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Modeling Enclosure Design in Above-Grade Walls

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This report describes the modeling of typical wall assemblies that have performed well historically in various climate zones. The WUFI (Warme und Feuchte instationar) software (Version 5.3) model was used. A library of input data and results are provided. The provided information can be generalized for application to a broad population of houses, within the limits of existing experience. The WUFI software model was calibrated or tuned using wall assemblies with historically successful performance. The primary performance criteria or failure criteria establishing historic performance was moisture content of the exterior sheathing. The primary tuning parameters (simulation inputs) were airflow and specifying appropriate material properties. Rational hygric loads were established based on experience - specifically rain wetting and interior moisture (RH levels). The tuning parameters were limited or bounded by published data or experience. The WUFI templates provided with this report supply useful information resources to new or less-experienced users. The files present various custom settings that will help avoid results that will require overly conservative enclosure assemblies. Overall, better material data, consistent initial assumptions, and consistent inputs among practitioners will improve the quality of WUFI modeling, and improve the level of sophistication in the field.

Citation Formats

Building Science Corporation. (2017). Modeling Enclosure Design in Above-Grade Walls [data set]. Retrieved from https://data.openei.org/submissions/5138.
Export Citation to RIS
Ueno, Kohta, Lstiburek, Joeseph, and Musunuru, Sravanthi. Modeling Enclosure Design in Above-Grade Walls. United States: N.p., 15 Mar, 2017. Web. https://data.openei.org/submissions/5138.
Ueno, Kohta, Lstiburek, Joeseph, & Musunuru, Sravanthi. Modeling Enclosure Design in Above-Grade Walls. United States. https://data.openei.org/submissions/5138
Ueno, Kohta, Lstiburek, Joeseph, and Musunuru, Sravanthi. 2017. "Modeling Enclosure Design in Above-Grade Walls". United States. https://data.openei.org/submissions/5138.
@div{oedi_5138, title = {Modeling Enclosure Design in Above-Grade Walls}, author = {Ueno, Kohta, Lstiburek, Joeseph, and Musunuru, Sravanthi.}, abstractNote = {This report describes the modeling of typical wall assemblies that have performed well historically in various climate zones. The WUFI (Warme und Feuchte instationar) software (Version 5.3) model was used. A library of input data and results are provided. The provided information can be generalized for application to a broad population of houses, within the limits of existing experience. The WUFI software model was calibrated or tuned using wall assemblies with historically successful performance. The primary performance criteria or failure criteria establishing historic performance was moisture content of the exterior sheathing. The primary tuning parameters (simulation inputs) were airflow and specifying appropriate material properties. Rational hygric loads were established based on experience - specifically rain wetting and interior moisture (RH levels). The tuning parameters were limited or bounded by published data or experience. The WUFI templates provided with this report supply useful information resources to new or less-experienced users. The files present various custom settings that will help avoid results that will require overly conservative enclosure assemblies. Overall, better material data, consistent initial assumptions, and consistent inputs among practitioners will improve the quality of WUFI modeling, and improve the level of sophistication in the field.}, doi = {}, url = {https://data.openei.org/submissions/5138}, journal = {}, number = , volume = , place = {United States}, year = {2017}, month = {03}}

Details

Data from Mar 15, 2017

Last updated Jun 29, 2023

Submitted Mar 15, 2017

Organization

Building Science Corporation

Contact

Kohta Ueno

Authors

Kohta Ueno

Building Science Corporation

Joeseph Lstiburek

Building Science Corporation

Sravanthi Musunuru

Building Science Corporation

DOE Project Details

Project Name Building America

Project Number 1.9.1.19

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