[Title] Analytics on Sustainable Human Building Ecosystem -- A New Approach to Understand Barriers toEnergy Efficient Buildings
[Speaker] Prof. Yong X. Tao, PACCAR Professor of Engineering, Director of PACCAR Institute of Technology Distinguished Research Professor, University of North Texas, USA
[Date & Time] Friday, October 11, 2013 4:00p.m.
[Place] I²CNER Hall, Ito campus, Kyushu University
[Abstract] Reducing waste energy consumption by making buildings more energy efficient has been touted as one of low-hanging-fruit solutions towards carbon-neutral energy societies. Yet, despite significant progress in research and technology development, adoptions of energy efficient measures in buildings are still limited. This talk explores a new interdisciplinary area, "Sustainable Human-Building Ecosystem (SHBE)," that integrates human behavioral science, social and economic sciences in tandem with sciences of building design, engineering, and metrology for data validation of building energy consump- tion and occupant comforts. The developed collaboration strategies and standardized data platform could lead to significant reductions of the uncertainty in predicting human adaptation to energy efficiency and sustainability of building ecosystems, which will also address fundamental questions such as "what are the benefits of sustainable building investment to people at a personal, business, or urban planning level?" A recently formed SHBE Research Coordination Network (RCN) will be introduced. This RCN aims to foster a new understanding of the complex interactions among the key elements of human- building ecosystems and to work towards a set of new theories for integration of predictive models to explore the following hypothesis: Integrating occupant behaviors with built environment performances validated from large field data sets can lead to significant reductions of the uncertainty in predictive models for human adaptation to energy efficiency and sustainability of building ecosystems. Examples of such modeling work include building physical system and environment modeling; human behavior modeling; social/policy impact modeling; dynamic life cycle assessment (LCA) and business ecosystem modeling; and model integration and validation.
[Host] Professor Yasuyuki Takata
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