AI in Process Industries - Current Status and Future Prospects

被引:3
|
作者
Bortz, Michael [1 ]
Dadhe, Kai [2 ]
Engell, Sebastian [3 ]
Gepert, Vanessa [4 ]
Kockmann, Norbert [5 ]
Mueller-Pfefferkorn, Ralph [6 ]
Schindler, Thorsten [7 ]
Urbas, Leon [8 ,9 ]
机构
[1] Fraunhofer Inst Ind Math ITWM, Fraunhofer Pl 1, D-67663 Kaiserslautern, Germany
[2] Evonik Operat GmbH, Paul Baumann Str 1, D-45772 Marl, Germany
[3] TU Dortmund Univ, Dept Biochem & Chem Engn, Lab Syst Dynam & Proc Control, Emil Figge Str 70, D-44227 Dortmund, Germany
[4] Air Liquide Forsch & Entwicklung GmbH, Gwinnerstr 27-33, D-60388 Frankfurt, Germany
[5] TU Dortmund Univ, Dept Biochem & Chem Engn, Lab Equipment Design, Emil Figge Str 68, D-44227 Dortmund, Germany
[6] Tech Univ Dresden, Ctr Informat Serv & High Performance Comp, D-01062 Dresden, Germany
[7] ABB AG Corp Res Ctr Germany, Wallstadter Str 59, D-68526 Ladenburg, Germany
[8] Tech Univ Dresden, Sch Engn, Chair Proc Control Syst, Helmholtzstr 18, D-01069 Dresden, Germany
[9] Tech Univ Dresden, Sch Engn, Proc Syst Engn Grp, Helmholtzstr 18, D-01069 Dresden, Germany
关键词
Data handling; Engineering of plants and processes; Optimization of operations; Self-optimizing plants; Surrogate models;
D O I
10.1002/cite.202200247
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The chemical industry is one of the key industrial sectors in Germany and at the same time one of the largest consumers of energy and raw materials. A successful energy transition and the development of a circular economy can only succeed if they are actively supported and shaped by the chemical industry - through the redesign of existing production processes and the exploration and implementation of new process routes. The challenge is to realize this transformation within a very short time and for many production processes, whereby a much larger number of process routes must be explored. Digital technologies are key to master this transformation towards more sustainability, climate, and environmental protection. The KEEN project aims to explore and leverage artificial intelligence (AI) opportunities in process industry. The newly developed AI methods are tested wherever possible in real working environments and production plants to prove the economic benefit, applicability, and reliability of the methods and technologies.
引用
收藏
页码:975 / 988
页数:14
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