Abstract

In order to conduct in-depth researches on rationality of air conditioning system equipment of a high-speed train as well as its pipeline system design, working conditions of the air conditioning system and distribution of aerodynamic characteristics including pressure, velocity and temperature in high speed trains should be computed carefully at the design stage. Therefore, the finite volume method was used to solve a governing equation of computational fluid dynamics. The aerodynamic characteristics of pipelines of the air conditioning system and the complete high speed train were computed, so the indoor distribution of wind velocity, temperature and gas concentration (carbon oxide, carbon dioxide, nitrogen and so forth) was obtained. The flow field index and the thermal comfort index were used to evaluate the indoor thermal comfort degree. In this way, whether rationality of the air conditioning system design and indoor aerodynamic characteristic could satisfy requirements for design specifications can be analyzed. Results show that: Under winter or summer working conditions, wind velocity was relatively high at the passageway door, where the maximum wind velocity was more than 1 m/s and would make passengers uncomfortable. Air flow velocity outside comfortable regions was more than 0.05 m/s, satisfying UIC553 standards. Velocity distribution was basically the same indoors, where wind velocity was large at positions perpendicular to the air supply hole, and the maximum wind velocity was more than 1 m/s, but wind velocity was uniform in the passenger region, which was basically lower than 0.2 m/s and satisfied UIC553 standards. In summer and winter working conditions, distribution of pressure, velocity and temperature was not uniform, where the maximum temperature gradient was near the air inlet in the compartment. Air components in the compartment satisfied requirements for comfort. The most uncomfortable regions in the compartment were concentrated at the passageway. Air supply holes distributed symmetrically on the train roof caused high air flow intensity, high wind velocity, low temperature and high humidity at the passageway in the compartment, so the thermal comfort was low, and it is feasible to adjust the layout of air supply holes appropriately.

Highlights

  • With the continuously increased train speeds, requirements for comfort in the compartment become increasingly higher

  • The most uncomfortable regions in the compartment were concentrated at the end corridor; air supply holes distributed symmetrically on the train roof caused high air flow intensity, high wind velocity, low temperature and high humidity at the compartment end corridor, so the thermal comfort was low, and it is feasible to adjust the layout of air supply holes appropriately

  • 4) The most uncomfortable regions in the compartment were concentrated at the end corridor; air supply holes distributed symmetrically on the train roof caused high air flow intensity, high wind velocity, low temperature and high humidity at the end corridor, so the thermal comfort was low, and it is feasible to adjust the layout of air supply holes appropriately

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Summary

Introduction

With the continuously increased train speeds, requirements for comfort in the compartment become increasingly higher. Zhang [8, 9] analyzed impacts of no-load and loaded states as well as solar radiation on temperature fields in semi-cushioned seat trains with air-conditioning systems and used the PMV index to analyze thermal comfort in the compartment, but failed to consider an air duct structure in the simulation model. Chen [10] conducted a simulation computation of flow fields in semi-cushioned sleeper trains with air-conditioning systems and analyzed human body comfort, where the air duct structure was not considered either. Based on the computational fluid dynamics method, the paper conducted a numerical analysis on a train air conditioning system and fluid characteristics with considering thermal-flow coupling. The paper evaluated thermal comfort degree in the compartment using the flow field index and thermal comfort index in order to analyze rationality of the air conditioning system design and provide a simulation basis for optimization analysis on flow fields in high-speed trains

Computational mathematic model for flow fields in high-speed trains
Geometric model of compartments
Basic conditions and hypotheses
Air supply modes of air conditioning pipeline systems
Mesh division
Pressure distribution in the seat compartment
Velocity distribution in the seat compartment
Temperature distribution in the sleeper compartment
Temperature distribution in the seat compartment
Analysis on gas concentrations in the seat compartment
Velocity distribution in the sleeper compartment
Findings
Conclusions
Full Text
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