Process Modelling and Simulation

Process Modelling and Simulation

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Since process models are nowadays ubiquitous in many applications, the challenges and alternatives related to their development, validation, and efficient use have become more apparent. In addition, the massive amounts of both offline and online data available today open the door for new applications and solutions. However, transforming data into useful models and information in the context of the process industry or of bio-systems requires specific approaches and considerations such as new modelling methodologies incorporating the complex, stochastic, hybrid and distributed nature of many processes in particular. The same can be said about the tools and software environments used to describe, code, and solve such models for their further exploitation. Going well beyond mere simulation tools, these advanced tools offer a software suite built around the models, facilitating tasks such as experiment design, parameter estimation, model initialization, validation, analysis, size reduction, discretization, optimization, distributed computation, co-simulation, etc. This Special Issue collects novel developments in these topics in order to address the challenges brought by the use of models in their different facets, and to reflect state of the art developments in methods, tools and industrial applications.

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  • algebraic modeling language
  • barley
  • binder dissolution
  • Chemistry
  • CHP legislation
  • coagulation bath
  • combined heat and power
  • computational fluid dynamics
  • condensation
  • Cooking
  • costing stopping
  • data-mining
  • Design of experiments
  • dry-jet wet spinning process
  • dynamic converter modelling
  • dynamic optimization
  • energy
  • Engineering
  • equality constraints
  • extents
  • fluid bed granulation
  • fluidized bed drying
  • Graph theory
  • gray-box model
  • grey-box model
  • heat and mass balance
  • hydration
  • idling test
  • kernel development
  • kinetics
  • Machine learning
  • Mammalian Cell Culture
  • Materials
  • Mathematical model
  • maximum wave amplitude
  • Model identification
  • Model Predictive Control
  • moisture content
  • moving horizon estimation
  • n/a
  • natural extracts
  • neural networks
  • observability
  • optimal clustering
  • optimization
  • parameter correlation
  • Parameter estimation
  • partial least square regression
  • Pharmaceutical Processes
  • Phytochemicals
  • point estimation method
  • polyacrylonitrile-based carbon fiber
  • population balance model
  • porridge
  • process model validation
  • process modeling
  • reactor coolant pump
  • robust optimization
  • scrap dissolution
  • scrap melting
  • sensitivity analysis
  • simulation
  • SOS programming
  • state decoupling
  • swelling
  • Thermodynamics
  • uncertainty
  • utility management
  • vane
  • wave resonance
  • wheat germ


DOI: 10.3390/books978-3-03921-456-3


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edition cover


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