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.

02 JULY 2024 AL CIRCLE

AI-driven productivity gains may vary widely across European sectors

EDITED BY : RUPANKAR MAJUMDER 4MINS READ

Artificial Intelligence (AI) is poised to make significant inroads across various European sectors, with smaller industries standing to benefit the most in the near term. While larger sectors may still need to be ready to implement AI fully, and some may never reach that point, the potential for productivity gains remains substantial, according to ING Think.

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ING suggests that the most immediate advantages will be seen in smaller sectors, where AI can be more easily integrated, and its impact is felt more quickly. These industries are likely to experience notable improvements in efficiency and innovation.

On the other hand, larger sectors face more significant challenges in adopting AI technologies. The complexity and scale of these industries can hinder swift implementation, leading to slower progress. However, the potential for substantial productivity gains in these sectors should give hope for the future of AI, with an expected average increase of around one percentage point per year.

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