Revista: | Brazilian journal of chemical engineering |
Base de datos: | PERIÓDICA |
Número de sistema: | 000308752 |
ISSN: | 0104-6632 |
Autores: | Mizutani, F.T1 Costa, A.L.H Pessoa, F.L.P |
Instituciones: | 1Universidade Federal do Rio de Janeiro, Escola de Quimica, Rio de Janeiro. Brasil |
Año: | 2000 |
Periodo: | Sep |
Volumen: | 17 |
Número: | 3 |
Paginación: | 307-314 |
País: | Brasil |
Idioma: | Inglés |
Tipo de documento: | Artículo |
Enfoque: | Experimental, aplicado |
Resumen en inglés | Process simulation involves the evaluation of output variables by the specification of input variables and process parameters. However, in a real process, input data and parameters cannot be known without uncertainty. This fact may limit the utilization of simulation results to predict plant behavior. In order to achieve a more realistic analysis, the procedure of stochastic simulation can be conducted. This technique is based on a large set of simulation runs where input variables and parameters are randomly selected according to adequate probability density functions. The objective of this work is to illustrate the application of a stochastic simulation procedure to the process of fractionation of orange essential oil, using supercritical carbon dioxide in a multistage extraction column. Analysis of the proposed example demonstrates the importance of the stochastic simulation to develop more reliable designs and operating conditions for a supercritical fluid extraction process |
Disciplinas: | Química |
Palabras clave: | Ingeniería química, Extracción supercrítica de fluídos, Simulación estocástica |
Keyword: | Chemistry, Chemical engineering, Supercritical fluid extraction, Stochastic simulation |
Texto completo: | Texto completo (Ver HTML) |