Modeling of pervaporation processes controlled by concentration polarization
Introduction
Pervaporation (PV) is presented in literature as an economic alternative for saving energy costs when combined in hybrid pervaporation–distillation processes, as reported by Huang (1991), and Jonquières et al. (2002). Azeotropic, close boiling- and high boiling-point mixtures are examples of said hybrid applications.
Solute removal by pervaporation is nowadays a common industrial application (Néel, 1997). One of the most famous plants, owing to its size, is the Betheneville plant for ethanol dehydration (France). In this industrial pervaporation application, plates-and-frames modules provided with hydrophilic polymeric membranes (commonly PVA) are used (Ho & Shirkar, 1992).
Although the number of works dealing with PV opportunities in the last decades is enormous, most part use simplified mathematical models to predict the separation flux (Ahmad, Lau, Abu Bakar, Abd. Shukor, 2005; Cao & Henson, 2002; Urtiaga, Gorri, & Ortiz, 1999). More recently, scarce contributions have considered non-isothermal description of the involved phenomena, under steady state conditions, to determine optimum operation. The works of Han, Li, Chen, and Wickramasinghe (2002), and Eliceche, Daviou, Hoch, and Ortiz (2002) can be mentioned as representative examples.
Simulation of the system behavior is an important tool in the design and optimization of an industrial pervaporation plant (Biegler, Grossmann, & Westerberg, 1997). The aim of this study is to develop a general mathematical model that gives a satisfactory description of PV separations under non-isothermal and non-stationary conditions that are usually encountered in industrial applications and for applications governed by polarization concentration. The equation-oriented simulation software g-PROMS® has been selected to solve the problem and to obtain results under different operation conditions. The model has been tested against experimental results of the dehydration of industrial cyclohexane obtained in a pilot plant that uses plates-and-frames membrane modules (Ortiz, Urtiaga, Ibáñez, Gómez, & Gorri, 2006).
Section snippets
Mathematical modeling of the PV process
Description of a PV operation working in batch mode under non-isothermal and non-stationary conditions needs the solution of simultaneous first order ordinary equations, which are mass and heat balances, together with algebraic expressions to obtain the transport flux across the pervaporation system. Hydrodynamic influence over the process performance requires a correct geometrical description of the membrane module.
Method of solution
The set of differential and algebraic equations presented in the mathematical model were solved simultaneously using the equation-oriented simulation software g-PROMS®. The integration of this model required additional information in the form of property correlations, geometrical parameters and mass transport correlations. In addition, the suitable values of the shape parameters ‘a’ and ‘b’ of Eqs. (1) and (3), respectively must be determined for the membrane module used. A set of possible
Case study
To facilitate understanding of model applicability, the performance of the pervaporation process at a pilot plant scale studied satisfactorily in the R&D facilities of the Spanish company Dynasol Elastomeros S.A. was selected as a case of study. A PV pilot plant set-up comprising a plate-and-frame PLC-06 CM-Celfa module (total membrane area of 3 m2), with similar characteristics to an industrial installation, coupled to a 20 l feed tank was installed and conditioned to operate in batch mode. The
Simulation results and discussion
After integrating the mass and heat balances, Eqs. (1), (2), (3), (4), (5), (6), (7), (8), (9), (10), (11), (12), (13), (14), (15), (16) with the g-PROMS® software tool, simulated results for different conditions were obtained. Table 4 shows model details in terms of the total number of equations, variables and parameters involved. Table 5 compiles the values of the transport and the temperature dependent variables obtained for a flow rate of 5.00 × 10−5 m3 s−1 and initial solute content in feed of
Conclusions
In this study, a mathematical model has been developed able to describe the behaviour of pervaporation processes with strong control of concentration polarization under common non-isothermal and non-stationary conditions using plates-and-frames membrane modules. For this purpose, module geometry and mass and heat transport rates in the system were incorporated. Existing correlations that relate the Sherwood and Nusselt numbers to the Reynolds, Schmidt and Prandtl numbers were used and fitting
Acknowledgements
Financial support from projects BQU2002-03357 and PTR1995-0588-OP is gratefully recognised.
The authors are also grateful to Dynasol Elastómeros for the kind support to the experimental work (Gajano-CANTABRIA).
References (35)
- et al.
Integrated CFD simulation of concentration polarization in narrow membrane channel
Computer and Chemical Engineering
(2005) - et al.
