Spatial-Temporal Building Energy Vulnerability Analysis: A Human-Centered Approach
Visiting speaker
Chen Xia
Ph.D. Candidate, Pennsylvania State University
Past Talk
Virtual talk
Wednesday
Mar 6, 2024
Watch video
1:00 pm
EST
Virtual
177 Huntington Ave.
11th floor
Devon House
58 St Katharine's Way
London E1W 1LP, UK
Online
Register here
With global trends in electrification, communities highly dependent on electricity face increasing challenges, especially with the increasing frequency of extreme weather events. These events surge electricity demand and cause widespread blackouts, affecting communities unevenly across different regions and times. This reality raises an urgent need to comprehensively assess residential energy vulnerabilities to ensure energy security for households. This presentation proposes a novel approach to building energy vulnerability analysis with a human-centered perspective. By integrating data on occupancy demographics, mobility patterns, and characteristics of the built environment, the work will provide a comprehensive profile of residential energy vulnerability which not only acknowledges the environmental aspects but also emphasizes the socio-economic dimensions of energy usage, thereby ensuring more targeted, equitable, and effective building decarbonization and electrification strategies.
About the speaker
About the speaker
Chen Xia is a Ph.D. Candidate in the Department of Architectural Engineering at Pennsylvania State University. Chen's overall research objectives lie in utilizing urban data analytics and large-scale energy modeling to advance sustainable and resilient urban systems. Chen's Ph.D. dissertation focuses on the spatial-temporal analysis of community energy vulnerability during extreme weather events.
Chen Xia is a Ph.D. Candidate in the Department of Architectural Engineering at Pennsylvania State University. Chen's overall research objectives lie in utilizing urban data analytics and large-scale energy modeling to advance sustainable and resilient urban systems. Chen's Ph.D. dissertation focuses on the spatial-temporal analysis of community energy vulnerability during extreme weather events.