Tianzhen Hong

ORCID: 0000-0003-1886-9137
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About
Contact & Profiles
Research Areas
  • Building Energy and Comfort Optimization
  • Wind and Air Flow Studies
  • Urban Heat Island Mitigation
  • Energy Efficiency and Management
  • Smart Grid Energy Management
  • Facilities and Workplace Management
  • Sustainable Building Design and Assessment
  • Noise Effects and Management
  • Energy Load and Power Forecasting
  • BIM and Construction Integration
  • Integrated Energy Systems Optimization
  • Climate Change and Health Impacts
  • Impact of Light on Environment and Health
  • Refrigeration and Air Conditioning Technologies
  • Housing Market and Economics
  • Geothermal Energy Systems and Applications
  • Solar Radiation and Photovoltaics
  • Evacuation and Crowd Dynamics
  • Urban Green Space and Health
  • Infection Control and Ventilation
  • Air Quality Monitoring and Forecasting
  • Energy and Environment Impacts
  • Urban Design and Spatial Analysis
  • Transportation and Mobility Innovations
  • Transportation Planning and Optimization

Lawrence Berkeley National Laboratory
2016-2025

University of California, Berkeley
2023-2024

National Renewable Energy Laboratory
2023

Environmental Technologies (United States)
2008

National University of Singapore
1999-2000

Tsinghua University
1993-1998

Occupant behavior is one of the major factors influencing building energy consumption and contributing to uncertainty in use prediction simulation. Currently understanding occupant insufficient both design, operation retrofit, leading incorrect simplifications modeling analysis. This paper introduced most recent advances current obstacles quantifying its impact on use. The themes include advancements data collection techniques, analytical methods, simulation applications which provide...

10.1016/j.enbuild.2015.11.052 article EN cc-by-nc-nd Energy and Buildings 2015-11-22

10.1016/j.buildenv.2016.12.006 article EN publisher-specific-oa Building and Environment 2016-12-27

10.1016/j.buildenv.2019.106508 article EN publisher-specific-oa Building and Environment 2019-11-02

10.1016/j.apenergy.2020.115036 article EN publisher-specific-oa Applied Energy 2020-05-12

10.1016/j.enbuild.2014.11.065 article EN publisher-specific-oa Energy and Buildings 2014-12-17

10.1016/j.buildenv.2014.10.021 article EN publisher-specific-oa Building and Environment 2014-10-30

10.1016/j.enbuild.2014.11.067 article EN publisher-specific-oa Energy and Buildings 2014-12-04

10.1007/s12273-018-0444-x article EN Building Simulation 2018-04-12

Model Predictive Control (MPC) is a promising technique to address growing needs for heating, ventilation, and air-conditioning (HVAC) systems operate more efficiently with greater flexibility. However, due number of factors, including the required implementation expertise, lack high quality data, risk-adverse industry, MPC has yet gain widespread adoption. While many previous studies have shown advantages MPC, few analyzed effort associated practical challenges. In addition, work developed...

10.1016/j.apenergy.2022.119104 article EN cc-by Applied Energy 2022-05-06

With climate change leading to more frequent, intense, and longer durations of extreme weather events such as heat waves cold snaps, it is essential maintain safe indoor environmental conditions for occupants during events, which may coincide with, or even cause, power outages that expose residents health risks. Analyzing the impacts on thermal resilience buildings can help stakeholders (including occupants) understand risk inform them about mitigation adaptation actions. Moreover, analyzing...

10.1016/j.buildenv.2023.110806 article EN cc-by Building and Environment 2023-09-07
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