From Melbourne Data
JSON RDF ISO19115-3 XML

Block level energy consumption (modelled on building attributes) - 2016 projection - retrofit scenario

Created 14/10/2024

Updated 14/10/2024

JSON RDF ISO19115-3 XML

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 2016 projection, relative to a 2011 baseline, based on a scenario of buildings being retrofitted. It does not include the industrial sector.

Files and APIs

Tags

Additional Info

Field Value
Title Block level energy consumption (modelled on building attributes) - 2016 projection - retrofit scenario
Language English
Licence Creative Commons Attribution 3.0 Australia
Landing Page https://devweb.dga.links.com.au/data/dataset/6fccbb42-6547-48eb-bef0-33822bebc7b3
Contact Point
Reference Period 26/02/2023
Geospatial Coverage {"type":"Point","coordinates":[0,0]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Block level energy consumption (modelled on building attributes) - 2016 projection - retrofit scenario". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/southern-grampians-block-level-energy-consumption-modelled-on-building-attributes-2016-projection-r

Original dataset
Dataset copies

No duplicate datasets found.