AI in Cement
Cement is one of the most energy- and carbon-intensive industries on earth, dominated by the rotary kiln and its preheater tower. Reliability of crushers, fans, kilns and mills is critical, and waste-heat recovery from kiln exhaust is a major efficiency and decarbonization lever.
Cement production is a leading source of industrial CO2 emissions globally, with the bulk arising from kiln process heat and the calcination of limestone. — Source: IEA — Cement
Where AI and efficiency pay off
- Kiln and mill predictive maintenance — Condition monitoring on kiln drives, mills and large fans to avoid catastrophic stoppages.
- Process optimization — Stabilising kiln operation to cut fuel use and emissions per tonne of clinker.
- Waste-heat recovery — Capturing kiln and cooler exhaust heat for power or process use.
- Energy management — Plant-wide electrical and thermal energy monitoring.
Energy-intensive equipment in cement
- Rotary kilns and preheater towers
- Raw and cement mills
- Large process and ID fans
- Crushers and conveyors
- Clinker coolers
Guides for cement
Waste heat recovery in industry
Where industrial waste heat hides, the technologies that capture it, and how to judge whether recovery pays at your site.
Predictive maintenance: a practical guide
What predictive maintenance is, how it differs from preventive maintenance, which techniques fit which assets, and how to start without boiling the ocean.
Factory decarbonization: a practical roadmap
A sequenced, no-regrets roadmap for cutting industrial emissions — efficiency first, then electrification and fuel switching, then the hard residual.
Heat exchanger fouling: causes and prevention
Why exchangers foul, what it costs in energy and throughput, and how to predict and manage cleaning instead of reacting to it.
Software for cement
AVEVA Predictive Analytics
Early-warning analytics for critical process and power assets.
IBM Maximo Application Suite
Enterprise asset management with built-in monitoring and AI.
Siemens Senseye Predictive Maintenance
Scalable predictive maintenance that learns from existing condition data.
Schneider EcoStruxure
IoT platform for energy and plant resource management.