The purpose of this study is to propose a new cooling system that can improve the problems of conventional cooling systems such as constant and monotonous air-flow, lower temperature than the ambient conditions, and energy efficiency. To improve these drawbacks, this study focuses on the dynamic characteristics of natural wind and the use of these characteristics as a control strategy of indoor cooling systems. In this paper, based on the field measurements, the characteristics of natural wind fluctuation are analyzed by the Fast Fourier Transform(FFT) analysis. The correlations between natural wind and thermal sense of the human subject can be found by using the PSD analysis, and the relationships can be modeled as a slope of the low frequencies of the natural wind spectrum, β-value. It is expected that the proper selection of β-value can simulate a comfortable wind and will improve the energy efficiency of cooling systems.
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