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Membrane and Desalination Technologies - TCE Moodle Website

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<strong>Desalination</strong> of Seawater by Reverse Osmosis 565<br />

membrane helps in better combating biofouling <strong>and</strong> raising the effective plant availability in<br />

view of the higher resistance of the spiral-wound configuration to mechanical blocking <strong>and</strong> of<br />

the PA polymer to biodegradation. Particularly in seawater desalination, higher RO process<br />

efficiency <strong>and</strong> recovery rates are realized by the development of the very high-rejection TFC<br />

membranes, which are resistant to compaction at high applied pressures <strong>and</strong> enable brine<br />

recovery in two-stage systems. Consequently, operation <strong>and</strong> project cost have decreased<br />

significantly due to the application of TFC PA membranes.<br />

2.3. <strong>Membrane</strong> Filtration Theory<br />

2.3.1. <strong>Membrane</strong> Transport<br />

Although the transport in the solution circulating in the space between the membranes is<br />

important, it is the ion <strong>and</strong> water transport in the membranes that determine the performance<br />

of membrane process. Theories used to characterize transport in the skin layer of membranes<br />

have been reviewed (10–16). Mechanistic <strong>and</strong> mathematical models proposed can be divided<br />

into three types: irreversible thermodynamics models; nonporous or homogeneous membrane<br />

models (such as the solution-diffusion [SD], SD-imperfection, <strong>and</strong> extended SD models); <strong>and</strong><br />

pore models (such as the finely porous, preferential sorption capillary flow [PSCF] <strong>and</strong><br />

surface force-pore flow models [SFPF]). Some of these descriptions rely on relatively simple<br />

concepts, whereas others are more complex <strong>and</strong> require sophisticated solution techniques.<br />

Models that adequately describe the performance of RO membranes are very important<br />

because these are needed in the design of RO processes. Models that predict separation<br />

characteristics also minimize the number of experiments that must be performed to describe a<br />

particular system. The transport models focus on the top thin skin of asymmetric membranes<br />

or the top thin skin layer of composite membranes because these determine fluxes <strong>and</strong><br />

selectivities of most membranes (17). Also, most of the membrane models assume equilibrium<br />

(or near equilibrium) or steady-state conditions in the membrane.<br />

2.3.2. Irreversible Thermodynamics Models<br />

Irreversible thermodynamics lead to the following expressions for solvent <strong>and</strong> solute flow:<br />

Jw ¼ Lp ðDP DPÞ; (6Þ<br />

Js ¼ Csð1 sÞJw þ DeDC: (7Þ<br />

DP <strong>and</strong> DP are transmembrane pressure <strong>and</strong> osmotic pressure across membrane, respectively;<br />

Cs <strong>and</strong> DC are average concentration of solute <strong>and</strong> solute concentration difference<br />

across membrane, respectively; D is the diffusivity <strong>and</strong> e is the porosity of the membrane;<br />

Lp is a coefficient; <strong>and</strong> s is a measure of the solute–water coupling within the membrane <strong>and</strong><br />

may often be treated as 1. The theory then characterizes the membrane by the parameters Lp<br />

<strong>and</strong> De, which may be measured by experiments other than RO <strong>and</strong> then used to quantify the<br />

performance of the membrane. A particular strength of this approach is its extension to<br />

multicomponent systems in which it can be used to predict membrane behavior. However, it<br />

does not elucidate the actual transfer mechanisms within the membrane.

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