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Review Article | Open Access

LES over RANS in building simulation for outdoor and indoor applications: A foregone conclusion?

Department of the Built Environment, Eindhoven University of Technology, P.O. box 513, 5600 MB Eindhoven, the Netherlands
Department of Civil Engineering, KU Leuven, Kasteelpark Arenberg 40 - bus 2447, 3001 Leuven, Belgium
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Abstract

Large Eddy Simulation (LES) undeniably has the potential to provide more accurate and more reliable results than simulations based on the Reynolds-averaged Navier-Stokes (RANS) approach. However, LES entails a higher simulation complexity and a much higher computational cost. In spite of some claims made in the past decades that LES would render RANS obsolete, RANS remains widely used in both research and engineering practice. This paper attempts to answer the questions why this is the case and whether this is justified, from the viewpoint of building simulation, both for outdoor and indoor applications. First, the governing equations and a brief overview of the history of LES and RANS are presented. Next, relevant highlights from some previous position papers on LES versus RANS are provided. Given their importance, the availability or unavailability of best practice guidelines is outlined. Subsequently, why RANS is still frequently used and whether this is justified or not is illustrated by examples for five application areas in building simulation: pedestrian-level wind comfort, near-field pollutant dispersion, urban thermal environment, natural ventilation of buildings and indoor airflow. It is shown that the answers vary depending on the application area but also depending on other—less obvious—parameters such as the building configuration under study. Finally, a discussion and conclusions including perspectives on the future of LES and RANS in building simulation are provided.

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Building Simulation
Pages 821-870

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Cite this article:
Blocken B. LES over RANS in building simulation for outdoor and indoor applications: A foregone conclusion?. Building Simulation, 2018, 11(5): 821-870. https://doi.org/10.1007/s12273-018-0459-3

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Received: 10 June 2018
Revised: 20 June 2018
Accepted: 21 June 2018
Published: 16 July 2018
© The Author(s) 2018

This article is published with open access at link.Springer.com

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.