Chapter
Jun 13, 2019
ASCE International Conference on Computing in Civil Engineering 2019

Development of a Virtual Reality Integrated Community-Scale Eco-Feedback System

Publication: Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation

ABSTRACT

A growing number of community energy initiatives have enlarged energy-related social networks to the community level. Information provision is deemed as an important role in such programs while energy data disclosure offers a great opportunity to promote energy savings by engaging energy-related actors. However, it is crucial to communicate this data in an effective way. In this research, we develop a virtual reality (VR) integrated eco-feedback system that enables both occupants and facility managers to interact with real-time energy consumption data represented in a community scale 3D immersive environment. This paper presents the detailed front-end and back-end design and development of this novel VR-integrated eco-feedback system using Georgia Tech’s campus as a test case for implementation. The VR-integrated community scale eco-feedback system is capable of visually characterizing differences in energy consumption across a large number of buildings of different types, and will be tested by users in future research. This research, when deployed broadly in cities, may help promote energy-aware behaviors of occupants and timely intervention strategies to achieve energy savings in urban areas.

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ACKNOWLEDGEMENTS

This material is based upon work supported by the China Scholarship Council (No. 201806260269) and the National Science Foundation under Cyber-Physical Systems Grant No. 1837021. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors alone and do not necessarily reflect the views of the China Scholarship Council or the National Science Foundation.

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Information & Authors

Information

Published In

Go to Computing in Civil Engineering 2019
Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation
Pages: 87 - 94
Editors: Yong K. Cho, Ph.D., Georgia Institute of Technology, Fernanda Leite, Ph.D., University of Texas at Austin, Amir Behzadan, Ph.D., Texas A&M University, and Chao Wang, Ph.D., Louisiana State University
ISBN (Online): 978-0-7844-8242-1

History

Published online: Jun 13, 2019

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Authors

Affiliations

Graduate Student, Dept. of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr. NW, Atlanta, GA 30332. E-mail: [email protected]
Abigail Francisco [email protected]
Graduate Student, Dept. of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr. NW, Atlanta, GA 30332. E-mail: [email protected]
Neda Mohammadi [email protected]
Postdoctoral Fellow, Dept. of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr. NW, Atlanta, GA 30332. E-mail: [email protected]
John E. Taylor, Ph.D. [email protected]
Professor, Dept. of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr. NW, Atlanta, GA 30332. E-mail: [email protected]

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