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The environment and energy consumption of a subway tunnel by the influence of piston wind
School of Environmental Science and Engineering, Tianjin University, China.
School of Environmental Science and Engineering, Tianjin University, China.
School of Environmental Science and Engineering, Tianjin University, China.
School of Environmental Science and Engineering, Tianjin University, China.
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2019 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 246, p. 11-23Article in journal (Refereed) Published
Abstract [en]

With the flourishing development of the subway construction, it becomes increasingly urgent to improve the subway tunnel environment and reduce the energy consumption of the tunnel ventilation system. The tunnel environment is significantly affected by the piston wind, which is influenced by the train speed. In this paper, a three-dimensional computational model of a subway tunnel is developed and validated through experiments. The model is used to study the carbon dioxide concentration and thermal environment of the subway tunnel. The optimal train speed is proposed with the aim to minimize the volume of mechanical supply air and to optimize the carbon dioxide concentration and thermal environment of the tunnel. In parallel with the considerations of tunnel environment, the subways in 25 cities of China are analyzed to study the energy conservation of the tunnel ventilation system by making full use of piston wind. The results indicate that the optimal train speed is 30 m/s based on the carbon dioxide concentration and thermal environment. The effective utilization of the piston wind can reduce 13%∼32% of the energy consumption for tunnel ventilation. The calculation method of the optimal train speed developed in this paper is also applicable to ordinary railway tunnels and high-speed railway tunnels.

Place, publisher, year, edition, pages
Elsevier Ltd , 2019. Vol. 246, p. 11-23
Keywords [en]
Carbon dioxide environment, Dynamic mesh, Energy conservation, Energy performance, Piston wind, Thermal environment
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-43180DOI: 10.1016/j.apenergy.2019.04.026ISI: 000466829000002Scopus ID: 2-s2.0-85064232053OAI: oai:DiVA.org:mdh-43180DiVA, id: diva2:1307164
Available from: 2019-04-26 Created: 2019-04-26 Last updated: 2019-05-24Bibliographically approved

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Campana, Pietro EliaYan, Jinyue

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CiteExportLink to record
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Citation style
  • apa
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  • vancouver
  • Other style
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  • de-DE
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  • nn-NO
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Output format
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