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Steady-state coupled transport, through

Steady-State Coupled Transport of HNO3 Through a Hollow-Fiber Supported Liquid Membrane... [Pg.56]

The population balance simulator has been developed for three-dimensional porous media. It is based on the integrated experimental and theoretical studies of the Shell group (38,39,41,74,75). As described above, experiments have shown that dispersion mobility is dominated by droplet size and that droplet sizes in turn are sensitive to flow through porous media. Hence, the Shell model seeks to incorporate all mechanisms of formation, division, destruction, and transport of lamellae to obtain the steady-state distribution of droplet sizes for the dispersed phase when the various "forward and backward mechanisms become balanced. For incorporation in a reservoir simulator, the resulting equations are coupled to the flow equations found in a conventional simulator by means of the mobility in Darcy s Law. A simplified one-dimensional transient solution to the bubble population balance equations for capillary snap-off was presented and experimentally verified earlier. Patzek s chapter (Chapter 16) generalizes and extends this method to obtain the population balance averaged over the volume of mobile and stationary dispersions. The resulting equations are reduced by a series expansion to a simplified form for direct incorporation into reservoir simulators. [Pg.22]

In this paper we combine the approach of [6], which consists in solving the equations for the electric fields in the anode, cathode and the electrolyte under steady state conditions, with our own approximation of the electrochemical reaction and the transport of reactants. We solve a 2D problem for the Laplace equation coupled with a system of the convection-diffusion equations through use of the boundary conditions. Therefore om problem becomes non-stationary. We study the time period of about one horn and observe the formation of the C02 boundary layer and the variation of the Galvani potential caused by it. [Pg.142]

In packed-bed, flow-through electrodes, concentration and potential variation within the bed can also give more than one steady state. The convective transport equation with axial dispersion, coupled with Ohm s law for the electrode potential, was solved recently (418) by polynomial expansion and orthogonal collocation within the bed, to determine multiplicity regions. [Pg.321]

In the early FVM program codes, all the equilibrium variable values at the grid point, P, were simply calculated from the given parameterizations. However, in these steady state program codes the friction velocity is not known a priori but is an outcome of the iterative solution algorithm where the boundary values are coupled through the governing transport equations. [Pg.152]

Many researchers, proposing the LM processes for application, are based on the steady state of the system. Experimental and model simulation data show much higher mass-transfer rates through the HLM (for details see Chapter 5), with cadmium concentration in the carrier solution, reaching its maximum. At this stage, the both internal (extraction-backward-extraction distribution ratio) and external (coupling) driving forces motivate the cadmium transport in an optimal way. [Pg.56]

Szpakowska M, Nagy OB, Non-steady state vs. steady state kinetic analysis of coupled ion transport through binary liquid membranes. J. Membr. Sci. 1993 76 27-38. [Pg.68]

Electroosmotic effects also influence current efficiency, not only in terms of coupling effects on the fluxes of various species but also in terms of their impact on steady-state membrane water levels and polymer structure. The effects of electroosmosis on membrane permselectivity have recently been treated through the classical Nernst-Planck flux equations, and water transport numbers in chlor-alkali cell environments have been reported by several workers.Even with classical approaches, the relationship between electroosmosis and permselectivity is seen to be quite complicated. Treatments which include molecular transport of water can also affect membrane permselectivity, as seen in Fig. 17. The different results for the two types of experiments here can be attributed largely to the effects of osmosis. A slight improvement in current efficiency results when osmosis occurs from anolyte to catholyte. Another frequently observed consequence of water transport is higher membrane conductance, " " which is an important factor in the overall energy efficiency of an operating cell. [Pg.479]

Nitric acid removal from an aqueous stream was accomplished by continuously passing the fluid through a hollow fiber supported liquid membrane (SLM). The nitric acid was extracted through the membrane wall by coupled transport. The system was modeled as a series of (SLM)-continuous stirred tank reactor (CSTR) pairs. An approximate technique was used to predict the steady state nitric acid concentration in the system. The comparison with experimental data was very good. [Pg.56]

We consider a steady-state version of the GDL model described in Section 7.2, coupled to the membrane model and to the channel flow model developed in [3]. This a class of 1 + ID models, which consider the lateral transport of reactants to occur only within the flow fields with the MEA supporting only through-plane transport. A ID model for the molar fractions in the flow fields is coupled to a ID model for through-plane transport in the MEA. The MEA model dictates the local current density and hence the consumption of reactants and production of water in liquid and vapor forms these serve as forcing terms for the flow field equations. In turn, the flow field equations provide the boundary conditions for the MEA model, as described in Section 7.2. [Pg.290]

The model presented here is a comprehensive full three-dimensional, non-isothermal, singlephase, steady-state model that resolves coupled transport processes in the membrane, eatalyst layer, gas diffusion eleetrodes and reactant flow channels of a PEM fuel cell. This model accounts for a distributed over potential at the catalyst layer as well as in the membrane and gas diffusion electrodes. The model features an algorithm that allows for a more realistie representation of the loeal activation overpotentials which leads to improved prediction of the local current density distribution. This model also takes into aeeount convection and diffusion of different species in the channels as well as in the porous gas diffusion layer, heat transfer in the solids as well as in the gases, electrochemical reactions and the transport of water through the membrane. [Pg.304]

We discussed above solution of the PNP equations, which couple Poisson and diffusion problems to solve for the steady-state transport." ° The PNP theory is a mean-field theory where, like in the PB equation, the ions are assumed to be pointlike and uncorrelated. In addition, the surrounding solvent is treated as a dielectric continuum. These methods are thus adequate for studying transport through pores that are much larger than the size of the ions, but unsatisfactory for some of the most important ion channels in biology where the pore size is comparable to the ion size. Nevertheless, by incorporating physically reasonable diffusion constants and dielectric profiles, decent results can be obtained in some cases, and if the pores are larger, accurate results are possible. [Pg.268]

In state 4, the resting state, ATP arises from ADP and inorganic phosphate through a coupled reaction ( oxidative phosphorylation see below) here the small amount of endogenously formed ADP controls the overall reaction. If more ADP is provided, then more electrons are transported to oxygen per unit time, until, with excess of ADP in state 3, the maximum rate of electron transport is reached. In this last situation the steady concentrations are shifted in favor of the oxidized states. This example of biochemical regulation will be mentioned again in Chap. XIX. [Pg.198]


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Steady-State Transport

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