• Membrane Journal
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• v.28 no.3
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• pp.196-204
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• 2018

The anaerobic fluidized bed bioreactor (AFBR) treating synthetic wastewater to simulate domestic sewage was operated under GAC fluidization to provide high surface area for biofilm formation. Although the AFBR achieves excellent COD removal efficiency due to biological activities, concerns are still made with nutrient such as nitrogen remaining in the effluent produced by AFBR. In this study, forward osmosis membrane was applied to treat the effluent produced by AFBR to investigate removal efficiency of total nitrogen (TN) with respect to the draw solution (DS) such as NaCl and glucose. Permeability of FO membrane increased with increasing DS concentration. About 55% of TN removal efficiency was observed with the FO membrane using 1 M of NaCl of draw solution, but almost complete TN removal efficiency was achieved with 1 M of glucose of draw solution. During 24 h of filtration, there was no permeate flux decline with the FO membrane regardless of draw solution applied.

• Membrane Journal
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• v.30 no.1
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• pp.66-77
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• 2020

The current study focused on the effect of twisting hollow fibers (HFs) in a module during forward osmosis operation mode. Computational fluid dynamics simulation was employed for a straight HF module and twisted modules with five different angles to predict the mass transfer and observe the draw solution profile in terms of concentration and pressure. The simulation results showed that when the membranes were twisted, the concentration was distributed more evenly and the pressure at the module outlet increased gradually as the twisting angle increased. As pressure at the outlet increased, the fluid velocity inside the membrane decreased and the residence time of fluid increased, thereby facilitating mass exchange across the membrane. This is evidenced by a doubling of the ratio of water flux through the membrane in module flux when the HFs were twisted.

• Journal of Korean Society of Water and Wastewater
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• v.35 no.1
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• pp.93-100
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• 2021

Forward osmosis (FO) process is a chemical potential driven process, where highly concentrated draw solution (DS) is used to take water through semi-permeable membrane from feed solution (FS) with lower concentration. Recently, commercial FO membrane modules have been developed so that full-scale FO process can be applied to seawater desalination or water reuse. In order to design a real-scale FO plant, the performance prediction of FO membrane modules installed in the plant is essential. Especially, the flux prediction is the most important task because the amount of diluted draw solution and concentrate solution flowing out of FO modules can be expected from the flux. Through a previous study, a theoretical based FO module model to predict flux was developed. However it needs an intensive numerical calculation work and a fitting process to reflect a complex module geometry. The idea of this work is to introduce deep learning to predict flux of FO membrane modules using 116 experimental data set, which include six input variables (flow rate, pressure, and ion concentration of DS and FS) and one output variable (flux). The procedure of optimizing a deep learning model to minimize prediction error and overfitting problem was developed and tested. The optimized deep learning model (error of 3.87%) was found to predict flux better than the theoretical based FO module model (error of 10.13%) in the data set which were not used in machine learning.

• Membrane Journal
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• v.28 no.1
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• pp.45-54
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• 2018

This study is to find the optimum draw solution in fertilizer-drawn forward osmosis desalination. Considering osmotic pressure, solubility, and pH, 20 blended fertilizers were screened. Their performance were evaluated in terms of pure water permeate flux, reverse solute flux, and specific reverse solute flux for nitrogen, phosphorus, and potassium. The pure water permeate flux of blended fertilizers including KCl were relatively higher. The reverse solute flux and specific reverse solute flux for nitrogen of blended fertilizers containing ${NO_3}^-$ ion were relatively higher than those of the nitrate ion-free draw solution. Those for phosphorus, and potassium of blended fertilizers including $NH_4H_2PO_4$, and $KNO_3$ were relatively higher than those of the phosphorus-free, and potassium-free draw solution, respectively. The blended fertilizer of $NH_4H_2PO_4$ and KCl contains all of nitrogen, phosphorus and potassium which are essential elements of fertilizer, and has the relatively high water permeation flux and the low reverse solute flux for nitrogen, phosphorus, and potassium. Therefore, it is the most effective draw solution for fertilizer-drawn forward osmosis desalination.

• Membrane Journal
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• v.20 no.3
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• pp.222-227
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• 2010

The purpose of this study is to prepare forward osmosis (FO) membranes using a variety of cellulose-based polymers and to evaluate the performance of difference depending on each of the polymers and additives. Forward osmosis membranes based on cellulose acetate (CA) and cellulose triacetate (CTA) were prepared through phase inversion. The performance of FO membranes developed, such as flux and salt rejection, was compared under the osmotically- and pressure-driven conditions. In CA FO membranes, the execution time of solvent evaporation and membrane annealing induced the change in membrane performance. But the performance of CTA FO membrane was improved by using additives rather than annealing. Moreover, the flux of CTA FO membrane was $4.46\;L/m^2hr$ but that of CA/CTA FO membrane was $8.89\;L/m^2hr$ in FO mode. The CTA FO membrane with blending CA was more efficient to increase FO permeate flow rather than using a single polymer membrane.

