Control of Facility´s Humidity Using a Digital Twin Based on Deep Learning and CFD Simulations

  • Luis-Gómez, Jaume (Universitat Jaume I)
  • Martínez-Cuenca, Raúl (Universitat Jaume I)
  • Martínez, Francisco (Global Omnium)
  • Mascarós, Javier (Global Omnium)
  • Prades-Mateu, Óscar (Universitat Jaume I)
  • Borrás, Elisa (Oceanografic de Valencia)
  • Chiva, Sergio (Universitat Jaume I)

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This study has the aim of developing a functional digital twin based on CFD simulations of a maintenance room in order to control the air circulation system to prevent vapour condensation. The digital twin will use Deep Learning to predict the state of the room from real time sensor data.