Cornell researchers developed a software tool that models a small city’s building energy use efficiently, using Ithaca, New York, as a case study. The tool quickly mapped over 5,000 buildings and their energy consumption, allowing simulations of potential investments like weatherization and solar panels. This helps policymakers focus on cost-effective decarbonization strategies to achieve carbon neutrality by 2030. The tool's automated workflow makes it accessible for smaller cities, and it is scalable for larger regions, indicating its broad applicability in urban energy planning and policy development.
The software tool developed by Cornell researchers models small city energy use quickly, allowing simulations for cost-effective decarbonization strategies. It can inform policy prioritization.
Using Ithaca, New York, as a case study, the tool mapped over 5,000 buildings and their energy use, simulating investments to guide carbon neutrality efforts.
The automatable workflow provides accessibility and accuracy for smaller cities lacking resources, while also being scalable for larger cities and entire states.
Timur Dogan emphasizes the tool's efficiency in mapping energy consumption and retrofit potential, impacting policies related to carbon emissions, financial aspects, and energy efficiency.
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