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Block level energy consumption (modelled on building attributes) - 2026 projection - business-as-usual scenario

Created 05/05/2025

Updated 05/05/2025

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This dataset should be read alongside other energy consumption datasets on the City of Melbourne open data platform as well as the following report:

http://imap.vic.gov.au/uploads/Meeting%20Agendas/2014%20August/Att%207a_IMAP_Energy_Map_-CSIRO-Energy_Use_2011-2026_Report-2014June30-Final_pdf_11.2MB.pdf

The dataset outlines modelled energy consumption across the City of Melbourne municipality. It is not energy consumption data captured by a meter, but modelled data based on building attributes such as building age, floor area etc. This data was provided by the CSIRO as a result of a study commissioned by IMAP Councils. The study was governed by a Grant Agreement between Councils and the CSIRO, which stated an intent for the data to be published. This specific dataset is presented at a block level scale. It includes both commercial and residential buildings and is a 2026 business-as-usual projection, relative to a 2011 baseline. It does not include the industrial sector.

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Additional Info

Field Value
Title Block level energy consumption (modelled on building attributes) - 2026 projection - business-as-usual scenario
Language English
Licence Other (Open)
Landing Page https://devweb.dga.links.com.au/data/dataset/0f78afd2-449a-4345-bb9e-fc644e3667ea
Remote Last Updated 13/06/2024
Contact Point
City of Melbourne
test@email.loc
Reference Period 27/03/2017
Geospatial Coverage http://www.ga.gov.au/place-names/PlaceDetails.jsp?submit1=GA7
Data Portal data.gov.au

Data Source

This dataset was originally found on Victoria Government "Block level energy consumption (modelled on building attributes) - 2026 projection - business-as-usual scenario". Please visit the source to access the original metadata of the dataset:
https://discover.data.vic.gov.au/dataset/block-level-energy-consumption-modelled-on-building-attributes-2026-projection-business-as-usua

Original dataset
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No duplicate datasets found.