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dc.contributor.author
Luna, Martín Francisco
dc.contributor.author
Martinez, Ernesto Carlos
dc.date.available
2016-08-03T20:50:05Z
dc.date.issued
2015-09
dc.identifier.citation
Luna, Martín Francisco; Martinez, Ernesto Carlos; Run-to-run optimization of biodiesel production using probabilistic tendency models: A simulation study; Wiley; The Canadian Journal Of Chemical Engineering; 93; 9; 9-2015; 1613-1623
dc.identifier.issn
0008-4034
dc.identifier.uri
http://hdl.handle.net/11336/6892
dc.description.abstract
Variability of the composition and properties of raw materials used for biodiesel production may cause a loss of productivity, since the same operating conditions give rise to different yields for alternative feedstock sources. The capability to re-optimize the process when the raw materials change may lead to a significant improvement in productivity. For yield optimization, first-principles models of a biodiesel reactor have limited prediction capabilities due to the complex kinetics involving transesterifications and saponifications reactions, which demands active learning of relevant data through optimal design of experiments. In this work, a Bayesian approach for integrating experimentation with imperfect models is proposed to optimize biodiesel production on a run-to-run basis. Parameter distributions in a probabilistic tendency model for the transesterification of triglycerides are re-estimated using data from a sequence of experiments designed to guide policy improvement. Global sensitivity analysis is used to formulate the optimal sampling strategy in each dynamic experiment as an optimization problem. Results obtained highlight that, even when there are significant errors in the tendency model structure and reduced information content in samples, a significant increase in biodiesel production can be achieved after a handful of runs.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Wiley
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Modeling for Optimization
dc.subject
Biodiesel Production
dc.subject
Tendency Modeling
dc.subject
Optimal Experimental Design
dc.subject.classification
Ingeniería de Procesos Químicos
dc.subject.classification
Ingeniería Química
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Run-to-run optimization of biodiesel production using probabilistic tendency models: A simulation study
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2016-08-01T18:36:00Z
dc.journal.volume
93
dc.journal.number
9
dc.journal.pagination
1613-1623
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Hoboken
dc.description.fil
Fil: Luna, Martín Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
dc.description.fil
Fil: Martinez, Ernesto Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
dc.journal.title
The Canadian Journal Of Chemical Engineering
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/cjce.22249/abstract
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1002/cjce.22249
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/10.1002/cjce.22249
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