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. 2022 Aug 12:44:108538.
doi: 10.1016/j.dib.2022.108538. eCollection 2022 Oct.

Dataset of reverse osmosis membrane transport properties calculated with and without assumptions about concentration polarization and solute rejection and the errors associated with each assumption

Mikayla D Armstrong  1 , Riley Vickers  1 , Orlando Coronell  1
Affiliations

Dataset of reverse osmosis membrane transport properties calculated with and without assumptions about concentration polarization and solute rejection and the errors associated with each assumption

Mikayla D Armstrong et al. Data Brief. .

Abstract

The data shared in this work represent aspects of the performance of reverse osmosis membranes during filtration. We present pressure, permeate flux, and solute rejection data gathered during cross-flow filtration experiments, which were used to (i) model water and solute permeation through the membranes and (ii) calculate concentration polarization moduli and a suite of transport properties, including water permeance, solute permeance, and water-solute selectivity. Membrane transport properties were calculated with the different approaches commonly used to simplify transport property calculations. Typical calculations of these transport properties often use simplifying assumptions (e.g., negligible concentration polarization and solute rejection close to 100%). However, the extent of the errors associated with using simplifying assumptions in this context were not previously known or quantified. This publication and corresponding dataset pertain to figures presented in the accompanying work (Armstrong et al., 2022) [1].

Keywords: Cross-flow; Diffusive transport; Filtration; Flux; Osmotic pressure; Permeance; Selectivity.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The authors declare the following financial interests/personal relationships which may be considered as potential competing interests.

Figures

Fig 1
Fig. 1
Example parameter fittings (dashed lines) for the solutes rejected by a) ESPA3 and b) SWC4+ in cross-flow experiments. Markers are data corresponding to ESPA3_1 and SWC4_1. Associated parameters are in Table 1.
See this image and copyright information in PMC

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References

    1. Armstrong M.D., Vickers R., Coronell O. Trends and errors in reverse osmosis membrane performance calculations stemming from test pressure and simplifying assumptions about concentration polarization and solute rejection. J. Membr. Sci. 2022 doi: 10.1016/j.memsci.2022.120856. - DOI - PMC - PubMed
    1. Armstrong M.D., Vickers R., Coronell O. Reverse osmosis membrane transport properties calculated with and without simplifying assumptions and the percent error associated with the simplifying assumptions. Open Sci. Framew. 2022 doi: 10.17605/OSF.IO/PU5AJ. [Dataset] - DOI - PMC - PubMed
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