PMID- 34068543 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20240402 IS - 2077-0375 (Print) IS - 2077-0375 (Electronic) IS - 2077-0375 (Linking) VI - 11 IP - 5 DP - 2021 May 10 TI - Dynamic Modeling of Fouling in Reverse Osmosis Membranes. LID - 10.3390/membranes11050349 [doi] LID - 349 AB - During reverse osmosis (RO) membrane filtration, performance is dramatically affected by fouling, which concurrently decreases the permeate flux while increasing the energy required to operate the system. Comprehensive design and optimization of RO systems are best served by an understanding of the coupling between membrane shape, local flow field, and fouling; however, current studies focus exclusively on simplified steady-state models that ignore the dynamic coupling between fluid flow, solute transport, and foulant accumulation. We developed a customized solver (SUMs: Stanford University Membrane Solver) under the open source finite volume simulator OpenFOAM to solve transient Navier-Stokes, advection-diffusion, and adsorption-desorption equations for foulant accumulation. We implemented two permeate flux reduction models at the membrane boundary: the resistance-in-series (RIS) model and the effective-pressure-drop (EPD) model. The two models were validated against filtration experiments by comparing the equilibrium flux, pressure drop, and fouling pattern on the membrane. Both models not only predict macroscopic quantities (e.g., permeate flux and pressure drop) but also the fouling pattern developed on the membrane, with a good match with experimental results. Furthermore, the models capture the temporal evolution of foulant accumulation and its coupling with flux reduction. FAU - Ling, Bowen AU - Ling B AUID- ORCID: 0000-0002-3218-4807 AD - Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China. FAU - Xie, Peng AU - Xie P AD - Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China. FAU - Ladner, David AU - Ladner D AUID- ORCID: 0000-0002-9214-783X AD - Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China. FAU - Battiato, Ilenia AU - Battiato I AUID- ORCID: 0000-0002-7453-6428 AD - Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China. LA - eng GR - 1242861-12-SDGBM/the National Alliance for Water Innovation/ GR - 1533874/the National Science Foundation/ PT - Journal Article DEP - 20210510 PL - Switzerland TA - Membranes (Basel) JT - Membranes JID - 101577807 PMC - PMC8151604 OTO - NOTNLM OT - OpenFoam OT - RO membrane OT - numerical model COIS- The authors declare no conflict of interest. EDAT- 2021/06/03 06:00 MHDA- 2021/06/03 06:01 PMCR- 2021/05/10 CRDT- 2021/06/02 01:22 PHST- 2021/04/19 00:00 [received] PHST- 2021/05/04 00:00 [revised] PHST- 2021/05/05 00:00 [accepted] PHST- 2021/06/02 01:22 [entrez] PHST- 2021/06/03 06:00 [pubmed] PHST- 2021/06/03 06:01 [medline] PHST- 2021/05/10 00:00 [pmc-release] AID - membranes11050349 [pii] AID - membranes-11-00349 [pii] AID - 10.3390/membranes11050349 [doi] PST - epublish SO - Membranes (Basel). 2021 May 10;11(5):349. doi: 10.3390/membranes11050349.