[Outstanding Paper Award]•
Snapshot
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Summary
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To achieve an ambitious target in carbon emission reduction, it is essential to explore ways to save energy in the building sector through energy retrofitting and optimizing operations, among other strategies. However, conducting retrofit analysis and operational optimization for even a single building demands expert audits and in-depth analysis, entailing substantial effort and cost. This fact leaves numerous small to medium buildings, which occupy a significant portion and possess high energy-saving potential, neglected without reaping the technological benefits. Therefore, the aim of this project is to develop an automated framework for building energy modeling in an urban context, enabling users to easily and rapidly create simplified whole-building energy models, not only for individual buildings but also for multiple buildings simultaneously. The anticipated outcomes will find applications in carbon reduction policy-making, solar analysis (e.g., PV generation), and retrofit analysis. The target users include local governments, owners of small to medium-sized buildings, architectural firms, and construction companies, who seek cost-effective solutions without incurring significant expertise expenses.
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Demo
Case study #1: Paris, France
Case study #2: Seoul, South Korea (in Progress)