OPTIMISING VENTILATION FOR THERMAL COMFORT AND INFECTION CONTROL IN VEHICLES: A REVIEW ON CFD APPLICATIONS AND TECHNIQUES
DOI:
https://doi.org/10.11113/jm.v48.631Keywords:
Thermal comfort, Infection control, Vehicle,, , Ventilation, Computational fluid dynamics, Thermal comfort, Infection control, Vehicle, Ventilation, Computational fluid dynamicsAbstract
Effective ventilation in vehicles is crucial for ensuring thermal comfort and controlling airborne infections. This review focuses on the application of Computational Fluid Dynamics (CFD) in optimising vehicle ventilation systems. It examines various CFD methodologies, including turbulence models, meshing techniques, and solver algorithms, as well as their impact on ventilation performance. The review highlights that RNG k-ε and SST k-ω are among the most commonly used turbulence models in vehicle cabin simulations, based on their suitability for modelling complex airflow patterns and their validation against measured data. It also examines meshing techniques that influence the reliability of CFD simulations, including structured, unstructured, and hybrid meshes. This review article also discusses solver algorithms and their role in efficiently solving the governing equations of fluid flow and heat transfer. Various CFD approaches have been employed to reduce the risk of particle transmission by improving airflow distribution and contaminant removal effectiveness. Moreover, CFD has been used to enhance thermal comfort by optimising temperature distribution and managing heat loads. By synthesising recent advancements and case studies, this review provides valuable insights for researchers and practitioners, aiming to enhance ventilation systems in vehicles through advanced CFD techniques. This work aligns with Sustainable Development Goal (SDG) 3 (Good Health and Well-Being), by improving air quality and reducing infection risks, and SDG 11 (Sustainable Cities and Communities), by contributing to safer and more comfortable transportation solutions. The integration of CFD into vehicle ventilation optimisation supports the creation of healthier and more efficient transportation systems, ultimately contributing to broader sustainability goals.
References
Liao, Y.G., Vehicles: A New Open Access Journal to Publish Your Ground Vehicle Research Results. Vehicles, 2019. 1: p. 1-2.
Tran, P.T.M., et al., In-car occupants' exposure to airborne fine particles under different ventilation settings: Practical implications. Atmospheric Environment, 2024. 318: p. 120271.
Deol, A.K., et al., Estimating ventilation rates in rooms with varying occupancy levels: Relevance for reducing transmission risk of airborne pathogens. PLoS One, 2021. 16(6): p. e0253096.
Helfers, A., et al., Visualizing ventilation in the bus: Addressing risk perception in public transport passengers. Transportation Research Part F: Traffic Psychology and Behaviour, 2024. 101: p. 236-249.
American Society of Heating, Refrigerating, and Air Conditioning Engineers. Thermal environment conditions for human occupancy: ANSI/ASHRAE Standard 55-2013. 2013; Available from: https://www.ashrae.org/file%20library/technical%20resources/standards%20and%20guidelines/standards%20addenda/55_2013_b_20141209.pdf.
Hoof, J.v., M. Mazej, and J.L.M. Hensen, Thermal comfort: research and practice. FBL, 2010. 15(2): p. 765-788.
Djongyang, N., R. Tchinda, and D. Njomo, Thermal comfort: A review paper. Renewable and Sustainable Energy Reviews, 2010. 14(9): p. 2626-2640.
Guo, N., et al., Dynamic thermal radiation regulation for thermal management. Next Energy, 2023. 1(4): p. 100072.
Frank, L.D., M.A. Andresen, and T.L. Schmid, Obesity relationships with community design, physical activity, and time spent in cars. American Journal of Preventive Medicine, 2004. 27(2): p. 87-96.
Lajunen, A., Y. Yang, and A. Emadi, Review of Cabin Thermal Management for Electrified Passenger Vehicles. IEEE Transactions on Vehicular Technology, 2020. 69(6): p. 6025-6040.
Fears, A.C., et al., Persistence of Severe Acute Respiratory Syndrome Coronavirus 2 in Aerosol Suspensions. Emerg Infect Dis, 2020. 26(9): p. 2168-71.
Morawska, L., et al., How can airborne transmission of COVID-19 indoors be minimised? Environment International, 2020. 142: p. 105832.
Nielsen, P.V. and C. Xu, Multiple airflow patterns in human microenvironment and the influence on short-distance airborne cross-infection – A review. Indoor and Built Environment, 2022. 31(5): p. 1161-1175.
Sørensen, S.B. and K. Kristensen, Low-cost sensor-based investigation of CO2 and volatile organic compounds in classrooms: Exploring dynamics, ventilation effects and perceived air quality relations. Building and Environment, 2024. 254: p. 111369.
