Prediction of Thermal Comfort Inside a Midibus Passenger Cabin Using CFD and Its Experimental Validation

Daithankar, Nilesh; Udawant, Kishor; Karanth, Nagesh Voderahobli

doi:10.4271/2015-26-0210

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…They have good agreement with the test results, confirmed the validity and reliability of the current CFD model. Daithankar, N. et al [5] developed methodology for predicting thermal comfort inside Midibus cabin and is validated very well with on road experimental datas. This methodology is helpful for predicting occupant thermal comfort with the given HVAC system in the hot climate conditions and showed that it meets the thermal comfort requirements of the passengers.…”

Section: Literature Surveymentioning

confidence: 93%

See 1 more Smart Citation

Prediction of HAVC Cool-Down Performance inside a Minibus Passenger Cabin Using CFD and Its Experimental Validation.

Mhetre¹,

Sathyanarayan²,

Diwan³

et al. 2019

SMSJ

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Now with more time spent by people while travelling and increasing mobility, providing passengers with a thermally comfortable experience are one of the important targets of any bus manufacturer. Conversely, comprehensive assessment through Climatic Wind Tunnel testing is costly and not possible during early stages of vehicle design. The aim of this work has been to develop a simplified simulation methodology to model the Minibus passenger cabin for cool down test. This study presents a methodology for predicting Heating, Ventilation and Air Conditioning (HVAC) cool-down performance inside Minibus cabin using Computational Fluid Dynamics (CFD) simulation to revise the HVAC duct design and parametric optimization in order to ensure thermal comfort of occupant. Heat Load is calculated analytically and has been considered in the CFD model and occupant heat load is considered as per ASHRAE standard. CFD simulation predicted the temperature and velocity distribution inside passenger cabin. Simulated cool-down results were found to be in good agreement with the experimental results. CFD cool-down prediction is useful in order to reduce time and costs related to climatic wind tunnel and road tests. Validated CFD model is used to study the effect of air flow on cool-down performance.

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Section: Literature Surveymentioning

confidence: 93%

“…Some researchers performed steady state simulation which cannot represent actual case. [4,5] Therefore it has been decided to develop simplified and time saving methodology to predict cool-down Climatic Wind Tunnel (CWT) testing performance in CFD.…”

Section: Literature Surveymentioning

confidence: 99%