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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 104
PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo
Paper 329
Optimising Ventilation Ducting in High Speed and Regional Trains B. Angel1, S. Ségrétain2 and N. Paradot3
1Renuda, Belleville-sur-Saône, France
, "Optimising Ventilation Ducting in High Speed and Regional Trains", in J. Pombo, (Editor), "Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 329, 2014. doi:10.4203/ccp.104.329
Keywords: thermal comfort, computational fluid dynamics, TGV, high-speed trains, ventilation ducting, optimisation.
Summary
The French National Railway Company, SNCF, has conducted a research program
on thermal comfort in order to better understand passengers' perception of comfort
and improve specifications for new trains and train refurbishment programs. First
surveys showed that passengers found the ventilation uncomfortable in winter,
particularly in the seats next to the window ventilation grills.
SNCF therefore wanted to improve the flow exiting the window ventilation ducting in order to improve passenger thermal comfort in winter conditions. As an initial step, this was to be done using computational fluid dynamics (CFD). The CFD project was divided into two parts. Part 1 focused on developing a simplified CFD model of a section of a typical high speed and regional express train passenger car in order to understand current operating conditions and test various ideas for improving thermal comfort. Part 2 focussed on the modelling of a TGV passenger car using an optimised ventilation ducting identified in Part 1. An optimised ducting was identified and resulted in a more uniform air velocity profile exiting the window ventilation grills. A comparison of CFD results from parts 1 and 2 validated the approach of using a simplified model to define the optimised ducting. purchase the full-text of this paper (price £20)
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