Conference paper
Digitalization, Control and Optimization for Cement Plants
Department of Applied Mathematics and Computer Science, Technical University of Denmark1
Scientific Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark2
Center for Energy Resources Engineering, Centers, Technical University of Denmark3
Centre for oil and gas – DTU, Technical University of Denmark4
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.
Language: | English |
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Year: | 2021 |
Pages: | 1319-1324 |
Proceedings: | 31<sup>st</sup> European Symposium on Computer Aided Process Engineering |
ISSN: | 15707946 |
Types: | Conference paper |
DOI: | 10.1016/B978-0-323-88506-5.50203-5 |
ORCIDs: | Zhang, Zhanhao , Hørsholt, Steen and Jørgensen, John B. |