Predictive weather files for building energy modelling

These data sets consist of 960 text files. The files contain hourly weather data for 80 Australian locations under 3 future climate scenarios (RCP2.6, RCP4.5, or RCP8.5) and for 4 future years (2030, 2050, 2070, and 2090).

The data are available in the following two formats:
1. In .epw format that can be directly loaded into tools such as EnergyPlus.
2. In the NatHERS weather file format.

The dataset ‘Predictive weather files' is comprised of 960 text files in a single archive. Each file contains one year of weather data in hourly intervals.

Each file contains weather data for one of 80 Australian locations, under one of 3 future climate scenarios (RCP2.6, RCP4.5, or RCP8.5), for one of 4 future years (2030, 2050, 2070, or 2090). The RCP climate projections reflect a range of possible climate futures with varying levels of anthropogenic GHG emissions, atmospheric greenhouse gas concentrations, and the resultant radiative forcing. For RCP2.6 atmospheric GHG concentration peaks around 2030 and then declines in line with severe emission reduction measures. For RCP4.5 GHG emissions peak in 2060, while RCP8.5 reflects a future with little curbing of GHG emissions.

The predictive weather data is based on a typical meteorological year of weather data drawn from 26 years of historical weather data from 1990 to 2015. Global Climate Models were applied to this data to predict the future values under each climate scenario.

The data is provided in two text based file formats:

  1. As .epw files which are suitable for loading into building simulations using software such as EnergyPlus, ESP-r and IESVE.
  2. As NatHERS native format, which are suitable for loading into building simulations using NatHERS software such as AccuRate, BERSPro, FirstRate5, and HERO.

Further details about this dataset are available in the Predictive Weather Files User Guide.

Predictive weather files for building energy modelling in EnergyPlus (.epw) format

$0.00

Predictive weather files for building energy modelling in NatHERS format

$0.00