Correction

Study on dynamic variation of dew point temperature at attached air layer of radiant ceiling cooling panels (vol 13, pg 1281, 2020)

Journal

BUILDING SIMULATION
Volume 14, Issue 6, Pages 1861-1861

Publisher

TSINGHUA UNIV PRESS
DOI: 10.1007/s12273-021-0820-9

Keywords

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A prediction model for the dew-point temperature of the attached air layer of radiant ceiling cooling panels was investigated in this study, allowing for adjustment of panel temperature based on changes in indoor factors to prevent condensation. Experimental data verified the significant influence of factors such as distance from person to the attached air layer and number of people on the dew-point temperature. Results showed that the prediction model takes the form of a negative exponential function and the distance from person to the attached air layer has a strong impact on the increase rate and stable time of the air dew-point temperature.
Radiant ceiling cooling panels require an accurate and sensitive control system to avoid condensation; this is achieved by adjusting the temperature of radiant ceiling panels in adequate time. This study investigated a prediction model for the dew-point temperature of the attached air layer of the radiant ceiling cooling panels. When the number and position of people indoors change, the model can predict the change in dew-point temperature of the attached air layer for the purpose of adjusting the panel temperature in time to prevent condensation. The influence of different factors on the air dew-point temperature was investigated in this study. The relationship between the main influencing factor and the predicted dew-point temperature of the attached air layer was obtained, and experimental data were used to verify the simulation model. The results show that the distance from the person to the attached air layer, as well as the number of people, have a great influence on the dew-point temperature of the attached air layer. The prediction model of the air dew-point temperature takes the form of a negative exponential function. The distance from the person to the attached air layer is most affected by the prediction model's increase rate of the air dew-point temperature and value of the stable time.

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