Journal article
Examining the impact of stochastic multi-year weather and air infiltration on hygrothermal moisture risks
JOURNAL OF BUILDING PHYSICS, v 47(1)
Jul 2023
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The analysis of heat, air, and moisture (H.A.M.) transport for building envelopes are known to be highly dependent on climate loads and air infiltration rates. Moisture content within the assembly is often a key H.A.M. analysis outcome to assess risk and transport behavior. ASHRAE Standard 160-2016 states that building envelope H.A.M. analysis should be done using moisture design reference data or using a minimum of 10 consecutive years of weather. While there has been progress and methods for selecting or designing moisture reference years there has been a lack of study in the impact of multi-year (particularly 10-year) weather scenarios on simulation results in comparison to reference year simulations. This paper presents research using stochastic 1, 2, and 10-year weather data and air infiltration rates to study the range of simulated moisture content outcomes for four wall assemblies in Philadelphia and compares these to the outcomes when using reference years. Results from the study show that air infiltration, starting month, and multi-year duration have significant impacts on simulated moisture content, mold, and corrosion analysis results. Regression analysis using annual averages of climate input parameters did not yield useable models for selecting weather years, however an estimated mold index value using outdoor climate data may be useful in selecting weather years with varying starting months for mold growth assessment.
Metrics
Details
- Title
- Examining the impact of stochastic multi-year weather and air infiltration on hygrothermal moisture risks
- Publication Details
- JOURNAL OF BUILDING PHYSICS, v 47(1)
- Publisher
- SAGE PUBLICATIONS LTD; LONDON
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Drexel University
- Web of Science ID
- WOS:000972726900001
- Scopus ID
- 2-s2.0-85153492495
- Other Identifier
- 991021861311604721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Construction & Building Technology