Abstract
Regarding the purification of seawater, it is necessary to reduce both the total concentration of salt and also the concentration of boron to meet purity requirements for safe drinking water. For this purpose reverse osmosis membrane modules can be designed based on experimental data supported by computer models to determine energy efficient configurations and operating condi-tions. In previous studies numerical models have been suggested to predict the performance of the removal with respect to difference pressures, pH values, and temperatures. Here, an analytical model is suggested which allows for both the simplified fitting of the parameters required for pre-dicting boron transport coefficients and also the simple equations that can be used for the design of combined seawater and boron removal systems. This modelling methodology is demonstrated through two case studies including FilmTec and Saehan membrane modules. For both cases the model is shown to be able to predict the performance with similar accuracy compared with existing finite-difference type numerical models from the literature.
| Original language | English |
|---|---|
| Article number | 8999 |
| Journal | Sustainability (Switzerland) |
| Volume | 13 |
| Issue number | 16 |
| DOIs | |
| State | Published - 2 Aug 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 6 Clean Water and Sanitation
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SDG 7 Affordable and Clean Energy
Keywords
- Boron
- Desalination
- Modelling
- Parameter estimation
- Reverse osmosis
- Seawater
- Simulation
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