The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/19730950

Brambilla, Arianna; Javed, Haniya; Strang, Marcus (2022): Data underlying the publication: ‘An Australian climate-based characterization of hygrothermal risks for buildings’. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/19730950.v2

Dataset

x choose version: version 1 - 2022-05-10

• Building
• Architecture

Australia, drying index, hygrothermal, moisture index, moisture reference year (MRY), MRY, wetting index, wind-driven rain, WUFI

1991-2020

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Arianna Brambilla , Haniya Javed, Marcus Strang

This dataset contains two different types of data that can be employed for transient hygrothermal analysis: MRYs for 30 locations across Australia completed with the climatic data necessary to generate the file, and 10 consecutive years of hourly climate parameters for Brisbane, Cairns, Melbourne, Darwin, Hobart, Sydney, and Canberra cities, representing those locations where most of the population live. These two types of data provide the input for hygrothermal assessment as defined by the ASHRAE 160-2016

• 2022-05-10 first online, published, posted

4TU.ResearchData

excel, WAC

An Australian climate-based characterization of hygrothermal risks for buildings

• https://doi.org/10.1016/j.enbuild.2022.112086

The University of Sydney, School of Architecture, Design and Planning
The University of Queensland, School of Architecture
Northrop Consulting Engineers