AI powered decarbonisation technology for the cement production

Carbon Re’s AI-powered solution is specifically designed for the cement pyroprocess. By utilising the latest advances in machine learning, it identifies energy inefficiencies, cuts costs and reduces carbon emissions.

 

00%

reduction in 
fuel-derived emission

0-0 Kcal/kg

reduction

00%

reduction in C3S variability

$00M+

annual savings
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Save operational costs

 

Optimise fuel consumption and reduce specific heat consumption to protect plants from rising fuel costs, a volatile alternative fuels market, and low margins.

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Increase efficiency

 

Effectively control the quantity of C3S and free lime per tonne of clinker. Alert teams to potential blockages and minimise the impact of unplanned shutdowns.

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Reduce emissions

 

Reduce fuel-derived emissions and increase thermal substitution to achieve sustainability goals and avoid carbon taxes.

Working with Industry Leaders

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Enhance your APC with AI

Carbon Re
How it works

 

Using historical data, Carbon Re models the bounds of optimal performance to tailor its predictions and recommendations to provide optimal operating conditions based on real-time information.

 

These predictions and recommendations are integrated into a plant’s advanced process control systems in closed loop, optimising the pyroprocess without intervention from the control room operator.

 

Carbon Re’s models are continually retrained to match actual plant performance, negating the challenge of model drift.

Savings Calculator

The image below demonstrates the savings a typical plant can make with Carbon Re. Click here to receive a customised calculation of your plant’s potential savings.

Typical Plant Savings
  • Clinker capacity
    2,000,000
    tonnes/year
    Specific heat consumption
    847
    kcal/kg
    Current fuel cost
    0.025
    $USD/Mcal
    Assumed carbon emissions price (internal or tax)
    30
    $USD/tCO2e
    Kiln operation
    • Human operator
    • Expert system

The future is here

Carbon Re is built on cutting-edge systems architecture and machine learning frameworks tailored specifically for the cement industry.

 

Leveraging cloud-based storage databases, Carbon Re manages large and complex datasets. Our team conducts pioneering machine learning research, adhering to the highest levels of scientific rigour.