Calculate Embedded Emissions for Unwrought Aluminium (HS7601)

Enter your input

Payable emissions (tCO₂e/t)

Total CBAM Cost (€)

Notes:
There may be a difference when calculating the price with respect to import volume, carbon price, and benchmark emissions, as the embedded formula may result in minor variations due to decimal rounding. Therefore, the actual value may vary.

CBAM is applicable to trade volumes starting from 50 metric tonnes. For trade volumes below 50 metric tonnes, CBAM does not apply.

Usage Procedure – How to use the CBAM Calculator Sheet

Enter or update values only in the INPUT
PARAMETERS section (Highlighted in blue) , including
the carbon price, benchmark emissions, CBAM
chargeable percentage (as per the phase-in year),
and imported quantity.

The system will automatically calculate the payable
emissions and the total CBAM cost (€) based on the
inputs provided.

Notes:
• Change any input value to automatically update CBAM cost.
• Formula used: Carbon price × payable emissions × quantity.
• Model aligned with CBAM supplier-side illustrative methodology.

03 MARCH 2026 THE METAL PACKAGER

AI in canmaking: A tool to increase production performance

10MINS READ

Metal can packaging

Artificial Intelligence has reached a maturity level that allows it to generate real analysis and measurable gains in industrial operations. Yet, within the canmaking industry, its adoption remains slow, often due to a combination of cultural resistance, limited digital infrastructure, and the misconception that AI is a futuristic tool rather than an operational necessity. For an industry that operates at extremely high speeds and tight tolerances, AI is no longer optional, it is the next competitive edge.

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In this article for The Metal Packager, Luiz Siqueira, an independent consultant in industrial management, who previously worked as industrial director/COO at Brasilata, explores how AI can effectively collaborate with the management of can production processes, transforming decision-making, reducing losses, improving overall equipment effectiveness (OEE), and making operations more stable and predictable.

Why AI is a natural fit for canmaking operations

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Last updated on : 03 MARCH 2026