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PMID: 39590622 Published · epublish English Journal Article

Computational Fluid Dynamics Modeling of Pressure-Retarded Osmosis: Towards a Virtual Lab for Osmotic-Driven Process Simulations.

Membranes ·Vol. 14 ·No. 11 ·2024-11-11

Mohammadi Amin M, Krühne U

Abstract

Pressure-Retarded Osmosis (PRO) is an osmotically driven membrane-based process that has recently garnered significant attention from researchers due to its potential for clean energy harvesting from salinity gradients. The complex interactions between mixed-mode channel flows and osmotic fluxes in real PRO membrane modules necessitate high-fidelity modeling approaches. In this work, an efficient CFD framework is developed for the 3D simulation of osmotically driven membrane processes. This approach is based on a two-way coupling between a CFD solver, which captures external concentration polarization (ECP) effects, and an analytical representation of internal concentration polarization (ICP). Consequently, the osmotic water flux and reverse salt flux (RSF) can be accurately determined, accounting for all CP effects without any limitations on the geometrical complexity of the membrane chamber or its flow mode/regime. The proposed model is validated against experimental data, showing good agreement across various PRO case studies. Additionally, the model's flexibility to simulate other types of osmotically driven processes such as forward osmosis (FO) is examined. Thus, the contributions of ECP and ICP effects in local osmotic pressure drop along the membrane chamber are comprehensively compared for FO and PRO modes. Finally, the capability of the CFD model to simulate a lab-scale PRO module is demonstrated across a range of Reynolds numbers from low-speed laminar up to turbulent flow regimes.

Keywords
CFD FO membrane osmotic energy pressure-retarded osmosis (PRO) virtual lab
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Mohammadi Amin Meisam
Process and Systems Engineering Centre (PROSYS), Technical University of Denmark (DTU), DK-2800 Lyngby, Denmark.
Krühne Ulrich ORCID
Process and Systems Engineering Centre (PROSYS), Technical University of Denmark (DTU), DK-2800 Lyngby, Denmark.
Article Info
Journal
Membranes
Abbr.
Membranes (Basel)
ISSN
2077-0375
Published
2024-11-11
Epub
2024-00-11
Language
English
Country/Region
Switzerland
NLM ID
101577807
基金资助
Innovation Fund Denmark · 0224-00005B
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