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 (MA) 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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of ASME 2025 19th International Conference on Energy Sustainability, ES 2025 |
| Publisher | American Society of Mechanical Engineers (ASME) |
| ISBN (Electronic) | 9780791889039 |
| DOIs | |
| State | Published - 2025 |
| Event | 19th ASME International Conference on Energy Sustainability, ES 2025 - co-located with the Summer Heat Transfer Conference, SHTC 2025 - Westminster, United States Duration: Jul 8 2025 → Jul 10 2025 |
Publication series
| Name | Proceedings of ASME 2025 19th International Conference on Energy Sustainability, ES 2025 |
|---|
Conference
| Conference | 19th ASME International Conference on Energy Sustainability, ES 2025 - co-located with the Summer Heat Transfer Conference, SHTC 2025 |
|---|---|
| Country/Territory | United States |
| City | Westminster |
| Period | 07/8/25 → 07/10/25 |
Funding
The authors express their gratitude to all those who supported and contributed to this work. This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Researchs Urban Integrated Field Laboratories research activity.
Keywords
- Community Engagement
- Data Visualization
- Smart City
- Urban Sustainability