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AI-Powered CO2 Capture Performance and Cost Prediction

Accountable
Natural Resources Canada (NRCan)
Functional Modes
Deciding (Analytical AI)
Human decides
Purpose
Energy Efficiency
Input Dataset
Operational data Anonymized data
Algorithm or Model
Classification & Prediction
Output Dataset
A recommendation or prediction Anonymized data

This tool uses machine learning to predict the performance, cost, and environmental impact of carbon dioxide capture technologies as part of Canada's Carbon Capture, Utilization, and Storage (CCUS) assessment framework. It processes process simulation, costing, and life cycle assessment data generated by Natural Resources Canada to help government employees evaluate CCUS options. The system is used internally by federal employees and is not disclosed to the public as an AI system. There is no direct impact on individual citizens — outputs inform policy and technology planning.

Sources for this disclosure

This disclosure was drafted with AI assistance.

Schema: ai@2026-05-06-beta

Government of Canada – DTPR AI Register