• Membrane Journal
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• v.28 no.5
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• pp.368-377
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• 2018

The n-nitrilotris(methylene) phosphonic acid (NTPA) potassium salt was synthesized as a draw solute for forward osmosis. NTPA-4K, NTPA-5K and NTPA-6K were synthesized by varying the content of KOH added to NTPA and confirmed by $^1H$-NMR and $^{13}C$-NMR. The osmotic pressure, viscosity, water flux and reverse salt flux were measured to characterize the draw solute. In the forward osmosis process when distilled water was used as a feed solution and 0.5 M of NTPA-4K, NTPA-5K and NTPA-6K were used as a draw solution, the water flux was 35.8, 38.8 and 42.2 LMH, the reverse salt flux was 5.4, 6.9 and 7.4 gMH, respectively. It was confirmed that the water flux was lower than the conventional NaCl draw solution, but the reverse salt flux was much lower. In order to recover the diluted draw solution, nanofiltration was conducted. The results showed that the draw solute could be retained by above 90%.

• Membrane Journal
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• v.29 no.2
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• pp.111-121
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• 2019

An organic citrate series draw solute was synthesized using diethyl malonate for forward osmosis. The structure of the final compound potassium pentane-1,3,3,5-tetracarboxylate was confirmed by $^1H-NMR$ and $^{13}C-NMR$ analysis. Osmotic pressure, solubility, water permeability and reverse salt flux were measured for the properties of the draw solute. Forward osmosis results showed that the draw solute exhibited higher water flux than other draw solutes of trisodium citrate and tripotassium citrate. Reverse salt flux of all the organic daw solutes was much lower than that of NaCl. The osmotic pressure of the synthesized draw solute was 25% lower than that of NaCl. The solubility of the draw solute was 317 g/ 100 g water, which is 8.8 times higher than that of NaCl. A commercialized nanofiltration membrane was used for the recovery of the draw solute. The draw solute could be effectively recovered at low pressure.

• Membrane and Water Treatment
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• v.9 no.2
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• pp.129-136
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• 2018

In this contribution, the control of multivariable reverse osmosis (RO) desalination plant using proportional-integral-derivative (PID) controllers is presented. First, feed-forward compensators are designed using simplified decoupling method and then the PID controllers are tuned for flux (flow-rate) and conductivity (salinity). The tuning of PID controllers is accomplished by minimization of the integral of squared error (ISE). The ISEs are minimized using a recently proposed algorithm named as teacher-learner-based-optimization (TLBO). TLBO algorithm is used due to being simple and being free from algorithm-specific parameters. A comparative analysis is carried out to prove the supremacy of TLBO algorithm over other state-of-art algorithms like particle swarm optimization (PSO), artificial bee colony (ABC) and differential evolution (DE). The simulation results and comparisons show that the purposed method performs better in terms of performance and can successfully be applied for tuning of PID controllers for RO desalination plants.

• Membrane Journal
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• v.24 no.6
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• pp.453-462
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• 2014

Thin film composite (TFC) polyamide (PA) membranes were prepared on polyester (PET) nonwoven reinforced polysulfone supports for forward osmosis (FO) processes. PSF (polysulfone) supports were prepared via the phase inversion process from PSF casting solutions in dimethyl formamide (DMF) solvents (19 wt%) by using a PET nonwoven (thickness of $100{\mu}m$) as a mechanical reinforcing material for reverse osmosis (RO) membrane. The PSF support from 19 wt% of DMF/PSF casting solution showed sponge-like morphology and asymmetric internal structure. To reduce the internal concentration polarization in FO operation, thin ($20{\mu}m$ of thickness) nonwoven-supported PSF supports were prepared by using PSF/DMF casting solution (9~19 wt%). A desirable support structure with a highly porous sponge-like morphology were achieved from the thin nonwoven-supported PSF layer prepared with 9~12 wt% casting solution. A crosslinked aromatic polyamide layer was fabricated on top of each support to form a TFC PA membrane. The tested sample from 12 wt% of DMF/PSF casting solution presented outstanding FO performance, almost 5.5 times higher water flux (24.3 LMH) with low reverse salt flux (RDF, 1.5 GMH) compared to a thick nonwoven rainforced membrane (4.5 LMH of flux and 3.47 GMH of RSF). By reducing the thickness of the nonwoven and optimizing PSF concentration of casting solution, the morphology of the prepared membranes were changed from a dense structure to a porous sponge structure in the boundary area between nonwoven and PET support layer.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.11 no.3
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• pp.193-198
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• 2013

In general, boron recovery of 40-90% could be achieved by Reverse Osmosis (RO) membranes in neutral pH condition. As an emerging technology, Forward Osmosis (FO) membrane has attracted growing interest in wastewater treatment and desalination. The objective of this study is to evaluate the possibility of the boron removal in radioactive liquid waste by FO. In this study, the performance of FO was investigated to remove boron in the simulated liquid waste as the factors such as pH, osmotic pressure, ionic strength of solution, etc. The pH of feed solution is a major operating parameter which strongly influences to the permeation of boron and more than 80% of boron content can be separated when conducted at pH values less than 7. The water flux is not influenced but the boron flux and permeation rate tends to decrease in the low salt concentration of 1,000 mg/L. The boron flux increases linearly, but the permeation ratio of reducing boron is nearly constant even with changes in the draw solution concentration.