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CFD Modelling of Thermal Comfort in the Passenger Coach Cover

CFD Modelling of Thermal Comfort in the Passenger Coach

Open Access
|Feb 2023

Figures & Tables

Figure 1

The numerical passenger coach model – geometry
The numerical passenger coach model – geometry

Figure 2

The human model: side view (left) and axonometric view (right)
The human model: side view (left) and axonometric view (right)

Figure 3

The comparison of the distribution of air parameters: speed, temperature, in the vertical plane YZ, X=2.55 m (Plane 1), a) summer, b) winter
The comparison of the distribution of air parameters: speed, temperature, in the vertical plane YZ, X=2.55 m (Plane 1), a) summer, b) winter

Figure 4

The comparison of the distribution of air parameters: speed, temperature, in the horizontal plane YX, Z=−0.85 (Plane 3), a) summer, b) winter
The comparison of the distribution of air parameters: speed, temperature, in the horizontal plane YX, Z=−0.85 (Plane 3), a) summer, b) winter

Figure 5

The comparison of comfort zone in the vertical plane ZX, Y=−11.85 m (Plane 2), a) summer, b) winter
The comparison of comfort zone in the vertical plane ZX, Y=−11.85 m (Plane 2), a) summer, b) winter

Figure 6

Location of monitoring points used to determine air parameters and thermal comfort indicators in the coach
Location of monitoring points used to determine air parameters and thermal comfort indicators in the coach

Figure 7

Location of the monitoring axes used to determine thermal comfort for seated passengers
Location of the monitoring axes used to determine thermal comfort for seated passengers

Figure 8

The comparison of the local distribution of air temperature for passengers, in the vertical plane YZ, X=2.55 m (Plane 1), a) summer, b) winter
The comparison of the local distribution of air temperature for passengers, in the vertical plane YZ, X=2.55 m (Plane 1), a) summer, b) winter

Requirements of temperature parameters in the comfort zones [10]

ParametersQuality limit 1Quality limit 2
Range of mean interior temperature concerning the interior temperature setting1 K1.5 K
Horizontal range of the extreme interior air temperatures2 K2.8 K
Vertical range of the extreme interior air temperatures for seated passengers3 K5 K if the foot in the warmest point 3.5 K otherwise cases

Results of air parameters and thermal comfort indicators at monitoring points 1–36

AxisMonitoring pointSummerWinter
metabolic rate = 1 metclothing insulation = 0.5 clometabolic rate = 1 metclothing insulation = 1.25 clo
tiwRHPMVPPDDRtiwRHPMVPPDDR
°Cm/s%%%°Cm/s%%%
1124.50.1354.71.972.06.324.80.1339.20.48.56.3
223.90.2356.21.340.710.924.50.1240.61.024.95.5
321.80.0460.60.37.20.021.90.1645.90.612.89.8
2424.80.1556.20.922.96.824.80.1038.90.59.84.7
523.00.2959.90.05.014.223.90.1041.60.923.24.9
623.60.1857.60.47.99.522.80.0643.50.921.32.4
3724.90.1153.62.182.84.825.00.1339.00.48.76.0
824.30.1955.01.762.08.924.30.1242.00.923.05.9
921.80.1159.10.48.76.323.00.0843.01.024.93.8
41024.90.1158.21.342.94.824.70.1740.40.47.97.8
1123.70.2358.20.511.411.325.40.0940.41.130.43.8
1223.50.2457.30.26.311.822.60.0544.80.922.90.6
51324.70.1354.12.078.76.124.30.2039.50.36.59.2
1424.20.2355.61.553.110.623.80.1943.40.715.89.4
1522.20.0359.70.510.00.022.30.1345.20.612.87.8
61624.60.1656.51.024.87.824.70.1339.60.48.55.9
1724.00.1958.00.817.69.524.70.1339.50.924.06.4
1823.80.2057.00.47.89.821.90.1245.80.715.57.0
71924.30.1055.82.078.45.024.60.1439.60.47.76.6
2023.90.2756.11.341.312.525.10.1640.90.924.17.1
2119.70.0366.8−0.15.30.021.20.0350.10.714.00.0
82224.90.2055.60.922.08.824.50.1540.10.37.27.3
2323.70.1858.70.714.79.424.10.1142.60.922.85.5
2423.80.2057.60.510.110.021.50.1147.60.714.56.8
92524.90.1054.12.183.14.324.40.1439.50.36.56.9
2624.40.1655.41.970.57.824.60.1541.70.819.07.3
2722.10.2159.3−0.15.112.121.60.0447.50.714.10.0
102824.60.1456.41.128.56.924.30.1840.20.26.08.6
2924.30.1356.51.233.46.423.80.1146.10.820.15.7
3022.70.3260.2−0.48.215.720.50.0451.30.510.10.0
113124.00.1056.21.869.25.024.40.1340.60.36.86.3
3223.60.2556.91.234.112.223.30.1042.30.716.55.1
3320.80.0363.50.15.10.020.90.0848.90.611.74.3
123424.90.1655.21.025.67.324.30.1440.80.36.46.9
3524.10.1557.20.920.77.724.60.1443.30.819.56.5
3622.80.3259.5−0.47.615.620.80.0452.10.511.00.0
Mean23.70.1757.50.931.27.923.60.1243.30.615.05.5

Results of air parameters and thermal comfort indicators at monitoring points 1–12

Monitoring pointSummerWinter
metabolic rate = 1 metclothing insulation = 0.5 clometabolic rate = 1 metclothing insulation = 1.25 clo
tiRHPMVPPDDRtiRHPMVPPDDR
°C% %%°C% %%
124.754.71.866.98.323.542.1−0.25.88.4
224.055.81.341.47.624.440.60.26.17.7
324.556.61.130.17.624.340.40.26.010.6
424.655.00.817.86.223.842.30.05.08.7
525.054.22.283.46.423.843.60.15.14.4
624.555.11.865.74.724.739.50.47.77.5
722.959.10.05.016.724.639.20.47.68.8
826.351.60.817.68.924.241.10.25.73.5
924.854.11.868.37.823.841.50.15.25.1
1023.657.01.024.511.325.038.90.48.07.7
1123.058.30.25.713.224.738.90.48.19.4
1224.354.60.714.24.823.941.00.25.75.0
Mean24.455.51.136.78.624.240.80.26.37.2
DOI: https://doi.org/10.2478/acee-2022-0044 | Journal eISSN: 2720-6947 | Journal ISSN: 1899-0142
Language: English
Page range: 133 - 146
Submitted on: Jul 27, 2022
Accepted on: Oct 14, 2022
Published on: Feb 3, 2023
Published by: Silesian University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Agnieszka Palmowska, Izabela Sarna, published by Silesian University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.