Numerical Simulation of Different Ventilation Systems in an Airplane Cabin

Year 2022, , 409 - 416, 26.12.2022

Levent Bilir , Hasan Çelik Barış Özerdem

https://doi.org/10.18466/cbayarfbe.1073131

Abstract

Airplanes are the most popular way of transportation worldwide, especially for long haul. It facilitates the growth of global trade as well, besides promoting tourism and other employment developments. Passenger comfort and hygiene inside an airplane cabin became main concern for aircraft manufacturers. The possibility for a potential spread of infectious virus or bacteria even maximized this concern. Therefore, supplying sterile and particle-free air inside the aircraft cabin became extremely crucial more than ever. In order to ensure comfort and hygiene, regardless of the environment conditions inside the aircraft cabin, paved the way for researchers to focus on this topic, recently. It is obvious that, an important precaution for the spread of micro-organisms can be selecting an adequate air ventilation system inside the airplane cabin. In this study, a part of an airplane passenger cabin is modelled for four different scenarios. The streamlines of air, which is sent to the cabin from air ducts, are obtained and air flow path is observed for the investigated cases. The results of the numerical simulations are presented as the outcomes of this study. It is observed that the air mixing between different seat rows occur slightly only for sidewall supply and bottom return mixing ventilation and displacement ventilation systems, whereas the air mixing for the same seat row is seen for all ventilation systems. In conclusion, sidewall supply and bottom return mixing ventilation system is found the most appropriate one, even though it causes air recirculation at the same row seats.

Keywords

Air flow, Ansys-Fluent analysis, numerical analysis, airplane passenger cabin

References

• [1]. Conceiçao ST, Pereira, ML, Tribess, A. 2011, A review of methods applied to study airborne bio contaminants inside aircraft cabins. International Journal of Aerospace Engineering; vol. 2011: Article ID 824591, doi:10.1155/2011/824591. [2]. Khalil, EE. The comfort in commercial aircrafts cabins: A review. AIAA Scientific Forum, Orlando, FL, 6-10 January 2020.
• [3]. Melikov, AK, Dzhartov, V. 2013. Advanced air distribution for minimizing airborne cross infection in aircraft cabin. HVAC&R Research; 19: 926-933.
• [4]. Cao, X, Liu, J, Pei, J, Zhang, Y, Li, J, Zhu, X. 2014. 2D-PIV measurement of aircraft cabin air distribution with a high spatial resolution. Building and Environment; 82: 9-19.
• [5]. Zhang, Y, Liu, J, Pei, J, Li, J, Wang, C. 2017. Performance evaluation of different air distribution systems in an aircraft cabin mockup. Aerospace Science and Technology; 70: 359-366.
• [6]. Li, J, Liu, J, Wang, C., Wesseling, M, Müller, D. 2017. PIV experimental study of the large-scale dynamic airflow structures in an aircraft cabin: Swing and oscillation. Building and Environment; 125: 180-191.
• [7]. Wu, Y, Liu, H, Li, B, Yong, C, Tan, D, Fang, Z. 2017. Thermal comfort criteria for personal air supply in aircraft cabins in winter. Building and Environment; 125: 373-382.
• [8]. Mazumdar, S, Chen, QA. 2009. One-dimensional analytical model for airborne contaminant transport in airliner cabins. Indoor Air; 19: 3-13.
• [9]. Fiser, J, Jicha, M. 2013. Impact of air distribution system on quality of ventilation in small aircraft cabin. Building and Environment; 69: 171-182.
• [10]. Wang, H, Lin, M, Chen, Y. 2014. Performance evaluation of air distribution systems in three different China railway high-speed train cabins using numerical simulation, Building Simulation; 7: 629-638.
• [11]. Yang, S, Sun, X, Yu, T, Chen, X. 2015. Research on the numerical simulation of aircraft cabin smoke. Procedia Engineering; 121: 357-364.
• [12]. Maier, J, Marggraf-Micheel, C, Dehne, T, Bosbach, J. 2017. Thermal comfort of different displacement ventilation systems in an aircraft passenger cabin. Building and Environment; 111: 256-264.
• [13]. Kotb, H, Khalil, EE. 2020. Numerical simulation of airflow and airborne pathogen transport in aircraft cabins: Dynamic mesh analyses. AIAA Scientific Forum, 6-10 January 2020, Orlando, FL.
• [14]. Shi, Z, Bai, J, Han, Y. 2020. Distribution of ozone and its volatiles in indoor environment: a numerical simulation with CFD for the aircraft cabin. Environmental Technology; 24: 3146-3156.
• [15]. Pan Y, Lin, CH, Wei, D, C. Chen, 2020. Influence of surface roughness on particle deposition distribution around multi-slot cabin supply air nozzles of commercial airplanes. Building and Environment; 176: 106870.
• [16]. Wang, C, Zhang, J, Chao, J, Yang, C, Chen, H. 2021. Evaluation of dynamic air flow structures in a single-aisle aircraft cabin mockup based on numerical simulation. Indoor and Built Environment; https://doi.org/10.1177/1420326X21992094.
• [17]. Thysen JH, van Hooff, T, Blocken, B, van Heijst, GJF. 2021. CFD simulations of two opposing plane wall jets in a generic empty airplane cabin: Comparison of RANS and LES. Building and Environment; 205: 108174.
• [18]. Pirouz, B, Mazzeo, D, Palermo, SA, Naghib, SN, Turco, M, Piro, P. 2021. CFD investigations of vehicle’s ventilation systems and analysis of ACH in typical airplanes, cars and busses. Sustainability; 13: 6799.
• [19]. Ansys - Fluent Theory Guide, 2012, Realizable k- model, https://www.afs.enea.it/project/neptunius/docs/fluent/html/th/node60.htm (accessed at 03.02.2022)