The heat transfer coefficient of wall surface is one of the important parameters in building energy consumption analysis. In this paper two parameters were measured by data acquisition system including the dynamic heat flux of wall surface and the temperature difference between indoor air and wall surface. The sampling data was modeled by genetic algorithm and the calculating formula of the heat transfer coefficient is obtained finally. Study of the experimental and the predictive data verifies that the predictive result is satisfactory agreement with the measured heat flux. Therefore, genetic algorithm is an effective approach to procure heat transfer coefficient from dynamic experimental data of wall surface and possesses high enough accuracy.
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