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Article

Bioinspired Fractal Design of (Reverse) Electrodialysis Stacks

Retired, formerly with REDstack B.V., The Netherlands
Processes 2025, 13(11), 3720; https://doi.org/10.3390/pr13113720
Submission received: 2 October 2025 / Revised: 17 October 2025 / Accepted: 5 November 2025 / Published: 18 November 2025

Abstract

This paper offers a perspective on the future of energy harvesting through reverse electrodialysis (RED), particularly in systems using seawater and river water as feed solutions. Although significant progress has been made in membrane development and in optimizing flow configurations—through the introduction of alternative spacers and profiled membranes that enhance mixing and reduce polarization—the overall advancement of RED technology has stagnated for nearly a decade. A persistent negative scale factor continues to favor small-scale applications while limiting the feasibility of large-scale power generation. We propose that renewed progress may arise from fractal-inspired system architectures, in which the efficiency of small RED units is preserved and amplified through hierarchical organization and cooperative operation of many such elements. Two conceptual approaches are outlined. The first explores fractal geometries within the intermembrane compartments, focusing particularly on the river water compartment, which typically exhibits the highest ohmic resistance. The second envisions the modular aggregation of numerous cross-flow stacks into large-scale assemblies whose overall performance scales constructively with the number of units. Together, these ideas suggest a new design paradigm in which scalability and efficiency are reconciled through fractal system organization.

1. Introduction

There are a handful of techniques for converting the Gibbs free energy contained in salinity gradients into usable electrical energy. The most important are pressure-retarded osmosis (PRO) and reverse electrodialysis (RED) [1]. PRO is based on the selective permeability of water through membranes, while RED uses membranes capable of transporting ions. In this paper, we focus on RED and also highlight the possibilities for electrodialysis (ED). RED is performed in stacks consisting of alternating anion exchange membranes (AEMs) and cation exchange membranes (CEMs). Membranes are separated from each other by porous structures known as spacers, which provide access to the feedwaters, i.e., a low-concentration solution (LC) and a high-concentration solution (HC). The spacers between the membranes have a dual purpose: they supply the feedwater and ensure mixing within the feedwater compartments. The concept of RED is shown in Figure 1a. The rinse solution contains the salts FeCl2 and FeCl3 dissolved in a NaCl bulk solution. The redox couple Fe2+/Fe3+ ensures that the ion current in the stack is converted into an electrical current at the electrodes.
Energy can also be harvested from salinity gradients if only one type of ion exchange membrane (IEM) is available. The concept was described by Clampitt and Kiviat in 1976 [2] and is shown in Figure 1b. In principle, such cells can be stacked as proposed in Figure 1c. Because the Ag/AgCl electrodes are active parts of the process, the process should be reversed by switching the feedwater supplies after some time. It is clear that silver electrodes are costly, pose a threat to the environment, and also present challenges to both performance and long-term stability. Instead the combination of inert electrodes with a redox couple, capacitive electrodes can also be used, as shown in Figure 1d. Because the activated carbon of these electrodes becomes saturated after a while, the current direction must be periodically reversed, which is accomplished by switching the feedwaters [3]. Capacitive electrodes can also be used if only one type of IEM is available (Figure 1e). Such a system was been described by Wu et al. [4]. In theory, such a system can also be stacked (Figure 1f); however, this has not been reported anywhere in the scientific literature.
