Robert Meyer

How Machine Learning can accelerate low carbon concrete adoption


Thursday, Jun 2, 2022


10:20 am



Cement is responsible for 8% of worldwide CO2 emissions. Fortunately, the footprint can be reduced by 60% if burnt limestone, the main ingredient, is replaced partly by limestone powder. However, such low-carbon recipes react much more sensitive to changes in the chemical and mineralogical composition, limiting reliable production to laboratory conditions.

Alcemy is changing this. Robert presents a Machine Learning control and data analytics case study to optimize production processes of multiple plants such that low-carbon cement and concrete can be manufactured in real plants and at scale.

Ready to attend?

Register now! Join your peers.

Register nowView Agenda
Newsletter Knowledge is everything! Sign up for our newsletter to receive:
  • 10% off your first ticket!
  • insights, interviews, tips, news, and much more about Predictive Analytics World for Climate
  • price break reminders