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报告题目:
Beyond Technology: Improving Energy Efficiency through Social-Psychological Approaches
 报告人:
Prof. Chien-fei Chen
University of Tennessee, USA
报告时间:
2015-07-06 10:00
报告地点:
清华大学西主楼3区102
主办单位:
清华大学电机系
  简介:

报告题目:Beyond Technology: Improving Energy Efficiency through Social-Psychological Approaches
报 告 人:Prof. Chien-fei Chen  University of Tennessee, USA
报告时间:2015年7月6日,星期一,上午10:00
报告地点:清华大学西主楼3区102
主办单位:清华大学电机系
联 系 人:康重庆

报告内容
Abstract: Improving energy efficiency behaviors  requires the consideration of technology improvement and human factors. While a growing number of recent studies have focused on the importance of environmental behaviors in China, little attention has been paid to social-psychological factors associated with individuals’ energy conservation and demand response behaviors.   Gaining a more comprehensive understanding of the social-psychological influencing energy public/private behaviors is especially relevant for policy and academic conversations about mitigating global climate change.
Dr. Chen’s talk will address the advancement of social scientific perspectives in energy research by focusing on social and psychological theories and associated factors affecting energy efficiency behaviors in residents, workplace or organizations.

报告人简介
Chien-fei Chen is a research professor and director of education and diversity program at NSF-DOE engineering research center, Center for Ultra-wide-area Resilient Electric Energy Transmission Networks (CURENT) in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. Her research interests include public acceptance of grid and renewable energy technology and social-psychological factors affecting demand response and energy efficiency behaviors. Her  publications appear in the IEEE, the Journal of Energy and Social Science, American Sociological Association, Behavior, Energy and Climate Change Conference, and so on. Currently, she leads the social impact of grid technology for CURNET and sustainability education for the NSF-REC-SEES Network: Predictive Modeling Network for Sustainable Human-Building Ecosystems (SHBE). Dr. Chen has also involved with the investigation of social psychological factors affecting occupant behaviors for the International Energy Agency (IEA), Energy in Buildings and Communities (EBC) Annex 66. She has received several grant awards from NSF.

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