Abstract
As cities and buildings become more interconnected, there is a need for better data management. Digital twins offer a potential solution, integrating building data, operations, and scenario simulation in one platform. in this paper, we present a preliminary digital twin of the UT Austin campus that mainly focuses on building energy use but also integrates additional geospatial datasets.
Recommended Citation
C. Lin et al., "Utwin: A Digital Twin of the Ut Austin Campus," BuildSys 2023 - Proceedings of the10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, pp. 282 - 283, Association for Computing Machinery (ACM), Nov 2023.
The definitive version is available at https://doi.org/10.1145/3600100.3626261
Department(s)
Biological Sciences
Publication Status
Open Access
Keywords and Phrases
digital twins; urban energy model
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Association for Computing Machinery, All rights reserved.
Publication Date
15 Nov 2023