Dr. Tianzhen Hong is a Staff Scientist and Deputy Head of the Building Technology Department of Lawrence Berkeley National Laboratory, California, USA. He leads the Urban Systems Group at LBNL. His research focuses on building performance simulation, big data analytics, technologies and policy for design and operation of low energy and sustainable urban buildings and systems. He is an IBPSA Fellow and the Operating Agent of IEA EBC Annex 66 on occupant behavior in buildings. He has more than 180 publications and is an editor of the Energy and Buildings journal.
Urban Systems on High Performance Computing.
Urban systems are interconnected systems of buildings, microclimate, transportation, power and water supply, and humans. More than half of the world population now lives in urban areas which consumed more than half of the global primary energy. Urban systems research offers insights into urban resource efficiency and sustainability, leveraging emerging opportunities in big data, machine learning, and exascale computing. In this talk, research methods and outcomes will be presented on: (1) Representation and modeling of building stock in cities for deep retrofit – evaluation of technologies and strategies to reduce energy use and GHG emissions by 50%; and (2) Multiscale coupled urban systems - modeling and quantifying interdependencies among buildings and urban microclimate to improve understanding and more importantly to inform urban planning and city policymaking. Collaboration between LBNL and Chile on city-scale building energy efficiency as well as high-performance computing for building energy efficiency in Brazil will also be discussed.