Modelled Block-Level Energy Consumption Projection for Melbourne 2016

City of Melbourne Open Data provides modelled energy consumption data for the municipality at a block level. The dataset is a 2016 business-as-usual projection based on building attributes like age and floor area, covering both commercial and residential sectors relative to a 2011 baseline.

Use Cases

• Analyze projected energy consumption patterns across building age and floor area attributes for urban planning
• Model energy efficiency scenarios by comparing 2016 projections against the 2011 baseline for commercial and residential blocks
• Integrate block-level consumption data with spatial files (SHP, GEOJSON) for geographic information system mapping of energy use

Strengths

• Data is modelled from specific building attributes such as age and floor area, providing a structured basis for analysis
• Covers both commercial and residential building sectors within the City of Melbourne municipality
• Projection is temporally anchored to a defined 2011 baseline and a 2016 business-as-usual scenario

Limitations

• Data is a modelled projection, not actual metered consumption, which may differ from real-world usage
• Excludes the industrial sector, limiting analysis of total municipal energy footprint
• Specific sample size, row count, and column definitions are unknown, affecting reproducibility

Provenance

Source

City of Melbourne Open Data, with data provided by CSIRO from a study commissioned by IMAP Councils.

Collection Method

Modelled based on building attributes, not metered data, as a result of a grant agreement study.

Time Range

2016 projection relative to a 2011 baseline.

Freshness

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Geography

City of Melbourne municipality, Australia.