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dc.contributor.author
Nieto Degliuomini, Lucas
dc.contributor.author
Biset, S.
dc.contributor.author
Luppi, Patricio Alfredo
dc.contributor.author
Basualdo, M.
dc.date.available
2025-09-24T11:29:46Z
dc.date.issued
2012
dc.identifier.citation
Nieto Degliuomini, Lucas; Biset, S.; Luppi, Patricio Alfredo; Basualdo, M.; Control Oriented Dynamic Model of the Bio-ethanol Processor System; Springer; 2012; 299-328
dc.identifier.isbn
978-1-84996-183-7
dc.identifier.uri
http://hdl.handle.net/11336/271737
dc.description.abstract
In this chapter the pseudo dynamic rigorous model of the Bio-ethanol Processor System and Proton Exchange Membrane Fuel Cell(BPS and PEMFC), working at the optimal efficiency point, is presented. It is based on the steady state HYSYS model given in the previous chapter and is able to deal with this kind of integrated plant for proposing and testing a suitable control structure. The model can be implemented thanks to the use of a specific communication protocol between the programs HYSYS and MATLAB to coordinate the calculations. The heat integration configuration is the same given in chapter 9. The optimal heat exchangers network is initially considered with a faster dynamic than the rest of units of the plant so as to simplify the solution of the problem. It allows assuming that the stream temperatures are instantaneously at their optimum values. Moreover, the dynamic behavior of the reactors and the PEMFC are modeled in MATLAB. The principal objectives given previously for the BPS and PEMFC can be tested here through the dynamic simulations. They are performed using the critical control loops defined through the sensitivity analysis presented in the previous chapter. The controllers tuning for doing the preliminary tests are done thanks to the obtention of black box models, using the simulated plant excited with step changes and recording the reaction curves data.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Bio-ethanol Processor
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Dynamic modelling
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System identification
dc.subject
Hydrogen Production
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Ingeniería de Procesos Químicos
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Ingeniería Química
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INGENIERÍAS Y TECNOLOGÍAS
dc.title
Control Oriented Dynamic Model of the Bio-ethanol Processor System
dc.type
info:eu-repo/semantics/publishedVersion
dc.type
info:eu-repo/semantics/bookPart
dc.type
info:ar-repo/semantics/parte de libro
dc.date.updated
2025-09-17T09:21:10Z
dc.journal.pagination
299-328
dc.journal.pais
Reino Unido
dc.journal.ciudad
Londres
dc.description.fil
Fil: Nieto Degliuomini, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina
dc.description.fil
Fil: Biset, S.. Universidad Tecnológica Nacional. Facultad Regional Rosario; Argentina
dc.description.fil
Fil: Luppi, Patricio Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina
dc.description.fil
Fil: Basualdo, M.. Universidad Tecnológica Nacional. Facultad Regional Rosario; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007/978-1-84996-184-4_10
dc.conicet.paginas
461
dc.source.titulo
PEM Fuel Cells with Bio-Fuel Processor System: A Multidisciplinar Study of Modelling, Simulation, Fault Diagnosis and Advanced Control
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