Chang, T.B., et al., Development of a CFD model for simulating vehicle cabin indoor air quality. Transportation Research Part D: Transport and Environment, 2018. 62: p. 433-440.
Marshall, G.J., et al., Thermal Management of Vehicle Cabins, External Surfaces, and Onboard Electronics: An Overview. Engineering, 2019. 5(5): p. 954-969.
Satish, U., et al., Is CO2 an indoor pollutant? Direct effects of low-to-moderate CO2 concentrations on human decision-making performance. Environ Health Perspect, 2012. 120(12): p. 1671-7.
Ezeamii, V., et al., Air Quality Monitoring in Schools: Evaluating the Effects of Ventilation Improvements on Cognitive Performance and Childhood Asthma. Cureus, 2025.
Fan, Y., et al., Short-term exposure to indoor carbon dioxide and cognitive task performance: A systematic review and meta-analysis. Building and Environment, 2023. 237: p. 110331.
Mund, C., S.K. Rathore, and R.K. Sahoo, A review of solar air collectors about various modifications for performance enhancement. Solar Energy, 2021. 228: p. 140-167.
Atoyebi, E.O., et al., 2.05 - Scaffold modeling advancement in biomaterials application, in Comprehensive Materials Processing S. Hashmi, Editor. 2024, Elsevier: Oxford. p. 56-71.
Hafiz, M., et al. A review: Fundamentals of computational fluid dynamics (CFD). in Proceedings of the 4th International Conference on Green Design and Manufacture. 2018. Ho Chi Minh.
Hami, K., Turbulence Modeling a Review for Different Used Methods. International Journal of Heat and Technology, 2021. 39: p. 227-234.
Gorman, J., et al., Turbulence Models Commonly Used in CFD, in Applications of Computational Fluid Dynamics Simulation and Modeling, S. Bhattacharyya, Editor. 2021, IntechOpen: Rijeka.
Halim, M., et al., The Evaluation of k-ε and k-ω Turbulence Models in Modelling Flows and Performance of S-shaped Diffuser. International Journal of Automotive and Mechanical Engineering, 2018. 15: p. 5161-5177.
Zhang, H., et al., Studies of air-flow and temperature fields inside a passenger compartment for improving thermal comfort and saving energy. Part II: Simulation results and discussion. Applied Thermal Engineering, 2009. 29(10): p. 2028-2036.
Zhang, H., et al., Studies of air-flow and temperature fields inside a passenger compartment for improving thermal comfort and saving energy. Part I: Test/numerical model and validation. Applied Thermal Engineering, 2009. 29(10): p. 2022-2027.
Mao, Y., J. Wang, and J. Li, Experimental and numerical study of air flow and temperature variations in an electric vehicle cabin during cooling and heating. Applied Thermal Engineering, 2018. 137: p. 356-367.
Bianco, V., et al., Numerical investigation of transient thermal and fluidynamic fields in an executive aircraft cabin. Applied Thermal Engineering, 2009. 29(16): p. 3418-3425.
Tan, J., et al., Numerical Simulation of Airflow Velocity and Temperature Distribution in an Aircraft Cabin. Journal of Physics: Conference Series, 2024. 2747(1): p. 012042.
Karkoulias, D.G., et al., Computational Fluid Dynamics Study of Wing in Air Flow and Air–Solid Flow Using Three Different Meshing Techniques and Comparison with Experimental Results in Wind Tunnel. Computation, 2022. 10(3): p. 34.
Allison, C. Meshing in FEA: Structured vs Unstructured meshes. 2020; Available from: https://onscale.com/meshing-in-fea-structured-vs-unstructured-meshes/?utm_source=chatgpt.com.
Ali, Z., P.G. Tucker, and S. Shahpar, Optimal mesh topology generation for CFD. Computer Methods in Applied Mechanics and Engineering, 2017. 317: p. 431-457.
Wijesooriya, K., et al., A technical review of computational fluid dynamics (CFD) applications on wind design of tall buildings and structures: Past, present and future. J. Build. Eng., 2023. 74: p. 106828.
Wijesooriya, K., et al., A technical review of computational fluid dynamics (CFD) applications on wind design of tall buildings and structures: Past, present and future. Journal of Building Engineering, 2023. 74: p. 106828.
Bode, F., et al., Impact of realistic boundary conditions on CFD simulations: A case study of vehicle ventilation. Building and Environment, 2025. 267: p. 112264.
Li, H., L. Rong, and G. Zhang, Reliability of turbulence models and mesh types for CFD simulations of a mechanically ventilated pig house containing animals. Biosystems Engineering, 2017. 161: p. 37-52.
Kaya, K. and O. Özcan, A numerical investigation on aerodynamic characteristics of an air-cushion vehicle. Journal of Wind Engineering and Industrial Aerodynamics, 2013. 120: p. 70-80.
