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DOE OSTI · 3001778

UrbanScaping: Community Spatial Data Visualization & Analytics

Abstract

Evaluating the electrification potential of buildings through retrofitting is crucial for reducing carbon emissions and the carbon footprint of built environments. This study leverages the Automatic Building Energy Modeling (AutoBEM) software, integrating the Model America database to create an urban context-based spatial analysis platform for community engagement and development. We selected Camp Hill Borough, PA, as a case study to analyze building-specific energy performance and evaluate the electrification potential of each building by switching to different Heating, Ventilation, and Air Conditioning (HVAC) systems and measurement components. The simulation results generated by the workflow provide retrofitting suggestions to help mitigate the carbon footprint as well as energy saving statistics of buildings. Additionally, the developed web-based interface serves as a community engagement platform, allowing residents to provide feedback and further develop interactive communication protocols. The outcomes of this project offer a baseline for community electrification planning and contribute to the design of low-carbon communities.

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BibTeXRIS

Chowdhury, Shovan [ORNL], Li, Frank [ORNL] (ORCID:0000000238879968), Stubbings, Avery [ORNL] (ORCID:0000000309275775), W hawkins, Timothy [Shippensburg University], New, Joshua [ORNL] (ORCID:0000000180150583), Lian, Jamie [ORNL] (ORCID:0000000312705350). 2025-07-01. UrbanScaping: Community Spatial Data Visualization & Analytics. https://doi.org/10.1115/es2025-156681

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