Figure 1. (a) A RED stack with only one cell pair (the part in the dashed square) operating with river water and seawater. Commercial stacks include hundreds or thousands of these cell pairs. Symbols in the membranes represent fixed charges (e.g., ~SO3 in the CEM and ~NR3+ in the AEM). The direction of the water flow through the membranes is assigned to the normal osmotic flow but may be in the opposite direction if the contribution of electro-osmosis exceeds this. The platinum electrodes are flushed with a solution of an FeCl2/FeCl3 mixture in a NaCl bulk. (b) The concentration cell with only one CEM. The Ag/AgCl electrodes act as chloride source and drain. Cathode: AgCl + e → Ag + Cl; anode: Ag + Cl → AgCl + e. (c) A stack with only CEMs. The repeating unit is the part within the dashed square. The AgCl/Ag/AgCl electrode can be considered as an inorganic pseudo-membrane [5]. (d) A capacitive RED stack (cRED). (e) A cRED stack with only one CEM. (f) A stack with only CEMs using capacitive electrodes.
Figure 1. (a) A RED stack with only one cell pair (the part in the dashed square) operating with river water and seawater. Commercial stacks include hundreds or thousands of these cell pairs. Symbols in the membranes represent fixed charges (e.g., ~SO3 in the CEM and ~NR3+ in the AEM). The direction of the water flow through the membranes is assigned to the normal osmotic flow but may be in the opposite direction if the contribution of electro-osmosis exceeds this. The platinum electrodes are flushed with a solution of an FeCl2/FeCl3 mixture in a NaCl bulk. (b) The concentration cell with only one CEM. The Ag/AgCl electrodes act as chloride source and drain. Cathode: AgCl + e → Ag + Cl; anode: Ag + Cl → AgCl + e. (c) A stack with only CEMs. The repeating unit is the part within the dashed square. The AgCl/Ag/AgCl electrode can be considered as an inorganic pseudo-membrane [5]. (d) A capacitive RED stack (cRED). (e) A cRED stack with only one CEM. (f) A stack with only CEMs using capacitive electrodes.
Processes 13 03720 g001
Figure 2 shows the various flow options through the compartments [6]. For co- and counterflow, supply through channels within the stack perpendicular to the membranes is necessary, as is the case for the point-to-point cross-flow stack. A new feature is the cross-flow stack with inflow from the sides, as developed by REDstack B.V. (Heerenveen, The Netherlands). This stack is marketed in a round housing [7]. The stacks described in the literature for RED are all plate-and-frame types. However, spiral-wound modules have been developed for ED [8] and for electro-deionization (EDI) [9] but have not yet been applied to RED until now.
The two most important parameters that describe the behavior of a RED stack include the generated power density and the efficiency of the process. The net power density (Pdnet) is the produced electrical power (Pel) minus the hydrodynamical losses (Phydr) per square meter active membrane (A) (both AEM and CEM together).
P d n e t =   P e l P h y d r A             [ W · m 2 ]
The net efficiency is achieved from the net power Pnet and the theoretical maximum energy of the reversible mixing process (Pth).
Y n e t = P n e t P t h             [ ]
Especially with river water and seawater as feedwaters, it is more convenient to use, instead of the efficiency, the net river water yield Znet—the net produced energy (Wnet) per volume river water (Vr):
Z n e t = W n e t V r             [ J · m 3 ]
In optimizations where both power density and yield play a role, the net response product RPZ is a useful parameter:
R P Z = P d n e t · Z n e t
Sometimes, a power density is assigned to a single membrane. This Pdmem can be approximated by measuring the membrane areal resistance Ra and the membrane voltage E, also known as the open circuit voltage (OCV) under conditions to be specified.
P d m e m = E 2 4 R a = E · i s c 4 = E 1 / 2 · i 1 / 2
Here, isc stands for the short-circuit current, E1/2 for half of E, and i1/2 for half of Isc. Measuring isc can sometimes be problematic. In practice, the OCV is often measured first, and then, the measuring circuit is loaded in such a way that the membrane potential drops to half. At that time, the current is i1/2. In particular, measurements on small membrane areas can be confusing. Derkenne et al. found a strong negative relation between the membrane area and power density [10]. This effect also probably plays a role in measurements on the extremely small openings in micro- and nanopores, where sometimes extraordinarily high densities have been reported up to 106 W/m2.

