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Review

On the Experimental, Numerical and Data-Driven Methods to Study Urban Flows

1
SimEx/FLOW, Engineering Mechanics, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden
2
School of Aerospace Engineering, Universidad Politécnica de Madrid, 28040 Madrid, Spain
*
Author to whom correspondence should be addressed.
Academic Editors: Dimitris Drikakis and Eusebio Valero
Energies 2021, 14(5), 1310; https://doi.org/10.3390/en14051310
Received: 12 January 2021 / Revised: 5 February 2021 / Accepted: 11 February 2021 / Published: 28 February 2021
(This article belongs to the Special Issue Methods and Numerical Applications in Fluid Mechanics)
Understanding the flow in urban environments is an increasingly relevant problem due to its significant impact on air quality and thermal effects in cities worldwide. In this review we provide an overview of efforts based on experiments and simulations to gain insight into this complex physical phenomenon. We highlight the relevance of coherent structures in urban flows, which are responsible for the pollutant-dispersion and thermal fields in the city. We also suggest a more widespread use of data-driven methods to characterize flow structures as a way to further understand the dynamics of urban flows, with the aim of tackling the important sustainability challenges associated with them. Artificial intelligence and urban flows should be combined into a new research line, where classical data-driven tools and machine-learning algorithms can shed light on the physical mechanisms associated with urban pollution. View Full-Text
Keywords: urban flows; coherent structures; experiments; simulations; data-driven methods urban flows; coherent structures; experiments; simulations; data-driven methods
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MDPI and ACS Style

Torres, P.; Le Clainche, S.; Vinuesa, R. On the Experimental, Numerical and Data-Driven Methods to Study Urban Flows. Energies 2021, 14, 1310. https://doi.org/10.3390/en14051310

AMA Style

Torres P, Le Clainche S, Vinuesa R. On the Experimental, Numerical and Data-Driven Methods to Study Urban Flows. Energies. 2021; 14(5):1310. https://doi.org/10.3390/en14051310

Chicago/Turabian Style

Torres, Pablo, Soledad Le Clainche, and Ricardo Vinuesa. 2021. "On the Experimental, Numerical and Data-Driven Methods to Study Urban Flows" Energies 14, no. 5: 1310. https://doi.org/10.3390/en14051310

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