Artículo
A Decision Support System for consumption optimization in a naphtha reforming plant
Autor/es | Biscarri Triviño, Félix
Monedero Goicoechea, Iñigo Luis León de Mora, Carlos Guerrero Alonso, Juan Ignacio González-Falcón, Rocío Pérez-Lombard, Luis |
Departamento | Universidad de Sevilla. Departamento de Tecnología Electrónica Universidad de Sevilla. Departamento de Ingeniería Energética |
Fecha de publicación | 2012 |
Fecha de depósito | 2018-06-28 |
Publicado en |
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Resumen | In a naphtha distillation process, the natural objective is to perform an entire process maximization
of the production rate while meeting required product qualities by searching for an optimal operating
condition by ... In a naphtha distillation process, the natural objective is to perform an entire process maximization of the production rate while meeting required product qualities by searching for an optimal operating condition by manipulating the operating variables. The objective of this paper includes performing an energy process optimization. Not only is an adequate production rate met with the required product qualities but the operating cost is also minimized through a data mining approach. The study of the influence of all process attributes in the defined Energy Efficient Indicator (EEI) allows the construction of a multivariate linear model to aidhumanexperts in the recovery of energy losses.Acanonical discriminant function carried out the data prediction step. The quality of the Decision Support System framework is illustrated by a case study considering a real database. Also, a commercial software supported by this mining framework is presented. |
Cita | Biscarri Triviño, F., Monedero Goicoechea, I.L., León de Mora, C., Guerrero Alonso, J.I., González Falcón, R. y Pérez Lombard, L. (2012). A Decision Support System for consumption optimization in a naphtha reforming plant. Computers and Chemical Engineering, 44 (september 2012), 1-10. |
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A Decision Support System.pdf | 1.337Mb | [PDF] | Ver/ | |