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Process modelling and simulation / Cesar De Prada (2019)  

Public Titre : Process modelling and simulation Type de document : Monographie Auteurs : Cesar De Prada, Éditeur scientifique ; Costas Pantelides, Éditeur scientifique ; Jose Luis Pitarch, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2019 Importance : 298 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 9783039214556 9783039214563 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Informatique [Termes IGN] estimation statistique [Termes IGN] modèle conceptuel de données [Termes IGN] modèle de simulation [Termes IGN] modèle géométrique [Termes IGN] modèle mathématique [Termes IGN] modélisation [Termes IGN] optimisation (mathématiques) Résumé : (éditeur) 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. Note de contenu : 1- Data-mining for processes in chemistry, materials, and engineering 2- Incremental parameter estimation under rank-deficient measurement conditions 3- Sequential parameter estimation for mammalian cell model based on In Silico design of experiments 4- Toward a comprehensive and efficient robust optimization framework for (Bio)chemical processes 5- A systematic grey-box modeling methodology via data reconciliation and SOS constrained regression 6- Toward a distinct and quantitative validation method for predictive process extracts 7- GEKKO optimization suite 8- Modelling condensation and simulation for wheat germ drying in fluidized bed dryer 9- Model development and validation of fluid bed wet granulation with dry binder addition using a population balance model methodology 10- Modeling on-site combined heat and power systems coupled to main process operation 11- Mathematical modelling forecast on the idling transient characteristic of reactor coolant pump 12- Numerical simulation of water absorption and swelling in dehulled barley grains during canned porridge cooking 13- Wave characteristics of coagulation bath in dry-jet wet-spinning process for polyacrylonitrile fiber production using computational fluid dynamics 14- Evaluation of the influences of scrap melting and dissolution during dynamic Linz–Donawitz (LD) converter modelling Numéro de notice : 28502 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE/MATHEMATIQUE Nature : Monographie DOI : 10.3390/books978-3-03921-456-3 En ligne : https://doi.org/10.3390/books978-3-03921-456-3 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97001