Simulation and optimization in process engineering : the benefit of mathematical methods in applications of the chemical industry /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Bortz, Michael (Editor ), Asprion, Norbert (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam, Netherlands : Elsevier, 2022.
Temas:
Production engineering > Mathematics.
Mathematical optimization.
Technique de la production > Math�ematiques.
Optimisation math�ematique.
Mathematical optimization
Production engineering > Mathematics
Acceso en línea:Texto completo
Tabla de Contenidos:
  • <P>1. The PC-SAFT Equation of State</p> <p>2. Don't Search
  • Solve! Process Optimization Modeling with IDAES</p> <p>3. Thinking Multicriteria
  • A Jackknife When it Comes to Optimization</p> <p>4. Dynamic modelling, simulation, optimization</p> <p>5. Solvent Recovery by Batch Distillation
  • Application of Multivariate Sensitivity Studies to High Dimensional Multi-Objective Optimization Problems</p> <p>6. Modeling and Optimizing Dynamic Networks: Applications in Process Engineering and Energy Supply</p> <p>7. The Use of Digital Twins to Overcome Low-redundancy Problems in Process Data Reconciliation</p> <p>8. Real-Time Optimization of Batch Chemical Processes
  • Combining within-batch and batch-to-batch corrections</p> <p>9. On economic operation of switchable chlor-alkali electrolysis for demand side management</p> <p>10. Optimal experimental design for dynamical processes</p> <p>11. Characterization of reactions and growth in automated continuous flow and bioreactor platforms
  • From linear DoE to model-based approaches</p> <p>12. Product development in a multicriteria context</p> <p>13. Dispatching for batch chemical processes using Monte-Carlo simulations
  • a practical approach to scheduling on the shop floor</p> <p>14. Applications of the RTN Scheduling Model in the Chemical Industry</p>

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