Tianzhen Hong

Computational Senior Scientist/Engineer

Deputy, Building Technology Department

Building Technology & Urban Systems Division

Simulation Research Group

Lawrence Berkeley National Laboratory
90R3147
1 Cyclotron Road, Berkeley, CA 94720 USA
Office Location: 090-3148C
Download Portrait Photo

Tianzhen Hong

Awards

October 2019

Tianzhen Hong, Sang Hoon Lee, Xuan Luo, Kaiyu Sun, Cindy Regnier, Mary Ann Piette, Yixing Chen, Rongpeng Chen, Sarah Taylor-Lange, Phillip Price

Professional Associations

ASHRAE MTG.OBB, Chair , Occupant behavior in buildings
IBPSA, Fellow , Building performance simulation
ASHRAE SPC 205, Voting Member , Standard Representation of Performance Simulation Data for HVAC&R and Other Facility Equipment

Journal and Editorial Board Memberships

Energy and Buildings (2016 to present), Editor
Building and Environment (2014-2019); Building Simulation (2013 to present); Applied Energy (2017 to present), Editorial Board

Publications

2021

Wang, Zhe, Tianzhen Hong, Han Li, and Mary Ann Piette. "Predicting city-scale daily electricity consumption using data-driven models." Advances in Applied Energy 2 (2021) 100025.
Li, Han, Zhe Wang, and Tianzhen Hong. "Occupant-Centric key performance indicators to inform building design and operations." Journal of Building Performance Simulation (2021) 1 - 29.
Qian, Mingyang, Da Yan, Tianzhen Hong, and Hua Liu. "Operation and performance of VRF systems: Mining a large-scale dataset." Energy and Buildings 230 (2021) 110519.
Sun, Kaiyu, Na Luo, Xuan Luo, and Tianzhen Hong. "Prototype energy models for data centers." Energy and Buildings 231 (2021) 110603.

2020

Hong, Tianzhen, Yixing Chen, Xuan Luo, Na Luo, and Sang Hoon Lee. "Ten questions on urban building energy modeling." Building and Environment 168 (2020) 106508.
Hong, Tianzhen, Daniel Macumber, Han Li, Katherine Fleming, and Zhe Wang. "Generation and representation of synthetic smart meter data." Building Simulation 13.6 (2020) 1205 - 1220.
Chen, Bingqing, Ming Jin, Zhe Wang, Tianzhen Hong, and Mario Bergés. "Towards Off-policy Evaluation as a Prerequisite for Real-world Reinforcement Learning in Building Control." BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and TransportationProceedings of the 1st International Workshop on Reinforcement Learning for Energy Management in Buildings & Cities. Virtual Event JapanNew York, NY, USA: ACM, 2020.

Pages