2024
DOI: 10.3390/en17092224
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Improving the Fuel Economy and Energy Efficiency of Train Cab Climate Systems, Considering Air Recirculation Modes

Ivan Panfilov,
Alexey N. Beskopylny,
Besarion Meskhi

Abstract: Current developments in vehicles have generated great interest in the research and optimization of heating, ventilation, and air conditioning (HVAC) systems as a factor to reduce fuel consumption. One of the key trends for finding solutions is the intensive development of electric transport and, consequently, additional requirements for reducing energy consumption and modifying climate systems. Of particular interest is the optimal functioning of comfort and life support systems during air recirculation, i.e.,… Show more

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Cited by 1 publication
(3 citation statements)
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“…Figure 10 shows the velocity vectors in the plane passing through the driver in normal scale (Figure 11a) and enlarged scale (Figure 11b). To assess the flow turbulence for the above parameters of flow rate and deflector area, Figure 10 shows the turbulence intensity value [49]. According to the criterion for assessing the value of turbulence intensity, values of more than 1% are considered high [47].…”
Section: Numerical Resultsmentioning
confidence: 99%
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“…Figure 10 shows the velocity vectors in the plane passing through the driver in normal scale (Figure 11a) and enlarged scale (Figure 11b). To assess the flow turbulence for the above parameters of flow rate and deflector area, Figure 10 shows the turbulence intensity value [49]. According to the criterion for assessing the value of turbulence intensity, values of more than 1% are considered high [47].…”
Section: Numerical Resultsmentioning
confidence: 99%
“…The k − ε model can also be used; the k − ω and k − ε turbulence models are the most universal and will give similar results [49,50]. For this problem, the discrepancies are less than 1%.…”
Section: Numerical Analysis and Mesh Convergencementioning
confidence: 95%
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