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Yasuhiro Tanoue, Tokyo City University
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Hideaki Nagano, Ph.D., Tokyo City University
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Shinsuke Kato, Ph.D., University of Tokyo Institute of Industrial Science
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Itsuhei Khori, Tokyo City University
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Air-conditioning systems are often designed based on the model experiment and the numerical simulation. However, such study methods spend much time and costs in order to obtain the result. Therefore, the prediction method of indoor thermal environment with less time and cost is required. As for the practical use period, the air-conditioning system controls the supply air temperature and the airflow rate based on the feed-back control system which has temperature sensors. In this paper, Contribution Ratio of Indoor Climate (CRI) is employed to predict the distribution of the air temperature for the sake of the more efficient control system. The vehicle cabin and its air-conditioning system are focused because in-vehicle environment is a relatively severe condition compared with indoor environment of building. The purpose of this paper is to investigate the prediction accuracy of the air temperature in vehicle with CRI in order to clarify its applicability.
