2019
DOI: 10.1021/acs.iecr.9b00139
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Optimization of Pressure-Retarded Osmosis with Hollow-Fiber Membrane Modules by Numerical Simulation

Abstract: We optimized the operating conditions for maximizing power production by the pressure-retarded osmosis (PRO) process using seawater as the draw solution and river (pure) water as the feed solution using a simulation algorithm developed in our previous work combined with the Complex optimization method. The calculated results showed that the maximum power production was 104 W/module, i.e., 18.7 kW/m 3 , under the optimum conditions. The optimum hydraulic pressure applied to the draw solution was slightly higher… Show more

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Cited by 12 publications
(17 citation statements)
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“…With the addition of GO into the membrane substrates, the S values decline sharply with TFN-0.25GO exhibiting the smallest S value, 726 μm. Generally, membranes incorporating GO have high A values and have lower S values, which is due to the improved hydrophilicity and reduced ICP effect [ 3 ].…”
Section: Resultsmentioning
confidence: 99%
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“…With the addition of GO into the membrane substrates, the S values decline sharply with TFN-0.25GO exhibiting the smallest S value, 726 μm. Generally, membranes incorporating GO have high A values and have lower S values, which is due to the improved hydrophilicity and reduced ICP effect [ 3 ].…”
Section: Resultsmentioning
confidence: 99%
“…It was hypothesised that, when the applied pressure was increased, the flux decreased and the external concentration polarization (ECP) became less severe on the draw side of the membrane, resulting in the increase of salt crossover to the FS as the concentration of the DS against the membrane surface is higher. The salt crossover will also increase when membranes start to deform due to increased pressure [ 3 ]. Nevertheless, the J s /J w shows good stability for TFN-0.1GO and TFN-0.25GO, explaining how good performance could be maintained despite the increasing J s value.…”
Section: Resultsmentioning
confidence: 99%
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“…Known theoretical expressions, i.e., Equations (13) and (15), for cases of kd→∞ and kf→∞, and the presented ones, Equations (16) and (17), were applied for prediction of the values of the structural parameter, S. These were conducted using the measured water flux data under the previously specified operating conditions. There has been no direct, acceptable measurement's method for the determination of the structural parameter until now.…”
Section: Prediction Of the Structural Parametermentioning
confidence: 99%
“…Equations (13) and (15) define the value of the structural parameter as a function of more easily determinable intrinsic parameters. These include A and B as well as the water flux rate, Jw without external transfer resistances, and the diffusion coefficient in the bulk fluid phase, D. This procedure does not involve any external mass transport resistances.…”
Section: Prediction Of the Membrane Structural Parametermentioning
confidence: 99%