Real-time carbon emissions intensity of the National Electricity Market (API Access)

This data set consists of estimates of the carbon emissions intensity of grid-consumed energy for the five regions of the National Electricity Market updated at five-minute intervals. Estimates are calculated using an energy balance model combined with publicly available generator SCADA data, interconnector power flows/losses and regional demand data sourced from the market operator. Generator carbon emissions intensity factors include Scope 1 and Scope 3 emissions (and 2 for semi-scheduled generators only).
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Electricity generation contributes significantly to Australia’s national greenhouse gas emissions. Understanding the changing nature of grid emissions intensity, the quantity of emissions per unit of grid electricity consumed, is important for developing effective emission reduction strategies. This understanding supports moving beyond net-zero targets towards 24/7 zero emissions.

This data-set provides near-real-time consumption-based estimates of emissions intensity for the 5 regions of the National Electricity Market (NEM). The method applies a matrix-based flow tracing algorithm to trace electricity flows from the point of generation to the point of consumption. Primary outputs are the estimated emissions intensity from grid consumed electricity at five-minute intervals for each region.

Input data is sourced from the market operator. This includes real-time generator supervisory control and data acquisition (SCADA) data, rooftop solar generation estimates, interconnector flows and associated losses, regional electricity demand, and regional rooftop pv generation data.

Generator-specific carbon intensity factors incorporate Scope 1 and Scope 3 emissions (and Scope 2 emissions for semi-scheduled generators only). These factors automatically update over time which enables ongoing improvements in the emissions intensity of specific generators to be captured in addition to the overall effect of generator closures and new generators coming online. Details of the modelling approach can be provided on request.

Disclaimer

CSIRO disclaim all warranties as to the accuracy of the data in this dataset or the acceptable performance or fitness of the data for any particular purpose.

Documentation

API Guide

Table 1 Overview of the emissions intensity model

Model type

Consumption-based

Transmission losses

Included within the flow-tracing approach as per the market operator’s guideline.

Region import/export

Included

Rooftop solar

Included

Emissions factors

Dynamic generator-fuel specific sourced from AEMO’s CDEII (updated monthly) and revised with the IPCC report for semi-scheduled generators.

Scope 1 & 3 (and 2 for semi-scheduled generators only)

Resolution

5-minute resolution time-series

Regions

NSW, QLD, SA, VIC, TAS

Units

g CO2 / kWh

Exceptions

  • When handling generation data not linked to a specific generator, the framework assigns an emissions factor equal to the generation-weighted average emissions factor of all other generation within the same region. In other words, unmatched generation is assumed to have the same emissions intensity as the regional average.