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Journal ArticleDOI

Performance characterization and steady-state modelling of spinning basket membrane module

TL;DR: In this paper, the performance of this module has been reported in the ultra-filtration operation and it is a special type of shear-enhanced device with inbuilt cleaning facility.
Abstract: Spinning basket membrane module is a special type of shear-enhanced device with inbuilt cleaning facility. In this article, the performance of this module has been reported in the ultrafiltration o...
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Journal ArticleDOI
18 May 2021
TL;DR: In this paper, a review of different phenomenological and non-phenomenological models for permeate flux prediction in UF, and a comparison, between selected models, of the predictive capacity.
Abstract: In any membrane filtration, the prediction of permeate flux is critical to calculate the membrane surface required, which is an essential parameter for scaling-up, equipment sizing, and cost determination. For this reason, several models based on phenomenological or theoretical derivation (such as gel-polarization, osmotic pressure, resistance-in-series, and fouling models) and non-phenomenological models have been developed and widely used to describe the limiting phenomena as well as to predict the permeate flux. In general, the development of models or their modifications is done for a particular synthetic model solution and membrane system that shows a good capacity of prediction. However, in more complex matrices, such as fruit juices, those models might not have the same performance. In this context, the present work shows a review of different phenomenological and non-phenomenological models for permeate flux prediction in UF, and a comparison, between selected models, of the permeate flux predictive capacity. Selected models were tested with data from our previous work reported for three fruit juices (bergamot, kiwi, and pomegranate) processed in a cross-flow system for 10 h. The validation of each selected model’s capacity of prediction was performed through a robust statistical examination, including a residual analysis. The results obtained, within the statistically validated models, showed that phenomenological models present a high variability of prediction (values of R-square in the range of 75.91–99.78%), Mean Absolute Percentage Error (MAPE) in the range of 3.14–51.69, and Root Mean Square Error (RMSE) in the range of 0.22–2.01 among the investigated juices. The non-phenomenological models showed a great capacity to predict permeate flux with R-squares higher than 97% and lower MAPE (0.25–2.03) and RMSE (3.74–28.91). Even though the estimated parameters have no physical meaning and do not shed light into the fundamental mechanistic principles that govern these processes, these results suggest that non-phenomenological models are a useful tool from a practical point of view to predict the permeate flux, under defined operating conditions, in membrane separation processes. However, the phenomenological models are still a proper tool for scaling-up and for an understanding the UF process.

14 citations

Journal ArticleDOI
TL;DR: In this article, the authors presented the modeling, simulation, and characterization studies of a dynamic shear-enhanced (DSE) filtration system with an inbuilt cleaning facility.
Abstract: Membrane-based low-cost recovery of nutritional and therapeutic proteins from wastewater is regarded as a leap towards sustainability. However, membranes are heavily fouled by proteins, and thus, frequent chemical or hydrodynamic cleaning is needed even in the advanced dynamic shear-enhanced (DSE) filtration devices. This article presents the modeling, simulation, and characterization studies of a DSE system, namely the ‘Spinning Basket membrane’ (SBM) module with an inbuilt cleaning facility. The device has been established to be specifically suitable for the recovery of proteins from synthetic wastewater. It can perpetually regenerate the flux with its simple and, moreover, online cleaning facility. A two-parameter transient model, purely based on an analytical approach, has been developed to simulate the device. Moderately low deviation (±12 %) of the simulated flux from the corresponding experimental data obtained from ultrafiltration of synthetic wastewater unambiguously validates the proposed model. The present modeling strategy demonstrates how a DSE filtration system with highly complex modes of mass and momentum transfer could be easily simulated.

1 citations