Application of computational fluid dynamics in subway environment without fire and smoke—Literature review

Yunlong Peng, Zhi Gao, Wowo Ding, Jianshun Zhang, Xiaozhao Li, Jinfeng Xu, Yanli Wei

Research output: Contribution to journalReview articlepeer-review

Abstract

As more megacities emerge owing to urbanization and industrialization, the subway has become the main public transportation mode worldwide, providing punctuality and convenience. The subway environment, including its ventilation, thermal comfort, air quality, and energy consumption, remains an area of great focus for scientists and passengers. In addition to theoretical and experimental methods, computational fluid dynamics (CFD) has been used in past decades to predict 3D airflows, temperatures, and pollutant dispersion in subway tunnels, stations, and cabins. In this review, recent applications of CFD involving three scenarios—subway tunnels, stations, and passenger cabins—and two objective parameters—particulate matter, and energy savings till 2021—are systematically presented. The boundary conditions, validation methods, turbulence models, and mesh information are summarized. Finally, the possibilities regarding novel models, open-source CFD codes, and best practice guidelines are discussed with the aim to predict future perspectives on the subway environment.

Original languageEnglish (US)
Article number108408
JournalBuilding and Environment
Volume206
DOIs
StatePublished - Dec 2021

Keywords

  • Application
  • Computational fluid dynamics (CFD)
  • Piston effect
  • Subway environment
  • Ventilation

ASJC Scopus subject areas

  • Environmental Engineering
  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Building and Construction

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