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New features in dynamic optimization with EcosimPro™ Gutiérrez Rodríguez, Gloria Herrero, Pedro Prada Moraga, César de Navia López, Daniel Dynamic optimization DASPK Sensitivities analysis EcosimPro 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. Este trabajo se deriva de Erasmus Mundus External Cooperation Window Lot 17 grants (EMECW Lot 17). 2024-01-25T18:38:10Z 2024-01-25T18:38:10Z 2018 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 Atribución 4.0 Internacional info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ application/pdf ITEGAM-JETIA https://uvadoc.uva.es/bitstream/10324/65045/4/1.pdf.jpg Hispana TEXT https://creativecommons.org/licenses/by/4.0/ UVaDOC. Repositorio Documental de la Universidad de Valladolid https://uvadoc.uva.es/handle/10324/65045