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.

13 OCTOBER 2022 AL CIRCLE

AFRY helps Hydro Extrusion Sweden reduce climate footprint of aluminium production using AI

EDITED BY : SARNALI CHAKRABORTY 2MINS READ

AFRY, a pioneer in engineering, design, and advising services in Europe, has decided to help reduce the climate footprint of aluminium production for Hydro Extrusion Sweden by using Artificial Intelligence (AI). The goal of using artificial intelligence to evaluate production data is to decrease waste, improve quality, and, most importantly, minimize the environmental impact.

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For Hydro to receive AI-supported process insights, AFRY has examined old and new production data. Sustainable production targets may be more swiftly attained thanks to AI's role in process optimization.

"AI gives us the ability to support our manufacturing process by recommending production settings for specific products in advance, to minimize cassation. Had Hydro had the insight we now have, thanks to this project, we would have started this work much earlier”, said Jonas Bjuhr, CEO of Hydro.

AFRY helps Hydro Extrusion Sweden reduce climate footprint of aluminium production using AI

The project is moving on to the next stage, which involves optimising the process parameters. This will result in less material, better quality, a more effective process, cheaper manufacturing costs, and a smaller environmental impact.

“We are on our way to getting a unique recipe that shows how all parameters should be optimally set for each unique product to be as good as possible”, said Mats Borneling, AI project manager at Hydro Extrusion Sweden AB.

AI and industrial IoT are effective instruments for boosting the manufacturing sector's competitiveness. In the continuing initiative, which began in 2021, AFRY helps Hydro use AI to analyse production data. The objective is to develop a more automated production where choices are made based on data with the aid of AI. Customers may improve their manufacturing processes to achieve sustainability goals more swiftly by using AI in the heavy industries sector.

“At AFRY, we have specialized in pursuing digitalization and AI projects because it is one of the solutions to a more sustainable future in all sectors of society. The project has delivered significant value and shown clear future potential", said Lukas Karlsson, Data Scientist and Technical Lead of the project at AFRY.

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