Modeling of spiral wound pervaporation modules with application to the separation of styrene/ethylbenzene mixtures
Journal Membrane Science
(2002) - et al.
Optimisation of azeotropic distillation columns combined with pervaporation membranes
Computer and Chemical Engineering
(2002) - et al.
Dynamic modelling and simulation of plate heat exchangers under milk fouling
Chemical Engineering Science
(2000) - et al.
Comparative behaviour of hydrophilic membranes in the pervaporative dehydration of cyclohexane
Journal Membrane Science
(2006) - et al.
Optimum design of PV processes for dehydration of organic mixtures
Desalination
(2006) - et al.
Heat transport in the membrane distillation process
Journal Membrane Science
(1998) - et al.
Computer simulation and optimization of pervaporation process
Desalination
(2002) - et al.
Modeling of multicomponent pervaporation for removal of volatile organic compounds from solute
Journal Membrane Science
(1994) - et al.
Pervaporation dehydration of ethanol-water mixtures with chitosan/hydroxyethylcellulose (CS/HEC) composite membranes II. Analysis of mass transport
Journal Membrane Science
(2002)
Industrial state-of-the-art of pervaporation and vapour permeation in the western countries
Journal Membrane Science
Heat transfer in pervaporation
Journal Membrane Science
Simulation and process design of pervaporation plate-and-frame modules to recover organic compounds from waste solute
Transactions of the Institution of Chemical Engineering
Detailed mathematical modelling of membrane modules
Computer and Chemical Engineering
Heat transport and membrane distillation coefficients in direct contact membrane distillation
Journal Membrane Science
Pervaporation: Importance of concentration polarization in the extraction of trace organics from solute
Journal Membrane Science
Modeling of the concentration-polarization effects in a pervaporation cell with radial flow
Separation and Purification Technology
Cited by (12)
Application of computational fluid dynamics technique in pervaporation processes
2021, Current Trends and Future Developments on (Bio-) Membranes: Techniques of Computational Fluid Dynamic (CFD) for Development of Membrane TechnologyDewatering of 2,2,3,3-tetrafluoropropan-1-ol by hydrophilic pervaporation with poly(vinyl alcohol) based Pervap™ membranes
2017, Separation and Purification TechnologyCitation Excerpt :This process is particularly appropriate for solvents dehydration [3,11,13,15,17,26,27], separation of organic–organic mixtures [28–31], and organic recovery or removal from dilute aqueous solution [23,24,32–39]. However, pervaporation performance is often limited due to membrane fouling and aging, concentration polarization, and the presence of non-volatile solutes and electrolytes in feed mixture [40–53]. Over the last decade only few papers were published focusing on application of pervaporation process for the dehydration of TFP [3,54–58].
Solution diffusion modeling of a composite PVA/fumed silica ceramic supported membrane
2016, Chemical Engineering and Processing: Process IntensificationCitation Excerpt :Furthermore, a precise model plays a crucial rule in pervaporation scale up. Many researchers [23–30] attempted to model permeation behavior of polymeric membranes. Transport model through dense membranes are based on irreversible processes thermodynamics [31], Maxwell–Stefan theory [32] and Fick’s law [33].
Screening of pervaporation membranes with the aid of conceptual models: An application to bioethanol production
2015, Separation and Purification TechnologyCitation Excerpt :The main model assumptions are: (i) negligible pressure-drop along either side of the membrane surface, (ii) plug-flow along the retentate side of the membrane, (iii) cross-flow along the permeate side of the membrane. In case of a detailed design, mass transport phenomena under non-isothermal and non-stationary conditions must be taken into account [43]. It must be emphasized that once the operating temperature is set at a value near the maximum working temperature of the membrane material (i.e., 90 °C), component fluxes are a function of retentate mole fractions.
Vapour permeation modelling
2015, Pervaporation, Vapour Permeation and Membrane Distillation: Principles and ApplicationsCFD simulation of water removal from water/ethylene glycol mixtures by pervaporation
2011, Chemical Engineering JournalCitation Excerpt :Calculation of mass transfer coefficients by this method should be validated using experiments. A mathematical model containing mass transfer under non-isothermal conditions was developed with strong contribution of polarization concentration by Gómez et al. [11] to describe the behavior of a plate-and-frame PV membrane module. Simulation results showed temperature and flow rate significantly influence the liquid mass transport coefficient.