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Autor(en) / Beteiligte
Titel
The environment and energy consumption of a subway tunnel by the influence of piston wind
Ist Teil von
  • Applied energy, 2019-07, Vol.246, p.11-23
Ort / Verlag
Elsevier Ltd
Erscheinungsjahr
2019
Link zum Volltext
Quelle
Elsevier ScienceDirect Journals Complete
Beschreibungen/Notizen
  • •The dynamic mesh numerical method is validated by the model experiment.•Energy conservation by effective utilization of piston wind is significant.•The energy saving rates are about 13%∼32% in different climatic regions.•The minimum train speed is calculated based on the CO2 concentration.•From the perspective of thermal environment, the optimal train speed is 30 m/s. 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.
Sprache
Englisch
Identifikatoren
ISSN: 0306-2619, 1872-9118
eISSN: 1872-9118
DOI: 10.1016/j.apenergy.2019.04.026
Titel-ID: cdi_swepub_primary_oai_DiVA_org_mdh_43180

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