Abstract
Moisture excess or lack in buildings has many adverse effects on human health, structural durability and building energy consumption, and moisture design for building materials is an important and efficient measurement for creating a stable indoor climate. However, the current quick test method (e.g., moisture buffer value test) can only evaluate the materials' moisture buffering abilities roughly, and the advanced numerical prediction method (e.g., using HAM models) is hardly applicable in practices due to insufficient materials’ hygrothermal properties and its long computing time. EMPD model can calculate with less input parameters and short time without sacrificing accuracy. While this paper found existing EMPD has limited application conditions, and further proposed modified multilayer EMPD model. A new approach can be applied to identify and predict the moisture performances of building materials. In this paper, two typical building materials with diverse hygric properties were simulated. Their key parameters of the modified model was easily inversed by a 24h standard box test instead of several months of material hygrothermal properties tests, based on which, the materials' actual performances under various conditions can be predicted. The presented approach was validated by comparing the numerical predictions with HAM results in the corresponding conditions. This study provides an easy and fast way to test and predict the moisture performances of building materials and indoor moisture in practices.
Highlights
Interior humidity, as an essential factor of indoor environment, has substantial influences on human comfort [1, 2] and health [3, 4], component durability [5] and building energy [6]
The Moisture Buffering Value (MBV) test method proposed by the Nordtest project [7] is an optional method
It is operated under the standard condition of square-wave relative humidity (RH) change, and the moisture ad/desorption performances of the test materials are estimated by the derived MBV and the real RH conditions
Summary
As an essential factor of indoor environment, has substantial influences on human comfort [1, 2] and health [3, 4], component durability [5] and building energy [6]. The Moisture Buffering Value (MBV) test method proposed by the Nordtest project [7] is an optional method It is operated under the standard condition of square-wave relative humidity (RH) change, and the moisture ad/desorption performances of the test materials are estimated by the derived MBV and the real RH conditions. It assumes that the mass of moisture buffering of the materials is in equilibrium with the room humidity, which can cause fail prediction of the exact course of the indoor RH-variations in reality [8]. There are three well-known models predicting moisture performances of materials and buildings: The Effective Capacitance (EC) model, the Heat, Air and Moisture Transfer (HAM) model, and the Effective
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