Tan, H., et al., Utilising localised exhaust and air curtain to reduce airborne particle settlement on surgical patients: potential future application in operating rooms? Journal of Thermal Analysis and Calorimetry, 2024. 149: p. 11323–11336.
Baker, N., G. Kelly, and P. O'Sullivan, A grid convergence index study of mesh style effect on the accuracy of the numerical results for an indoor airflow profile. International Journal of Ventilation, 2020. 19(4): p. 300-314.
Wang, S., et al., Integrated Predictions of the Influence of Mesh Size, Casting Defects and SDAS on the Fatigue Life of Aluminum Alloy Wheels. Journal of Materials Research and Technology, 2025. 35: p. 3956-3967.
Kek, H.Y., et al., Is thermal-guided mobile air supply a practical measure in burn isolation wards? Potential future applications. Journal of Thermal Analysis and Calorimetry, 2024.
Volk, A., U. Ghia, and C. Stoltz, Effect of grid type and refinement method on CFD-DEM solution trend with grid size. Powder Technology, 2017. 311: p. 137-146.
Katz, A. and V. Sankaran, Mesh quality effects on the accuracy of CFD solutions on unstructured meshes. Journal of Computational Physics, 2011. 230(20): p. 7670-7686.
Tan, L. and Y. Yuan, Computational fluid dynamics simulation and performance optimization of an electrical vehicle Air-conditioning system. Alexandria Engineering Journal, 2022. 61(1): p. 315-328.
Tan, H., et al., Current and potential approaches on assessing airflow and particle dispersion in healthcare facilities: a systematic review. Environ Sci Pollut Res Int, 2022. 29(53): p. 80137-80160.
Zienkiewicz, O.C., R.L. Taylor, and P. Nithiarasu, Chapter 1 - Introduction to the Equations of Fluid Dynamics and the Finite Element Approximation, in The Finite Element Method for Fluid Dynamics O.C. Zienkiewicz, R.L. Taylor, and P. Nithiarasu, Editors. 2014, Butterworth-Heinemann: Oxford. p. 1-29.
Liu, X.L., W.Q. Tao, and Y.L. He, A simple method for improving the SIMPLER algorithm for numerical simulations of incompressible fluid flow and heat transfer problems. Engineering Computations, 2005. 22(8): p. 921-939.
Tan, H., et al., Does human movement-induced airflow elevate infection risk in burn patient’s isolation ward? A validated dynamics numerical simulation approach. Energy and Buildings, 2023. 283: p. 112810.
Zhou, P., et al., Performance evaluation of different pressure-velocity decoupling schemes in built environment simulation. Energy and Buildings, 2022. 257: p. 111763.
Kek, H.Y., et al., Evaluating the impact of human movement-induced airflow on particle dispersion: A novel real-time validation using IoT technology. Energy and Buildings, 2024. 323: p. 114825.
Serra, N. and V. Semiao, ESIMPLE, a new pressure–velocity coupling algorithm for built-environment CFD simulations. Building and Environment, 2021. 204: p. 108170.
Boughanmi, N., J. Frisch, and C. van Treeck, Evaluation of the airflow distribution of a vertical air ventilation system in a car cabin using PIV measurements and CFD simulations. International Journal of Heat and Fluid Flow, 2024. 107: p. 109411.
Djeddou, M., et al., A Diffusion-Inertia Model for the simulation of particulate pollutants dynamics inside a car cabin. Journal of Aerosol Science, 2024. 175: p. 106279.
Pan, Y., et al., Evaluation of intervention measures in reducing the driver's exposure to respiratory particles in a taxi with infected passengers. Science of The Total Environment, 2023. 902: p. 166099.
Qin, D., et al., Indoor air formaldehyde (HCHO) pollution of urban coach cabins. Scientific Reports, 2020. 10: p. 332.
Chang, T.-B., et al., Development of a CFD model for simulating vehicle cabin indoor air quality. Transportation Research Part D: Transport and Environment, 2018. 62: p. 433-440.
Bode, F., et al. The influence of the Inlet angle of vehicle air diffuser on the thermal comfort of passengers. in 2017 Int. Conf. Energy Environ. (ICEM) 2017. Bucharest.
Zeng, Y., M. Katsuta, and T. Anamizu, Numerical Simulation of Heat Flow in a Vehicle Cabin Using the Personal Air Conditioning System. Advanced Materials Research, 2013. 694-697: p. 755-761.
Kılıç, M. and G. Sevilgen, The effects of using different type of inlet vents on the thermal characteristics of the automobile cabin and the human body during cooling period. International Journal of Advanced Manufacturing Technology - INT J ADV MANUF TECHNOL, 2012. 60: p. 799–809.
