期刊
BUILDING AND ENVIRONMENT
卷 180, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.buildenv.2020.106958
关键词
Moisture buffer; Hygroscopic material; Dynamic model; Physical model; Statistical model; Multi identical test houses; Plywood; Gypsum plasterboard; Massive timber
资金
- Aalto University's Energy-efficiency research program
- Academy of Finland
- Finnish Cultural Foundation
- Association for Promoting Technology
- Finnish Science Foundation for Economics and Technology, Modern Wooden Town Graduate School
- Doctoral Programme of the Built Environment
This paper presents a new methodology that takes a physical-statistical approach to dynamically model indoor air humidity and moisture transport in building structures. A new concept, structural dynamics moisture buffer capacity (SDMBC), is introduced that improves on the most commonly used moisture buffer measure. The paper proposes and experimentally proves several novel hypotheses regarding the linear relationship between model variables, great simplifying the derivation of the model equations. The resulting dynamic model is simple, efficient, and easy-to-implement. Furthermore, full-scale experiments using three identical wooden test houses were built to support the development of the dynamic model. Airflow rates were calibrated and verified by experiment. The results of this study establish the practicality of this new modeling methodology which can aid researchers in constructing improved simulation models and designers in selecting building materials to optimize indoor humidity, minimize energy consumption, and provide good indoor environmental quality.
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