Process Modelling and Simulation
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...
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| 格式: | Online |
| 語言: | 英语 |
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MDPI - Multidisciplinary Digital Publishing Institute
2021
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| 主題: | |
| 在線閱讀: | 42536 |
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| _version_ | 1869527279057502208 |
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| author | De Prada, Cesar Pantelides, Costas Pitarch, Jose Luis |
| author_browse | De Prada, Cesar Pantelides, Costas Pitarch, Jose Luis |
| author_facet | De Prada, Cesar Pantelides, Costas Pitarch, Jose Luis |
| author_sort | De Prada, Cesar |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-57069 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-570692024-04-11T15:10:30Z Process Modelling and Simulation De Prada, Cesar Pantelides, Costas Pitarch, Jose Luis TA1-2040 T1-995 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 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. 2021-02-12T00:01:17Z 2021-02-12T00:01:17Z 2019-12-09 11:49:15 2019 book 42536 9783039214563 9783039214556 https://directory.doabooks.org/handle/20.500.12854/57069 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/1566 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03921-456-3 10.3390/books978-3-03921-456-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039214563 9783039214556 298 open access |
| spellingShingle | TA1-2040 T1-995 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology De Prada, Cesar Pantelides, Costas Pitarch, Jose Luis Process Modelling and Simulation |
| title | Process Modelling and Simulation |
| title_full | Process Modelling and Simulation |
| title_fullStr | Process Modelling and Simulation |
| title_full_unstemmed | Process Modelling and Simulation |
| title_short | Process Modelling and Simulation |
| title_sort | process modelling and simulation |
| topic | TA1-2040 T1-995 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | TA1-2040 T1-995 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | 42536 |
| work_keys_str_mv | AT depradacesar processmodellingandsimulation AT pantelidescostas processmodellingandsimulation AT pitarchjoseluis processmodellingandsimulation |