Interstitial condensation risk assessment
A three-dimensional steady-state tool
Presented on
October 9, 2024
at Facade Tectonics 2024 World Congress
Presented on
October 9, 2024
at Facade Tectonics 2024 World Congress
Presented on
October 9, 2024
at Facade Tectonics 2024 World Congress
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Overview
Abstract
The development of methods to predict and control moisture accumulation in building envelopes has always been a key element in building science. Today’s existing hygrothermal engineering tools range from simple 1D steady-state heat and vapour transport models (widely known as the GLASER method) up to fully-coupled 2D and even 3D transient Heat Air and Moisture models. There is of course a trade-off between ease-of-use and accuracy. When hygric inertia, air transport or 2D/3D effects play a major role, predictions based on the 1D Glaser method (as standardised in EN ISO 13788) drift aways from reality. To obtain more realistic results, one should move to more advanced hygrothermal models considering the mentioned effects. When correctly used, advanced hygrothermal simulation result in highly detailed results. However, these advanced hygrothermal models often are considered too complex for day-to-day engineering work in the early design stage.
To fill this gap, the present article presents a practical 3D heat and vapour model to estimate the risk for interstitial condensation in building enclosures. The model is in fact a three-dimensional implementation of the Glaser method, including the calculation of moisture accumulation and drying in consecutive monthly periods.
The first part of this article outlines the modelling assumptions and solution technique. Thereafter, the model is validated against a 2D example from the literature and the 1D example from EN ISO 13788.
The article ends with an actual case whereby the applicability of the model is demonstrated by making design decisions for the energy-efficient retrofit of a curtain wall system.
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Paper content
1. Introduction
Damage caused by moisture is a significant factor contributing to the degradation and diminished thermal performance of building components. Consequently, the development of tools to forecast and manage
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