Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4989199 | Journal of Membrane Science | 2017 | 31 Pages |
Abstract
The ARIMA 211 model showed the lowest value of root mean squared error (RMSE) (0.3891) and a mean absolute percentage error (MAPE) of 4.9476; the model was found to be very successful in predicting the flux decline over time with a prediction of 99.96% (R2adj, R-squared adjusted by degree of freedom) in the clarification of bergamot juice. The ARIMA 111 model predicted 99.61% of experimental values (R2adj) with the lowest values of RMSE (0.2516) and MAPE (1.9566) in the clarification of kiwifruit juice. The ARIMA 212 model fitted 99.14% of experimental data (R2adj) in the clarification of pomegranate juice with lower values of RMSE (0.2768) and MAPE (2.2613). The proposed approach offers a simple alternative for the prediction of the permeate flux since modeling does not require information on feed solution, membrane material, membrane configuration and operating conditions.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Filtration and Separation
Authors
René Ruby-Figueroa, Jorge Saavedra, Natalia Bahamonde, Alfredo Cassano,