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oai:uvadoc.uva.es:10324/650452025-09-04T12:07:37Zcom_10324_1168com_10324_931com_10324_894col_10324_1302

Gutiérrez Rodríguez, Gloria Herrero, Pedro Prada Moraga, César de Navia López, Daniel Producción Científica The following work shows the application of DASPK in EcosimPro™ with the aim of to calculate the partial derivatives of the state variables with respect to the decision variables (sensitivities) and to improve the dynamic optimization. The implementation of DASPK was tested in three examples: disturbance rejection in a stirred tank with heater, the optimal production policy of hydrogen in a model of a hydrodesulfuration plant and the optimal trajectory of the feeding in a batch bioreactor. The sensitivities with DASPK was compared with another two possible options: obtain the gradients using finite differences and to solve the extended system with the analytical expressions of the sensitivities. The outcomes shows that the implementation of DASPK is a suitable option to ensure optimality in dynamics optimization without the need of writing the sensitivities by hand, nevertheless the CPU time must be improved to become this option attractive. 2024-01-25 2024-01-25 2018 info:eu-repo/semantics/article Journal of Engineering and Technology for Industrial Applications, Marzo 2018, vol. 4, n. 13, p. 5-13 2447-0228 https://uvadoc.uva.es/handle/10324/65045 10.5935/2447-0228.20180001 05 13 13 New features in dynamic optimization with EcosimPro™ 13 eng https://itegam-jetia.org/journal/index.php/jetia/article/view/38t info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ Atribución 4.0 Internacional ITEGAM-JETIA