Automated carbon inventory
We have developed the most effective algorithms to automate the calculation of a territory’s greenhouse gas emissions. This automated carbon inventory processes all open-access databases describing the area to function.
Know the emissions of a region as well as those of a neighbourhood.
Our data is available at all administrative levels. They allow for the comparison of changes in emissions from one area to another, using the same methodology.
Calculating CO2 emissions scales
How accurate is our data?
Our carbon inventory is spatialised at a resolution of 10m x 10m across the entire French territory. It is also made dynamic in order to estimate changes in emissions hour by hour.
This makes it possible to model the quantity of greenhouse gases emitted into the atmosphere every hour, at every point in the territory covered.
Are described in our french inventories :
A certified methodology
Our inventory methodology is based on the recommendations of the Pôle National de Coordination des Inventaires Territoriaux (PCIT) and the SECTEN methodological report from the CITEPA.
Our priority is to guarantee the validity of our data.
Comparison of CITEPA & Origins.earth data
A control and calibration phase is systematically applied using national reference data supplied by the CITEPA.
Comparison of the CITEPA and Origins.earth inventories in tCO2FF, spatialised at the commune level, 2021
Statistical distribution of the bias between the data from the two spatial inventories (in tCO2FF)
Comparison of AASQA & Origins.earth data
At the regional level, the data produced by the dynamic inventories are validated by comparison with the emissions inventories produced by the Associations Agrées à la Surveillance de la Qualité de l’Air (AASQA).
Comparison of the AASQAs and Origins.earth inventories in tCO2FF, spatialised at the commune level, 2021
Statistical distribution of the bias between the data from the two spatial inventories (in tCO2FF)
Validation of our dataset with the AASQA and CITEPA.
Among other confirmations of the quality of the product, this validation showed that our dataset is consistent with the spatializations carried out by the AASQA and CITEPA.
We validated our spatialised inventory by comparing it with eight pre-existing inventories. We were able to make this pair-by-pair comparison thanks to the very fine spatial, temporal and sectoral resolution, which allowed us to aggregate our data in such a way as to make it comparable with each of the other inventories.
Processing and databases
80 open-data databases describing the territory’s activities
The inventory data is produced by an automated processing chain taking data from more than 80 open-data databases describing the activities of the territory.
It is possible to implement any complementary data source in the technological chain.
Features by modules
More than 800 modules to structure, calculate and export
Our teams have developed more than 800 code modules to create this automated inventory. These modules enable:
- Structure raw data in consistent, readable formats, which are essential for consistent calculations
- Calculate emissions in accordance with conventional methodologies and by applying the emission factors in the Ominea database for each of the emission sectors in the SNAP3 classification.
- Export and format emissions data for operational use using our business software (MétéoCarbone, VisionCarbone)
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