| Journal: | Brazilian journal of chemical engineering |
| Database: | PERIÓDICA |
| System number: | 000308752 |
| ISSN: | 0104-6632 |
| Authors: | Mizutani, F.T1 Costa, A.L.H Pessoa, F.L.P |
| Institutions: | 1Universidade Federal do Rio de Janeiro, Escola de Quimica, Rio de Janeiro. Brasil |
| Year: | 2000 |
| Season: | Sep |
| Volumen: | 17 |
| Number: | 3 |
| Pages: | 307-314 |
| Country: | Brasil |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Experimental, aplicado |
| English abstract | 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 |
| Disciplines: | Química |
| Keyword: | Ingeniería química, Extracción supercrítica de fluídos, Simulación estocástica |
| Keyword: | Chemistry, Chemical engineering, Supercritical fluid extraction, Stochastic simulation |
| Full text: | Texto completo (Ver HTML) |
