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<dc:creator>Gutiérrez Rodríguez, Gloria</dc:creator>
<dc:creator>Herrero, Pedro</dc:creator>
<dc:creator>Prada Moraga, César de</dc:creator>
<dc:creator>Navia López, Daniel</dc:creator>
<dc:date>2018</dc:date>
<dc:description>Producción Científica</dc:description>
<dc:description>The following work shows the application of DASPK in EcosimPro™ with the aim of to calculate&#xd;
the partial derivatives of the state variables with respect to the decision variables (sensitivities) and&#xd;
to improve the dynamic optimization. The implementation of DASPK was tested in three examples:&#xd;
disturbance rejection in a stirred tank with heater, the optimal production policy of hydrogen in a&#xd;
model of a hydrodesulfuration plant and the optimal trajectory of the feeding in a batch bioreactor.&#xd;
The sensitivities with DASPK was compared with another two possible options: obtain the gradients&#xd;
using finite differences and to solve the extended system with the analytical expressions of the&#xd;
sensitivities. The outcomes shows that the implementation of DASPK is a suitable option to ensure&#xd;
optimality in dynamics optimization without the need of writing the sensitivities by hand,&#xd;
nevertheless the CPU time must be improved to become this option attractive.</dc:description>
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<dc:identifier>https://uvadoc.uva.es/handle/10324/65045</dc:identifier>
<dc:language>eng</dc:language>
<dc:publisher>ITEGAM-JETIA</dc:publisher>
<dc:title>New features in dynamic optimization with EcosimPro™</dc:title>
<dc:type>info:eu-repo/semantics/article</dc:type>
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