Reverse osmosis desalination under periodically oscillating conditions: insight from spatiotemporal simulations
This study investigates the spatiotemporal dynamics and performance of reverse osmosis (RO) desalination under periodic oscillatory conditions using a partial differential equation (PDE) model. Assuming constant membrane transport properties, the model shows that sinusoidal variations in flow and pressure yield cycle-averaged performance metrics that closely align with those of steady-state operation under equivalent mean conditions. Increasing the oscillation frequency attenuates temporal fluctuations in permeate concentration. Notably, rectified sinusoidal variations increase the permeate production rate, a result attributed to the significantly higher energy input. While these findings are consistent with experimental trends, the analysis uncovers a key divergence from prior literature: rectified sinusoidal variations are the least energy-efficient strategy due to their disproportionate energy demands, whereas steady-state operation remains the most energy-efficient. Additionally, the potential correlation between rapid frequency switching between sub-osmotic and super-osmotic conditions under rectified sinusoidal conditions and accelerated membrane degradation warrants further exploration in future studies. • Sinusoidal operation closely resembles steady-state performance under equivalent mean conditions. • Increasing oscillation frequency minimizes temporal fluctuations in permeate concentration. • Rectified sinusoidal operation can result in transient negative permeate flux. • In terms of energy efficiency: steady-state feed > sinusoidal feed > rectified sinusoidal feed.
Authors
- Mingheng Li (ORCID: https://orcid.org/0000-0002-6611-425X)
Institutions
- California State Polytechnic University (US)
Publication Details
- Journal
- Desalination
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1016/j.desal.2025.118942
- Citations
- 6
- Primary Topic
- Membrane Separation Technologies
- Type
- article
- Field-Weighted Citation Impact
- 4.90
Funders
- National Science Foundation