Occupant Behavior Modeling for Improving Commercial Building Energy Use Simulation
Occupant behavior is one of the dominant factors that influence building energy use. Existing building energy simulation programs use typical occupant schedules that often fail to reflect dynamic interactions between building and occupants. An attempt to develop robust occupant behavior model which seamlessly integrates with building energy simulation programs will not only improve the functioning and estimation accuracy of building energy modeling, but also provide a deeper understanding of occupant behavior itself.
This seminar will discuss a pipeline of development, testing, and application of a novel occupant behavior model, in the context of commercial buildings. Agent-based Modeling (ABM) is used as the foundation of the occupant behavior model that captures occupant perceptions based on surrounding conditions. The model is tested in an educational building situated in the University of Florida campus. Relevant environmental data are used as input of the ABM to simulate corresponding output, which is compared with actual behavior record. The model is then applied to investigate the mutual impact of the building and occupants. A simulation coupling framework is implemented in Building Control Virtual Testbed (BCVTB) to exchange data between the occupant behavior simulator and EnergyPlus™. Three simulation scenarios are designed for a comprehensive result presentation.
Mengda Jia, PhD
University of Florida
Mengda Jia is a recent Ph.D. graduate from the School of Construction Management at University of Florida (UF). He also received a M.S. degree in Computer Science concurrently from UF during his doctoral studies. He holds M.S. degree in Civil Engineering from University of Southern California, USA and B.S. degree in Hydraulic and Hydroelectric Engineering from Tianjin University, China. He is an LEED Accredited Professional, and is awarded the Engineer-in-Training designation in the state of California. His research interests include occupant behavior modeling and wireless sensor networks in built environment, building/urban energy simulation and analytics, and real-time energy optimization at building level. He is an associate member of American Society of Civil Engineers (ASCE), student member of Construction Management Association of America (CMAA) and Institute of Electrical and Electronics Engineers (IEEE).