AI-Assisted Analysis of Industrial Furnace Simulations

Research & Development

What it collects

About a measurement

Anonymized data

Computational fluid dynamics (CFD) simulation outputs representing physical measurements of particle behaviour, fluid dynamics, temperature fields, and flow conditions inside electric arc furnaces. Data is generated synthetically by NRCan simulation software — no personal data is involved.

Government of Canada AI Register — 2526-NRCan-RNCan-012

Operational data

Anonymized data

Operational parameters from electric arc furnace simulations, including biomass carbon particle injection configurations, furnace geometry, and process conditions used as inputs to the CFD models. All data is generated by NRCan and contains no personal information.

Government of Canada AI Register — 2526-NRCan-RNCan-012

Run by: Natural Resources Canada (NRCan)
Where: No fixed location
Kept: Not stated by the Helpful Places.
Shared with: Accountable organization

What it is for

Research & Development

This AI system helps Natural Resources Canada researchers analyze complex computer simulations of electric arc furnaces used in steel production. It automatically uncovers hidden patterns in simulation data to understand how carbon particles behave inside the furnace, supporting research into reducing industrial carbon emissions. The system is used exclusively by government scientists — it does not directly affect members of the public, and users are not informed of AI use.

What it collects and what happens to it

Data taken in

About a measurement

Anonymized data

Computational fluid dynamics (CFD) simulation outputs representing physical measurements of particle behaviour, fluid dynamics, temperature fields, and flow conditions inside electric arc furnaces. Data is generated synthetically by NRCan simulation software — no personal data is involved.

Government of Canada AI Register — 2526-NRCan-RNCan-012

Operational data

Anonymized data

Operational parameters from electric arc furnace simulations, including biomass carbon particle injection configurations, furnace geometry, and process conditions used as inputs to the CFD models. All data is generated by NRCan and contains no personal information.

Government of Canada AI Register — 2526-NRCan-RNCan-012

Processing

Classification & Prediction

Machine learning models classify and predict patterns in CFD simulation data describing particle behaviour inside electric arc furnaces, enabling data-driven understanding that human interpretation of complex simulation outputs alone would likely miss.

Government of Canada AI Register — 2526-NRCan-RNCan-012

What it does

Deciding (Analytical AI)

Human decides

The AI analyzes simulation output data, predicts and classifies particle behaviour patterns inside electric arc furnaces, and surfaces insights that researchers then interpret and act upon. Human scientists make the research decisions informed by the AI's findings.

Government of Canada AI Register — 2526-NRCan-RNCan-012

Outputs

About a measurement

Anonymized data

Derived analytical outputs including classified particle behaviour patterns, predicted process metrics, and data-driven insights about carbon particle dynamics inside electric arc furnaces. Outputs are measurements and pattern summaries, not decisions about individuals.

Government of Canada AI Register — 2526-NRCan-RNCan-012

A recommendation or prediction

Anonymized data

Research insights and recommendations for industrial decarbonization — specifically, data-driven findings about how biomass-derived carbon particles behave under different furnace conditions, informing future simulation designs and emission-reduction strategies for steel production.

Government of Canada AI Register — 2526-NRCan-RNCan-012

Run by

Natural Resources Canada (NRCan)

Natural Resources Canada (NRCan) is the federal department that developed and operates this AI tool for post-processing computational fluid dynamics (CFD) simulation data as part of industrial decarbonization research.

Government of Canada AI Register — 2526-NRCan-RNCan-012

Built by

Government of Canada

The Government of Canada developed this AI system internally. No external vendor is identified in the register entry.

Government of Canada AI Register — 2526-NRCan-RNCan-012

Kept for

Not stated by the Helpful Places.

Shared with

Available to the accountable organization

Outputs and data are available to Natural Resources Canada (NRCan) research staff (GC employees). No indication of access by external parties or the public.

Government of Canada AI Register — 2526-NRCan-RNCan-012

Stored

Not stated by the Helpful Places.

How to read the colours

Can it identify you?

Anonymized data: Data about people with the link to who is broken. Stripped of identifiers, blurred, aggregated, or noised so this system can’t reasonably tie a record back to an individual.
Pseudonymous data: Each person’s data is tied to a token (hash, ID, template) that lets this system recognise the same person across events, but the token itself doesn’t reveal a name. Reidentification is possible with extra information.
Identifiable data: The data either contains a direct identifier (name, address, account name, recognisable face or voice, plate number) or carries a token this system uses to look up legal identity during processing.

Who completes the loop?

Human decides: This mode suggests; a person decides what to do next. The AI is always advisory — a human is in the loop on every decision. Example: a triage tool ranks cases for a clinician who chooses which to see first.
Human executes: This mode decides; a person carries out the result. Example: an optimizer plans the day’s trash-collection routes, and drivers run them.
Autonomous: This mode decides and acts on its own. No person reviews each decision or carries out the resulting action.

Definitions from the DTPR standard. Amber is about your data, violet about who decides. The fuller the shape and the deeper the colour, the more identifying the data or the less a person is involved.

What you can do

Ask about this system

Questions go to the Helpful Places, not the vendor.

Your rights

The Helpful Places has not listed specific rights for this system.

Risks and safeguards

No risks or safeguards have been published for this system yet.