Mazej, M. and V. Butala, Investigation in the Characteristics of the Personal Ventilation Using Computational Fluid Dynamics. Indoor and Built Environment, 2012. 21: p. 749-771.
Voelker, C. and O. Kornadt. Human body's micro-climate: Measurement and simulation for the coupling of CFD with a human thermoregulation model. in Proc. Build. Simul. 2011: 12th Conf. Int. Build. Perform. Simul. Assoc. 2011. Sydney.
Martinho, N., A. Gameiro Lopes, and M. Gameiro da Silva. CFD Modeling of Benchmark Test for Flow Around a Detailed Computer Simulated Person. in 7th Int. Therm. Manikin Model. Meet. 2008. University of Coimbra.
Danca, P.A., I. Nastase, and F. Bode, The influence of different air flows introduced on the thermal comfort of car passengers during the cooling period – Numerical Study, in IOP Conf. Ser.: Earth Environ. Sci. 2021, IOP Publishing. p. 012112.
Fišer, J. and J. Pokorný, Effect of car speed on amount of air supplied by ventilation system to the space of car cabin. EPJ Web Conf., 2014. 67: p. 02027.
Djeddou, M., et al., On the application of statistical turbulence models to the simulation of airflow inside a car cabin. Physics of Fluids, 2023. 35: p. 025106.
Khatoon, S. and M.H. Kim, Thermal Comfort in the Passenger Compartment Using a 3-D Numerical Analysis and Comparison with Fanger’s Comfort Models. Energies, 2020. 13: p. 690.
Pirouz, B., et al., CFD Investigation of Vehicle's Ventilation Systems and Analysis of ACH in Typical Airplanes, Cars, and Buses. Sustainability, 2021. 13: p. 6799.
Mathai, V., A. Das, and K. Breuer, Aerosol transmission in passenger car cabins: Effects of ventilation configuration and driving speed. Physics of Fluids, 2022. 34: p. 021904.
Warey, A., et al., Data-driven prediction of vehicle cabin thermal comfort: using machine learning and high-fidelity simulation results. International Journal of Heat and Mass Transfer, 2020. 148: p. 119083.
Zhou, Q., Thermal comfort in vehicles, in Faculty Of Engineering And Sustainable Development. 2013, University of Gävle.
Simion, M., L. Socaciu, and P. Unguresan, Factors which Influence the Thermal Comfort Inside of Vehicles. Energy Procedia, 2016. 85: p. 472-480.
Simons, B., et al., An Assessment of Thermal Comfort in Multi Storey Office Buildings in Ghana. Journal of Building Construction and Planning Research, 2014. 02: p. 30-38.
ASHRAEHandbook Fundamentals. 2017, ASHRAE, American Society of Heating, Refrigerating and Air–Conditioning Engineers, Inc.: Peachtree Corners, GA, USA.
Alahmer, A., et al., Effect of relative humidity and temperature control on in-cabin thermal comfort state: Thermodynamic and psychometric analyses. Applied Thermal Engineering, 2011. 31(14): p. 2636-2644.
Karthick, L., et al., CFD analysis of rotating diffuser in a SUV vehicle for improving thermal comfort. Mater. Today Proc., 2022. 52: p. 1014-1025.
Taftian, M., Thermal Comfort Analysis Inside of a Recreational Vehicle, in Mechanical and Mechatronics Engineering. 2020, University of Waterloo: Waterloo, Ontario, Canada.
Cigarini, F., et al., Modeling and Experimental Investigation of Thermal Comfort and Energy Consumption in a Battery Electric Bus. World Electric Vehicle Journal, 2021. 12: p. 7.
Jose, S.S. and R.K. Chidambaram, Thermal Comfort Optimization in an Electric Vehicle. International Journal of Heat and Technology, 2021. 39: p. 1957-1965.
Sattar, S.A., et al., Airborne Infectious Agents and Other Pollutants in Automobiles for Domestic Use: Potential Health Impacts and Approaches to Risk Mitigation. J Environ Public Health, 2016. 2016: p. 1548326.
Mariita, R., et al., Towards a Healthy Car: UVC LEDs Inside Automobile HVAC Chamber Offers Effective Complementary Disinfection to Ensure Clean Cabin Air. Atmosphere, 2022. 13: p. 1926.
Feng, Z., et al., Indoor airborne disinfection with electrostatic disinfector (ESD): Numerical simulations of ESD performance and reduction of computing time. Building and Environment, 2021. 200: p. 107956.
Wang, C.C., et al., Airborne transmission of respiratory viruses. Science, 2021. 373(6558): p. eabd9149.
Downloads
Published
How to Cite
Issue
Section
License
Copyright of articles that appear in Jurnal Mekanikal belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions or any other reproductions of similar nature.















