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Digital Twin Creation for Urban Building Energy Systems

A Sustainable Cities collaboration which brings the Institute for Environmental Design & Engineering together with Statistical Science to improve the creation of digital twins of the built environment

CGI of UCL East by Glass Canvas (pixelated)

1 September 2021

Grant


Grant: Grand Challenges Small Grants
Year awarded: 2021-22
Amount awarded: £5,000

Academics 


  • Rui Tang, Institute for Environmental Design and Engineering
  • Jinghao Xue, Statistical Science

Virtual representation and reproduction of urban building energy systems (UBES).  are pivotal to create better understandings of the effects of new technologies and interventions and climate changes on energy consumption and environmental emissions. The objectives of Digital Twin Creation for Urban Building Energy Systems include:

  1. A roadmap that integrates machine learning techniques into traditional engineering-based methods for UBES digital twin creation
  2. Using data from the UCL campus to demonstrate the importance of machine learning in the creation of UBES digital twin

Impacts and Outputs


  • Awaiting impacts and outputs