Brambilla Arianna, Javed Haniya, Strang Marcus
School of Architecture, Design, and Planning, The University of Sydney, G04 Wilkinson Building, Camperdown, NSW 2006, Australia.
Northrop Consulting Engineers, Australia.
Data Brief. 2022 May 18;42:108291. doi: 10.1016/j.dib.2022.108291. eCollection 2022 Jun.
Transient hygrothermal assessments rely on the definition of external climatic conditions, usually collected in a moisture reference year (MRY) file. Currently, hygrothermal climate files for Australia are not available, leaving researchers and practitioners to either use typical meteorological years (TMY) files, generated for thermal analysis, or other propriety datasets that are not unified, standardized or shared, hence hindering reproducibility of studies and comparative analysis. This dataset provides a comprehensive suite of climatic files ready to be used in hygrothermal simulations, as well as general climate data that could serve as a basis for further analysis. The dataset can be used to create a hygrothermal map, as presented in Javed et al. (2022) or directly employed in building simulations. 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. Raw climate data were extracted from the Australian Bureau of Meteorology database and the NOAA's National Weather Service, National Oceanic and Atmospheric Administration database to generate a complete hourly dataset. Additionally, for the first type of data, 30 consecutive years of climate data have been analysed following the moisture index method by calculating the wetting and drying indices. The resulting yearly moisture indexes were ranked from highest to lowest and the MRY was selected as the 10th-percentile year, considered to be the most representative year for severe moisture stress on a building envelope.
瞬态湿热评估依赖于外部气候条件的定义，这些条件通常收集在湿度参考年（MRY）文件中。目前，澳大利亚没有可用的湿热气候文件，这使得研究人员和从业者要么使用为热分析生成的典型气象年（TMY）文件，要么使用其他未统一、标准化或共享的专有数据集，从而阻碍了研究的可重复性和比较分析。该数据集提供了一套全面的气候文件，可用于湿热模拟，以及可作为进一步分析基础的一般气候数据。该数据集可用于创建如贾韦德等人（2022年）所展示的湿热地图，或直接用于建筑模拟。该数据集包含两种可用于瞬态湿热分析的不同类型的数据：澳大利亚30个地点的MRY，并配有生成该文件所需的气候数据，以及布里斯班、凯恩斯、墨尔本、达尔文、霍巴特、悉尼和堪培拉等城市连续10年的每小时气候参数，这些城市代表了大部分人口居住的地点。这两种类型的数据为美国供暖、制冷与空调工程师协会（ASHRAE）160 - 2016所定义的湿热评估提供了输入。原始气候数据从澳大利亚气象局数据库和美国国家海洋和大气管理局（NOAA）的国家气象局数据库中提取，以生成完整的每小时数据集。此外，对于第一种类型的数据，按照湿度指数方法，通过计算湿润和干燥指数，对连续30年的气候数据进行了分析。将得到的年度湿度指数从最高到最低进行排序，MRY被选为第10百分位数年份，被认为是建筑围护结构严重湿度胁迫最具代表性的年份。
