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Modelling and simulation of a continuous beer production plant using Simulink

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dc.contributor.authorMonte Sastre, Enrique
dc.contributor.departamentoUniversidad Carlos III de Madrid. Departamento de Mecánica de Medios Continuos y Teoría de Estructurases
dc.contributor.tutorGarcía Llorente, Mario
dc.date.accessioned2024-04-23T11:14:05Z
dc.date.available2024-04-23T11:14:05Z
dc.date.issued2021-06
dc.date.submitted2021-07-09
dc.description.abstractBeer is traditionally batch produced. However, there has been always an interest to make this process continuous, due to its economic and also environmental benefits. In this project, a continuous brewing plant model has been developed from already published batch models. In particular, this model considers and links mashing and fermentation steps. For it, already existing forefront brewing technologies have been used as inspiration. The conversion has been performed by placing tanks in cascade for mashing and for fermentation, and by using the chemostat concept. The results allows not only to study the system behaviour but also to provide design parameters. Besides, and overview of the brewing process and of continuous brewing developments, advantages and disadvantages is exposed.
dc.description.degreeIngeniería en Tecnologías Industriales
dc.identifier.urihttps://hdl.handle.net/10016/43836
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ecienciaIngeniería Industrial
dc.subject.otherSimulink
dc.subject.otherBeer production
dc.subject.otherBrewing
dc.subject.otherFermentation
dc.subject.otherMashing
dc.subject.otherDynamic model
dc.subject.otherKinetic model
dc.subject.otherBioprocess modelling
dc.subject.otherSimulation-Based Design
dc.subject.otherSimulation
dc.titleModelling and simulation of a continuous beer production plant using Simulink
dc.typebachelor thesis*
dspace.entity.typePublication
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relation.isTutorOfPublication.latestForDiscoveryc85c5390-d002-439c-9dec-852d4aa693d2
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