Verification of the Validity of Moisture Transfer Model for Prediction of Indoor Moisture Generation Rate

실내 수증기 발생량 예측을 위한 습기 전달 모델의 검증에 관한 연구

  • Lee, Dong-Kweon (Dept. of Architecture, Graduate School, Inha University) ;
  • Kim, Eui-Jong (Dept. of Architecture, Graduate School, Inha University) ;
  • Choi, Won-Ki (Dept. of Architecture, Graduate School, Inha University) ;
  • Suh, Seung-Jik (Dept. of Architectureal Engineering, Inha University)
  • 이동권 (인하대학교 대학원 건축학부) ;
  • 김의종 (인하대학교 대학원 건축학부) ;
  • 최원기 (인하대학교 대학원 건축학부) ;
  • 서승직 (인하대학교 건축학부)
  • Published : 2006.03.31

Abstract

Moisture in a building is one of the most important variables influencing building performance, human health, and comfort of indoor environment. However, there are still lacks in the knowledge of understanding the moisture problem well and controlling moisture. Accordingly, in order to provide the fundamental data to control moisture contents in the indoor air, this study was to predict moisture contents transferred through building envelopes and indoor moisture generation rate. Moisture transfer model was made by physical relations in each node, and the indoor moisture generation rate was gained by comparing the model with experimental analyses. From the study, we found out that moisture generation rate was critical and day-periodic, so that we predicted the indoor moisture content by substituting the constant value gained from the average in a day for the moisture generation rate.

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References

  1. Bennett et al., Estimating the contribution of individual work tasks to room concentration : method applied to embalming, American Industrial Hygiene Association Journal, No. 57, pp. 599-609, 1996
  2. Xiaoshu Lu, Estimation of indoor moisture generation rate from measurement in buidings, Building and Environment, No. 38, pp. 665-675, 2003
  3. J. A. Duffie, W. A. Beckman, Solar engineering of thermal processes, John Willey & Sons, 1991
  4. Frank P. Incrofera, David P. Dewit, Fndamentals of Heat and Mass Transfer, John Wiley & Sons
  5. Steven C. Chapra, Raymond P. Canale, Numerical Methods for Engineerings, Mc Graw Hill