July 1996, all from Tsinghua University, Beijing, China. He is currently a Professor and Director of the Center for Intelligent and Networked Systems (CFINS), Department of Automation, Tsinghua University. His current research focuses on the modeling, control and optimization of complex networked systems under uncertain environments with applications in smart buildings and industry. He is a senior member of IEEE. He is a senior editor of the journal IEEE Transactions on Automation Science and Engineering.
His current research focuses on the modeling, control and optimization of complex networked systems under uncertain environments with applications in smart buildings and industry. He is a senior member of IEEE. He is a senior editor of the journal IEEE Transactions on Automation Science and Engineering.
Effective operation of Hydrogen-Based Building Energy Systems with the help from AIoT technologies
Building systems account for about 30% total energy consumptions around the world. In this talk, we will consider a Hydrogen-based building multi-energy system (HBMES) which seems a promising framework to utilize renewable power to improve energy efficiency of building systems. We will analyze the potential of introducing a combination of AI and IoT technologies to address challenges facing by more traditional smart buildings solutions when dealing with the long term optimization of HBMES, for example lack of coordination between load and power supply and effectively dealing with uncertainties in both demand and supply. Along this line of research, more accurate occupancy detection, more flexible and robust control are shown to be possible.