Simulation and Optimization in Process Engineering : The Benefit of Mathematical Methods in Applications of the Chemical Industry

Simulation and Optimization in Process Engineering: The Benefit of Mathematical Methods in Applications of the Process Industry brings together examples where the successful transfer of progress made in mathematical simulation and optimization has led to innovations in an industrial context that cre...

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מידע ביבליוגרפי
מחבר ראשי: Bortz, Michael
מחברים אחרים: Asprion, Norbert (Éditeur intellectuel)
פורמט: Livre numérique
שפה:Anglais
יצא לאור: San Diego, CA : Elsevier Science 2022.
Paris : Cyberlibris
גישה מקוונת:Accès Université d'Orléans et IFPM
Accès INSA CVL
הערה: Couverture. https://static2.cyberlibris.com/books_upload/136pix/9780323850445.jpg
Cyberlibris (ScholarVox) corpus Sciences de l'ingénieur
Cyberlibris (ScholarVox) corpus Sciences de l'ingénieur
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Simulation and Optimization in Process Engineering, The Benefit of Mathematical Methods in Applications of the Chemical Industry, Edited by Michael Bortz, Norbert Asprion, San Diego, CA, Elsevier Science, 2022, 1 vol. (568 p.), 978-03-2385-043-8
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520 |a Simulation and Optimization in Process Engineering: The Benefit of Mathematical Methods in Applications of the Process Industry brings together examples where the successful transfer of progress made in mathematical simulation and optimization has led to innovations in an industrial context that created substantial benefit. Containing introductory accounts on scientific progress in the most relevant topics of process engineering (substance properties, simulation, optimization, optimal control and real time optimization), the examples included illustrate how such scientific progress has been transferred to innovations that delivered a measurable impact, covering details of the methods used, and more. With each chapter bringing together expertise from academia and industry, this book is the first of its kind, providing demonstratable insights. Recent mathematical methods are transformed into industrially relevant innovations. Covers recent progress in mathematical simulation and optimization in a process engineering context with chapters written by experts from both academia and industry Provides insight into challenges in industry aiming for a digitized world 
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