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Data - Modelling Sectoral Technology and Emissions Pathways to 2035 and Net Zero

Created 20/09/2025

Updated 20/09/2025

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Data and charts for figures of CSIRO's 'Modelling Sectoral Technology and Emissions Pathways to 2035 and Net Zero Emissions - Final Report' To assist the Australian Government in developing a national net zero emissions by 2050 plan, the parliament requested that the Climate Change Authority undertake a review of the potential technology transition and emissions pathways in six sectors – electricity and energy, industry and resources, transport, land and agriculture, waste, and the built environment. The six modelling scenarios analysed in this report were designed by the authority in consultation with CSIRO. The modelling undertaken by CSIRO examined six scenarios reflecting four levels of domestic decarbonisation ambition (A50, A45, A40, A35) with net-zero years ranging from 2050 to 2035, each with a corresponding level of emissions in 2035 as indicated in Table 1. The domestic scenarios were modelled under different global climate ambition settings of 2°C and 1.5°C (G2 and G1.5) to explore the macroeconomic, sectoral and environmental impact for Australia with different combinations of domestic and global ambition. Two additional sensitivity scenarios were modelled to investigate the impact of lower renewable uptake and are implemented as an upper limit (the “+RL” or “+Renewable Limit” scenarios).

Files and APIs

Additional Info

Field Value
Title Data - Modelling Sectoral Technology and Emissions Pathways to 2035 and Net Zero
Language English
Licence Not Specified
Landing Page https://data.gov.au/data/dataset/1a5e4b74-7ce8-5163-9b86-0744082735c0
Contact Point
CSIRO Data Access Portal
CSIROEnquiries@csiro.au
Reference Period 01/01/2000
Geospatial Coverage Australia
Data Portal CSIRO DAP

Data Source

This dataset was originally found on CSIRO DAP "Data - Modelling Sectoral Technology and Emissions Pathways to 2035 and Net Zero". Please visit the source to access the original metadata of the dataset:
https://data.csiro.au/collection/csiro:66643