TY  - BOOK
AU  - De Prada, Cesar
AU  - Pantelides, Costas
AU  - Pitarch, Jose Luis
AB  - 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.
DO  - 10.3390/books978-3-03921-456-3
ID  - OAPEN ID: 42536
KW  - polyacrylonitrile-based carbon fiber
KW  - n/a
KW  - coagulation bath
KW  - binder dissolution
KW  - sensitivity analysis
KW  - simulation
KW  - neural networks
KW  - kernel development
KW  - thermodynamics
KW  - phytochemicals
KW  - wave resonance
KW  - natural extracts
KW  - population balance model
KW  - optimization
KW  - vane
KW  - parameter estimation
KW  - grey-box model
KW  - observability
KW  - optimal clustering
KW  - energy
KW  - idling test
KW  - data-mining
KW  - extents
KW  - computational fluid dynamics
KW  - scrap dissolution
KW  - Combined Heat and Power
KW  - dynamic optimization
KW  - scrap melting
KW  - swelling
KW  - engineering
KW  - dry-jet wet spinning process
KW  - fluid bed granulation
KW  - point estimation method
KW  - algebraic modeling language
KW  - Design of Experiments
KW  - costing stopping
KW  - materials
KW  - hydration
KW  - SOS programming
KW  - kinetics
KW  - moisture content
KW  - CHP legislation
KW  - model predictive control
KW  - graph theory
KW  - robust optimization
KW  - dynamic converter modelling
KW  - partial least square regression
KW  - uncertainty
KW  - state decoupling
KW  - utility management
KW  - fluidized bed drying
KW  - reactor coolant pump
KW  - condensation
KW  - wheat germ
KW  - cooking
KW  - maximum wave amplitude
KW  - moving horizon estimation
KW  - gray-box model
KW  - chemistry
KW  - barley
KW  - machine learning
KW  - heat and mass balance
KW  - equality constraints
KW  - porridge
KW  - process model validation
KW  - Pharmaceutical Processes
KW  - mathematical model
KW  - model identification
KW  - Mammalian Cell Culture
KW  - process modeling
KW  - parameter correlation
L1  - https://mdpi.com/books/pdfview/book/1566
LA  - English
LK  - https://directory.doabooks.org/handle/20.500.12854/57069
PB  - MDPI - Multidisciplinary Digital Publishing Institute
PY  - 2019
SN  - 9783039214563
SN  - 9783039214556
TI  - Process Modelling and Simulationnull
ER  - 
