Carbon Re

Carbon Re - AI powered decarbonisation for cement

Focusing on the critical pre-heater and kiln process stages of cement production, Carbon Re optimises fuel use to reduce carbon emissions.

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AI powered decarbonisation technology for 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.

 

Heidelberg Materials improves performance by integrating Carbon Re’s AI on top of ABB Ability Expert Optimizer
Case Study Solutions
Solutions

00%

reduction in
fuel-derived emissions

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.

Use Case
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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.

Use Case

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.

Book a call AI for decarbonisation

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
Target Savings

Calculate Your Savings

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.

How AI is helping cement plant operators reduce energy consumption and carbon emissions
Learn more
iStock-1442909982-min
Article How can AI help kiln combustion?
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Case Study Heidelberg Materials Mokra Plant

Read the research behind our technology
Resources
View all resources
07.10.2024
Heidelberg Materials improves performance by integrating Carbon Re’s AI on top of ABB Ability Expert Optimizer
Case Study
02.02.2023
Three technologies to reduce climate change
Whitepaper
21.04.2023
On site insight crucial when building AI models
Perspectives
01.06.2016
Potential reduction of carbon emissions by performance improvement
Technical Papers
07.04.2022
How AI is helping cement plant operators reduce energy consumption and carbon emissions
Whitepaper

Start saving 5% of your fuel bill and carbon emissions today.

With no shutdown, no extra hardware or local IT systems needed to deploy Carbon Re, contact us today to start getting the benefits, now.

Request a Demo
Book a Demo Heidelberg Materials improves performance by integrating Carbon Re’s AI on top of ABB Ability Expert Optimizer
Case study
Resource-perspective-9-How-AI-leads-optimization
Whitepaper: How AI is helping cement operators
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Download: Maximise alternative fuels with AI