A predictive model for spiral wound reverse osmosis membrane modules: The effect of winding geometry and accurate geometric details

- A detailed model of spiral wound reverse osmosis membrane modules is developed.
- Cross-sectional spiral curves are reconstructed as a function of a winding angle.
- Asymmetric spatial variations in a folded membrane are observed.
- The proposed model is validated against experimental data.
- Geometric features are shown to have a great impact on overall process performance.

A new one-dimensional predictive model for spiral wound modules (SWMs) applied to reverse osmosis membrane systems is developed by incorporating a detailed description of the geometric features of SWMs and considering flow in two directions. The proposed model is found to capture existing experimental data well, with similar accuracy to the widely-used plate model in which the SWM is assumed to consist of multiple thin rectangular channels. However, physical parameters that should in principle be model-independent, such as membrane permeability, are found to differ significantly depending on which model is used, when the same data sets are used for parameter estimation. Conversely, when using the same physical parameter values in both models, the water recovery predicted by the plate-like model is 12-20% higher than that predicted by the spiral model. This discrepancy is due to differences in the description of geometric features, in particular the active membrane area and the variable channel heights through the module, which impact on predicted performance and energy consumption. A number of design variables - the number of membrane leaves, membrane dimensions, centre pipe radius and the height of feed and permeate channels - are varied and their effects on performance, energy consumption and calculated module size are analysed. The proposed spiral model provides valuable insights into the effects of complex geometry on the performance of the SWM as well as of the overall system, at a low computational cost.