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Por favor, use este identificador para citar o enlazar este ítem: http://uvadoc.uva.es/handle/10324/29488
Título: Online decision support for an evaporation network
Autor: Pitarch, José Luis
Kalliski, Marc
Gómez Palacín, Carlos
Jasch, Christian
Prada Moraga, César de
Congreso: XXXVIII Jornadas de Automática
Año del Documento: 2017
Editorial: Universidad de Oviedo
Descripción Física: 7 p.
Descripción: Producción Científica
Documento Fuente: Hilario López. XXXVIII CEA Jornadas de Automática. Gijón: Universidad de Oviedo, 2017, p.575-581
Resumen: This work presents a decision-support tool to address the model-based optimization approach for online load allocation and scheduling of cleaning operations in an evaporation network. The aim is improving the resource efficiency by supplying the optimal solution for a given production goal. The approach includes the semi-automatic update of evaporator models, which is based on historical data for minimal modelling effort. The structure of the problem is formulated via mixed-integer programming and integrated into the plant supervision systems. Production constraints, concerns about the practical implementation and visualization preferences are also taken into account in the design of the prototypical tool.
Palabras Clave: integration
decision support
visualization
evaporation network
surrogate model
resource efficiency
ISBN: 978-84-16664-74-0
Patrocinador: info:eu-repo/grantAgreement/EC/H2020/723575
Patrocinador: MINECO/FEDER Grant DPI2015-70975 (INOPTCON)
EU H2020-SPIRE Grant Agreement nº 723575 (CoPro)
Version del Editor: http://hdl.handle.net/10651/46833
Propietario de los Derechos: CEA
Idioma: eng
URI: http://uvadoc.uva.es/handle/10324/29488
Derechos: info:eu-repo/semantics/openAccess
Aparece en las colecciones:Documentos OpenAire(Open Access Infrastructure for Research in Europe)
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