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dc.contributor.author
Díaz, María Soledad
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dc.contributor.author
Biegler, Lorenz T.
dc.contributor.other
Martín Martín, Mariano
dc.date.available
2021-08-10T18:25:13Z
dc.date.issued
2014
dc.identifier.citation
Díaz, María Soledad; Biegler, Lorenz T.; Dynamic Optimization in Process systems; CRC Press - Taylor & Francis Group; 2014; 541-570
dc.identifier.isbn
978-1-4665-9936-9
dc.identifier.uri
http://hdl.handle.net/11336/138116
dc.description.abstract
This chapter provides a general description of dynamic optimization problems and available numerical methods. These methods can be broadly classified as indirect or variational approaches and direct approaches, which can be further divided into sequential and simultaneous. In direct methods, the problem is discretized, and the infinite-dimensional nature of the dynamic optimization problem is transformed into a finite-dimensional problem. Available software for both approaches is mentioned and briefly described. Finally, two typical examples in process and ecological engineering are presented. The first problem is the dynamic optimization between two operation states in a continuous-stirred tank, which is solved with sequential and simultaneous strategies in gPROMS® [1] and IPOPT [2] within AMPL [3], respectively. The objective is to minimize the transient between both steady states. Numerical results are presented for increasing discretization degree, with comparison of number of variables in the nonlinear problem and computational time. Different objective function weights are also explored. The second example is a parameter estimation problem for a water quality model that includes phosphorus cycle through phytoplankton, phosphate, and organic phosphorus dynamics. The model is solved with a simultaneous approach with IPOPT [2] in GAMS [4].
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
CRC Press - Taylor & Francis Group
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dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
OPTIMIZATION
dc.subject
SOFTWARE
dc.subject
CHEMICAL ENGINEERING
dc.subject.classification
Ingeniería de Procesos Químicos
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dc.subject.classification
Ingeniería Química
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.title
Dynamic Optimization in Process systems
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
2021-07-27T15:03:46Z
dc.journal.pagination
541-570
dc.journal.pais
Reino Unido
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dc.journal.ciudad
Londres
dc.description.fil
Fil: Díaz, María Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
dc.description.fil
Fil: Biegler, Lorenz T.. University of Carnegie Mellon. Department of Chemical Engineering; Estados Unidos
dc.conicet.paginas
585
dc.source.titulo
Introduction to Software for Chemical Engineers
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