Process Modelling and Simulation

• Autor principal: De Prada, Cesar (auth)
• Otros Autores: Pantelides, Costas (auth), Pitarch, Jose Luis (auth)
• Formato: Electrónico Capítulo de libro
• Lenguaje: inglés
• Publicado: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Materias: History of engineering & technology; polyacrylonitrile-based carbon fiber; n/a; coagulation bath; binder dissolution; sensitivity analysis; simulation; neural networks; kernel development; thermodynamics; phytochemicals; wave resonance; natural extracts; population balance model; optimization; vane; parameter estimation; grey-box model; observability; optimal clustering; energy; idling test; data-mining; extents; computational fluid dynamics; scrap dissolution; Combined Heat and Power; dynamic optimization; scrap melting; swelling; engineering; dry-jet wet spinning process; fluid bed granulation; point estimation method; algebraic modeling language; Design of Experiments; costing stopping; materials; hydration; SOS programming; kinetics; moisture content; CHP legislation; model predictive control; graph theory; robust optimization; dynamic converter modelling; partial least square regression; uncertainty; state decoupling; utility management; fluidized bed drying; reactor coolant pump; condensation; wheat germ; cooking; maximum wave amplitude; moving horizon estimation; gray-box model; chemistry; barley; machine learning; heat and mass balance; equality constraints; porridge; process model validation; Pharmaceutical Processes; mathematical model; model identification; Mammalian Cell Culture; process modeling; parameter correlation
• Acceso en línea: DOAB: download the publication; DOAB: description of the publication

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 application...