Digitalization, Control and Optimization for Cement Plants

Zhanhao Zhang, Marcus K. Nielsen, Steen Hørsholt, Guruprasath Muralidharan, John B. Jørgensen

Research output: Contribution to journalConference articleResearchpeer-review

Abstract

In this paper, we present digitalization, control and optimization for entire cement plants based on model predictive control (MPC) technologies. We provide an overview of the employed MPC technologies and report statistics from several industrial implementations. This demonstrates that MPC technology can simultaneously increase the production by 5-10%, reduce the fuel consumption for the cement kiln by 2-4%, reduce the power consumption by 3-8%, and significantly improve the consistency and uniformity of the final cement powder. The cement production industry contributes approximately 8% of the global CO2 emissions. We outline oxy fuel combustion and carbon capture technologies for cement plants operated along with water electrolysis plants and other power-2-X facilities. These technologies can decarbonize the cement production completely and rely on MPC technologies for their coordinated and optimized operation.
Original languageEnglish
Book seriesComputer Aided Chemical Engineering
Volume50
Pages (from-to)1319-1324
ISSN1570-7946
DOIs
Publication statusPublished - 2021
Event31st European Symposium on Computer Aided Process Engineering - Istanbul, Turkey
Duration: 6 Jun 20219 Jun 2021

Conference

Conference31st European Symposium on Computer Aided Process Engineering
Country/TerritoryTurkey
CityIstanbul
Period06/06/202109/06/2021

Keywords

  • Cement plants
  • CO2 capture
  • Model Predictive Control
  • Power-2-X

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