Deep learning to replace, improve, or aid CFD analysis in built environment applications: A review

Fast and accurate airflow simulations in the built environment are critical to provide acceptable thermal comfort and air quality to the occupants. Computational Fluid Dynamics (CFD) offers detailed analysis on airflow motion, heat transfer, and contaminant transport in indoor environment, as well a...

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Bibliographic Details
Published in:Building and environment 2021-12, Vol.206, p.108315, Article 108315
Main Authors: Calzolari, Giovanni, Liu, Wei
Format: Article
Language:English
Subjects:
Accuracy
Air flow
Air quality
Artificial intelligence
Artificial neural networks
Availability
Built environment
Computational fluid dynamics
Computer applications
Contaminants
Deep learning
Environment models
Fluid dynamics
Fluid flow
Fluid mechanics
Heat transfer
Hydrodynamics
Indoor environments
Learning theory
Literature reviews
Neural networks
Physical properties
Pollution dispersion
Pollution transport
Proper Orthogonal Decomposition
Simulation
Thermal comfort
Turbulence
Turbulence models
Turbulent flow
Urban environments
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