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Parametric Investigation Using Computational Fluid Dynamics of the HVAC Air Distribution in a Railway Vehicle for Representative Weather and Operating Conditions

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  • Christian Suárez

    (AICIA, Andalusian Association for Research & Industrial Cooperation, Camino de los Descubrimientos s/n, Edf. Escuela Superior de Ingenieros de Sevilla, 41092 Seville, Spain)

  • Alfredo Iranzo

    (Thermal Engineering Group, Energy Engineering Department, School of Engineering, University of Seville, Camino de los Descubrimientos s/n, 41092 Seville, Spain)

  • José Antonio Salva

    (AICIA, Andalusian Association for Research & Industrial Cooperation, Camino de los Descubrimientos s/n, Edf. Escuela Superior de Ingenieros de Sevilla, 41092 Seville, Spain)

  • Elvira Tapia

    (Thermal Engineering Group, Energy Engineering Department, School of Engineering, University of Seville, Camino de los Descubrimientos s/n, 41092 Seville, Spain)

  • Gonzalo Barea

    (Hispacold, C/Pino Alepo 1, Polígono Industrial El Pino, 41016 Seville, Spain)

  • José Guerra

    (Thermal Engineering Group, Energy Engineering Department, School of Engineering, University of Seville, Camino de los Descubrimientos s/n, 41092 Seville, Spain)

Abstract

A computational fluid dynamics (CFD) analysis of air distribution in a representative railway vehicle equipped with a heating, ventilation, air conditioning (HVAC) system is presented in this paper. Air distribution in the passenger’s compartment is a very important factor to regulate temperature and air velocity in order to achieve thermal comfort. A complete CFD model, including the car’s geometry in detail, the passengers, the luminaires, and other the important features related to the HVAC system (air supply inlets, exhaust outlets, convectors, etc.) are developed to investigate eight different typical scenarios for Northern Europe climate conditions. The results, analyzed and discussed in terms of temperature and velocity fields in different sections of the tram, and also in terms of volumetric parameters representative of the whole tram volume, show an adequate behavior from the passengers’ comfort point of view, especially for summer climate conditions.

Suggested Citation

  • Christian Suárez & Alfredo Iranzo & José Antonio Salva & Elvira Tapia & Gonzalo Barea & José Guerra, 2017. "Parametric Investigation Using Computational Fluid Dynamics of the HVAC Air Distribution in a Railway Vehicle for Representative Weather and Operating Conditions," Energies, MDPI, vol. 10(8), pages 1-13, July.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:8:p:1074-:d:105765
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    References listed on IDEAS

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    1. Chow, W. K., 2002. "Ventilation of enclosed train compartments in Hong Kong," Applied Energy, Elsevier, vol. 71(3), pages 161-170, March.
    2. Thompson, J.A. & Maidment, G.G. & Missenden, J.F., 2006. "Modelling low-energy cooling strategies for underground railways," Applied Energy, Elsevier, vol. 83(10), pages 1152-1162, October.
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    Cited by:

    1. Behrouz Pirouz & Domenico Mazzeo & Stefania Anna Palermo & Seyed Navid Naghib & Michele Turco & Patrizia Piro, 2021. "CFD Investigation of Vehicle’s Ventilation Systems and Analysis of ACH in Typical Airplanes, Cars, and Buses," Sustainability, MDPI, vol. 13(12), pages 1-22, June.
    2. Saboora Khatoon & Man-Hoe Kim, 2017. "Human Thermal Comfort and Heat Removal Efficiency for Ventilation Variants in Passenger Cars," Energies, MDPI, vol. 10(11), pages 1-13, October.
    3. Bjørn H. Hjertager, 2017. "Engineering Fluid Dynamics," Energies, MDPI, vol. 10(10), pages 1-2, September.
    4. Saboora Khatoon & Man-Hoe Kim, 2020. "Thermal Comfort in the Passenger Compartment Using a 3-D Numerical Analysis and Comparison with Fanger’s Comfort Models," Energies, MDPI, vol. 13(3), pages 1-15, February.
    5. Dāvis BUŠS & Jānis EIDUKS, 2019. "Controlling Of Train’S Interior Heating System For Maximum Energy Efficiency," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 14(3), pages 121-134, September.

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