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On COVID-19-safety ranking of seats in intercontinental commercial aircrafts: A preliminary multiphysics computational perspective

Building Simulation volume 14, pages 1585–1596 (2021)Cite this article

Abstract

The evolution of coronavirus disease (COVID-19) into a pandemic has severely hampered the usage of public transit systems. In a post-COVID-19 world, we may see an increased reliance on autonomous cars and personal rapid transit (PRT) systems, with inherent physical distancing, over buses, trains and aircraft for intracity, intercity, and interstate travel. However, air travel would continue to be the dominant mode of intercontinental transportation for humans. In this study, we perform a comprehensive computational analysis, using ANSYS Fluent, of typical intercontinental aircraft ventilation systems to determine the seat where environmental factors are most conducive to human comfort with regards to air quality, protection from orally or nasally released pollutants such as CO2 and coronavirus, and thermal comfort levels. Air velocity, temperature, and air pollutant concentration emitted from the nose/mouth of fellow travelers are considered for both Boeing and Airbus planes. In each plane, first class, business class, and economy class sections were analyzed. We present conclusions as to which is the optimum seat in each section of each plane and provide the data of the environmental conditions to support our inferences. The findings may be used by the general public to decide which seat to occupy for their next intercontinental flight. Alternatively, the commercial airliners can use such a model to plan the occupancy of the aircraft on long-duration intercontinental flights (viz., Airbus A380 and Boeing B747).

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Acknowledgements

Dr. S. Singh, Associate Teaching Professor, Carnegie Mellon University for his guidance and brainstorming activities with the authors. Pittsburgh Supercomputing Center (PSC) for computational resources.

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Author notes

  1. All authors contributed equally to the design and performance of the research, data analysis, writing, and editing the manuscript.

Affiliations

  1. Mechanical Engineering, W. M. Rice University, Houston, TX, USA

    Prathamesh S. Desai

  2. Courant Institute of Mathematical Sciences, New York University, New York, NY, USA

    Nihar Sawant

  3. Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA

    Andrew Keene

Authors
  1. Prathamesh S. Desai
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  2. Nihar Sawant
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  3. Andrew Keene
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Corresponding author

Correspondence to Prathamesh S. Desai.

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On COVID-19-safety ranking of seats in intercontinental commercial aircrafts: A preliminary multiphysics computational perspective

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Desai, P.S., Sawant, N. & Keene, A. On COVID-19-safety ranking of seats in intercontinental commercial aircrafts: A preliminary multiphysics computational perspective. Build. Simul. 14, 1585–1596 (2021). https://doi.org/10.1007/s12273-021-0774-y

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  • DOI: https://doi.org/10.1007/s12273-021-0774-y

Keywords

  • COVID-19
  • airborne coronavirus particles
  • multiphysics simulation
  • indoor air quality
  • thermal comfort
  • intercontinental aircraft