Tianzhen Hong
Computational Senior Scientist/Engineer
THong@lbl.gov
eta.lbl.gov/people/Tianzhen-Hong
Dr. Tianzhen Hong is a Senior Scientist, Principal Investigator, and Deputy Head of the Building Technologies Department. He leads the Urban Systems Group and a research team working on a portfolio of projects, focusing on data, methods, modeling and simulation tools, and policy for design and operation of low energy buildings and sustainable urban systems. He is leading the EnergyPlus development at LBNL. He established and chairs the ASHRAE Multidisciplinary Task Group on occupant behavior in buildings. He actively contributed to international collaborations such as the U.S.-China Clean Energy Research Center on Building Energy Efficiency, IEA EBC Annex 21, 53, 66, 79, and 81. He was co-Operating Agent of Annex 66 and co-lead of Subtask 3 of Annex 79. One of his software toolkit, CBES, won the 2019 R&D 100 Award. He received B.Eng. and Ph.D. in HVACR, and B.Sc. in Applied Mathematics from Tsinghua University, China.
Urban Systems Research
Urban Systems Group, http://UrbanSystems.lbl.gov
City Building Energy Saver (CityBES), CityBES.lbl.gov
Occupant Behavior Research
LBNL, http://behavior.lbl.gov
Occupancy Simulator, http://occupancysimulator.lbl.gov
IEA EBC Annex 79 (2018-2023): Occupant-centric building design and operation
IEA EBC Annex 66 (2013-2018): Definition and simulation of occupant behavior in buildings
IEA EBC Annex 53 (2008-2013): Total Energy Use in Buildings: Analysis & Evaluation Methods
ASHRAE Multidisciplinary Task Group on Occupant Behavior in Buildings, ASHRAE MTG.OBB
Building Energy Modeling and Analysis Tools
Commercial Building Energy Saver: California version, http://cbes.lbl.gov; National version,http://cbespro.lbl.gov
EnergyPlus, http://energyplus.net
https://scholar.google.com/citations?user=x5m2zBYAAAAJ&hl=en
Quantifying the impacts of climate change and extreme climate events on energy systems
Authors: A.T.D. Perera; V.M. Nik; D. Chen; J.L. Scartezzini; T. Hong
Reinforcement learning for building controls: The opportunities and challenges
Authors: Z. Wang; T. Hong
Revisiting individual and group differences in thermal comfort based on ASHRAE database
Authors: Z. Wang; H. Zhang; Y. Hi; M. Luo; Z. Li; T. Hong; B. Lin
State-of-the-art on research and applications of machine learning in the building life cycle
Authors: T. Hong; Z. Wang; X. Luo; W. Zhang
System-level key performance indicators for building performance evaluation
Authors: H. Li; T. Hong; S.Hoon Lee; M. Sofos
Ten questions on urban building energy modeling
Authors: T. Hong; Y. Chen; X. Luo; N. Luo; S.Hoon Lee
A novel approach for selecting typical hot-year (THY) weather data
Authors: S. Guo; D. Yan; T. Hong; C. Xiao; Y. Cui
Advanced Building Control via Deep Reinforcement Learning
Authors: R. Jia; M. Jin; K. Sun; T. Hong; C. Spanos
An inverse approach to solving zone air infiltration rate and people count using indoor environmental sensor data
Authors: H. Li; T. Hong; M. Sofos
Assessment of occupant-behavior-based indoor air quality and its impacts on human exposure risk: A case study based on the wildfires in Northern California
Authors: N. Luo; W. Weng; X. Xu; T. Hong; M. Fu; K. Sun