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Prediction of Methanol Production in a Carbon Dioxide Hydrogenation Plant Using Neural Networks

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Prediction of Methanol Production in a Carbon Dioxide Hydrogenation Plant Using Neural Networks

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Chuquin-Vasco, D.; Parra, F.; Chuquin-Vasco, N.; Chuquin-Vasco, J.; Lo-Iacono-Ferreira, VG. (2021). Prediction of Methanol Production in a Carbon Dioxide Hydrogenation Plant Using Neural Networks. Energies. 14(13):1-18. https://doi.org/10.3390/en14133965

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/182612

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Title: Prediction of Methanol Production in a Carbon Dioxide Hydrogenation Plant Using Neural Networks
Author: Chuquin-Vasco, Daniel Parra, Francis Chuquin-Vasco, Nelson Chuquin-Vasco, Juan Lo-Iacono-Ferreira, Vanesa G.
UPV Unit: Universitat Politècnica de València. Departamento de Proyectos de Ingeniería - Departament de Projectes d'Enginyeria
Issued date:
Abstract:
[EN] The objective of this research was to design a neural network (ANN) to predict the methanol flux at the outlet of a carbon dioxide dehydrogenation plant. For the development of the ANN, a database was generated, in ...[+]
Subjects: Simulation , DWSIM , Hydrogenation of carbon dioxide , ANN
Copyrigths: Reconocimiento (by)
Source:
Energies. (eissn: 1996-1073 )
DOI: 10.3390/en14133965
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/en14133965
Type: Artículo

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