Creating order from chaos: how AI can optimise alternative fuel use in cement production
The cement industry is under immense pressure to reduce its carbon footprint, and yet, the most widely adopted solution, alternative fuels, brings a host of challenges that complicate the cement production process.
A key challenge is that each cement plant operates under unique circumstances. Variables such as kiln design, fuel mix, and local waste availability make it impossible to apply a one-size-fits-all approach, and centralised strategies are complicated to design and implement.
Moreover, it’s not a one-time effort. The dynamic nature of fuel availability, composition, quality, and pricing requires flexible operational strategies and tailored solutions to optimise plant performance and cost-efficiency. Local production managers have to constantly adapt.
With AI integrated on top of a plant’s advanced process control (APC), plant teams are supported with data-driven insights to increase their thermal substitution rate and make strategic operational and procurement decisions to manage the highly volatile alternative fuel markets.
Drawing on the results of live plant integrations, this whitepaper explores how AI can mitigate the challenges of using alternative fuels in cement production, empower plants to increase their thermal substitution rates and what advancements in AI continue to transform and decarbonise cement plant operations.
Download the white paper to learn more.