Lab member, Jing Wang, had successfully defended her PhD dissertation on “Occupant-centric Modeling and Control for Low-carbon and Resilient Communities”.
SBS Lab member, Jing Wang, successfully defended her PhD dissertation on “Occupant-centric Modeling and Control for Low-carbon and Resilient Communities”.
This dissertation aims to address a series of challenges surrounding low-carbon and resilient communities. Currently, very few tools are available for community-scale dynamic modeling and control-based studies and building load control informed by real-time carbon emission signals is underdeveloped as utility price-driven control has so far been dominant. Enhancement of community resilience in island mode through optimal operation strategies is also often faced with computational challenges given the large number of controllable loads. Furthermore, the stochasticity of occupant behavior heavily affects the prediction of control performances. To address these challenges, carbon emission responsive building control algorithms have been proposed in this dissertation work. Uncertainty aware mixed-integer linear programming-based optimization has been adopted and cutting-edge modeling techniques, such as Modelica, has been utilized.
Dr. Jing Wang's research focuses on resilient energy systems, building energy system modeling and control, and building-to-grid integration. For more insight about her scholarly work please click this link.
Congratulations to Dr. Wang on this well-deserved success and wish her all the best in her professional career!