Special Seminar: Building Cluster Simulations for Early Design, Retrofitting and Real-time Optimal Control

Xiwang Li, Postdoctoral Fellow, Harvard Center for Green Buildings and Cities

Thursday, March 31, 2016, 3:30–4:30pm

Zaleski Auditorium, MacLean B01

Buildings consume about 41.1% of primary energy and 74% of the electricity in the U.S. Moreover, it is estimated by the National Energy Technology Laboratory that more than 1/4 of U.S. electricity demand could be dispatchable if only buildings could respond to that dispatch through advanced building energy control and operation strategies and smart grid infrastructure. It is also envisioned that neighboring buildings will have the tendency to form a cluster, an open cyber-physical system to exploit the economic opportunities provided by smart grids and distributed energy devices. To this end, energy efficiency oriented building early phase design, retrofitting and real time optimal control are essential to the building performance in terms of energy efficiency and built environment. In this presentation, I will be discussing how my research has taken steps to formulate a solution to improve the energy efficiency through building energy modeling for building early phase design, retrofitting and operation optimization. Beyond building energy modeling, I will extend the research into occupant behavior, smart grid and smart city context, and then tie it to the topic of Net-zero energy building cluster design and smart grid interaction. This topic will provide new opportunities for innovation and improvement in energy efficiency, built environment and demand response. Finally, I will discuss how simulation, informatics and artificial intelligence could ultimately change how buildings are designed, built and operated, as well as the unique opportunities for innovation and education along the way.

About the Speaker

Xiwang Li is a postdoctoral fellow at Harvard Center for Green Buildings and Cities. His research focuses on simulation based building design and retrofitting, building energy system modeling and operation optimization, fault detection and diagnostics, as well as building to grid interactions. Prior to joining the Harvard University, he received his PhD degree in Civil Engineering from Drexel University. Xiwang's past professional experiences at Siemens also provide in depth knowledge in building controls and monitoring processes. With this diverse background, Xiwang brings unique perspectives and innovations to the overall building systems design and operation.

For more information, contact Jessica Widdicombe at jessica.c.widdicombe@dartmouth.edu.