2. Higher Power Density and Efficiency—Background

Extensive research into power density has been conducted with feedwaters containing NaCl solutions of 1 and 30 g/L. Vermaas et al., applying 100 μm spacers and 50 μm membranes, harvested 1.2 Watts per m2 membrane (Pdel = 2.2 W/m2 and Pdhydr = 1.0 W/m2) with an efficiency of about 30% [11]. To put this into perspective, a cell pair has a thickness of 300 μm. A cube-shaped stack of 10 × 10 × 10 cm3 (about 1 kg excluding the housing, etc.) can contain 3.33 m2 of these cell pairs or 6.67 m2 membranes and delivers, with Pdnet = 1.2 W/m2, a net power of 8 Watts. For comparison, Tour de France cyclist Pogačar produced a power of 6.9 Watts per kg body weight for 15 min toward the end of a 5 h long Tour de France stage [12]. The question is how we can achieve better performance with a RED stack. Solutions can be found in optimizing the stack design, improving the membranes used, and developing new feed channel designs with profiled membranes. In this section, we will review several of these options as described in the literature; in the next section, we will introduce the fractal concept.

2.1. Stack Optimization

An important point with the classic construction of RED and ED stacks according to the plate-and-frame method is that the ions that only diffuse through the membranes at the end of a flow channel must have completed a journey through the entire compartment along with the solvent at the price of substantial hydrodynamic losses. It is therefore clear that the scale has a negative influence on performance. This effect was investigated by Veerman et al. [13]. They modeled a stack in co-flow operation that was successively equipped with four different combinations of spacers and membranes. For the spacers, ideal spacers were used (i.e., spacerless compartments) and real woven spacers; for the membranes, ideal membranes (without electrical resistance and 100% permselective) and real commercial membranes (Qianqiu) were selected. Maximum net power density (Pdnet) was achieved by adjusting the thickness of both (HC and LC) flow channels and both flow rates. Table 1 shows the net power density for the four cases for stacks with feedwater channel lengths of 0.01 m, 0.1 m, and 1 m. It is clear that the scale negatively impacts the RED performance.
Scale also has a large influence on the required thickness of the flow channels. Table 2 shows the results of the fit procedure for stacks with flow channels of 0.01 m, 0.1 m, and 1 m. The first three data columns are achieved when the net power density (Pdnet) is maximized, and the last three columns are the result of maximizing the response product (RPZ) [14]. Table 2 shows that the response product is more suitable than the net power density as an optimization parameter. The river water yield then remains more or less the same with a changing feedwater length. Furthermore, it appears that much thinner spacers can be used if shorter feedwater channels are applied.
Going from a flow channel of 1 to 0.1 m while maintaining the same membrane width, the individual membrane surface area decreases by a factor of 10. To achieve the same total membrane surface area, the stack must therefore have 10 times more cell pairs. The membranes retain the same thickness, but the spacers become approximately 3 times thinner, resulting in a stack height increase of approximately 5 times.
Although these considerations are derived for a co-flow fed RED stack, they are also indicative for counter- and cross-flow stacks. For modern cross-flow stacks (with side-flow feed, such as the stacks from REDstack B.V. (Figure 2d) for example), the lengths of the seawater and river water channels are independent. Because the seawater compartments can be thicker due to the high conductivity of seawater, they can also be longer than those of the river water. In practice, the question arises whether an excess of seawater is even desirable because the stack model does not account for the effort required to pre-purify and transport the seawater. In practice, this may even mean that the opposite (ΦSR < 1) is more advantageous. A final consideration is that extreme miniaturization will defeat the purpose because part of the membrane surface is inactive due to the seals present. Asymmetric stacks also have the disadvantage that capacitive electrodes cannot be used (as in cRED) because this needs the periodically feedwater switch.

2.2. Classical Ion Exchange Membranes

Ion exchange membranes (IEMs) were originally based on organic polymers. Homogeneous IEMs contain chemically bonded anions such as ~NR3+ in an AEM or cations such as ~SO3 in a CEM; in contrast, heterogeneous IEMs contain organic acids or bases mixed with a neutral polymer matrix. Abidin et al. summarized the properties of a number of commercial ion exchange membranes (17 CEMs and 18 AEMs in their Table 2) [15]. Figure 3 shows the results of the membrane power density Pdmem of these membranes as a boxplot. Concerning the CEMs, there was one membrane with excellent properties: Nafion-117 with Pdmem = 4.2 W/m2. The average value for the CEMs without this Nafion-117 was 1.3 W/m2 for a range between 0.4 and 2.3 W/m2. The average of the AEMs was 0.9 W/m2 for a range between 0.3 and 1.5 W/m2.

2.3. New Membranes

In 2010, Kim et al. published their experiments with ion-selective nanochannels etched in a silica chip [16]. They achieved an electrical power density of 7.7 W/m2 with a concentration ratio of 1000. This power density was much higher than was possible with classical membranes. This result triggered researchers all over the world to improve this value with nanochannels in other materials. In 2013, Siria et al. published a paper describing the ion conductivity in a single boron nitride nanotube [17]. A huge power density was predicted based on the measured i–E curve. A value of 6000 W/m2 was estimated with solutions with high pH (pH 9.5) and a high concentration ratio (CHC/CLC) of 1000. However, for conditions more similar to Blue Energy conditions (seawater with river water), i.e., pH = 5.5 and a concentration ratio of 30, the power density was only 20 W/m2. A few years later, Feng et al. published a paper in which an extraordinary power density of 106 W/m2 was reported [18]. Measurements were performed on a single nanopore in a MoS2 substrate.
Since then, there has been a vast search for new materials for IEMs. In particular, two-dimensional materials are good candidates. Examples are graphene, hexagonal boron nitride, transition metal dichaicogenides, mono-elemental Xenes, and covalent organic frameworks [19,20]. For the year 2024, we found 19 new membranes, listed in Table 3. It is remarkable that there are only two AEMs among them, both with good but not excessive properties.
The performance of a classical RED stack, according to Figure 1a, is greatly influenced by the less-performing membrane. The combination of an extremely good CEM with a normal AEM will therefore add little to the overall performance. In contrast, an item of equipment that consists of a single membrane (such as in Figure 1b,c) will, however, experience the limitations that have been outlined in Table 1, even when it concerns an excellent membrane. For a stack of 10 × 10 cm2, a power density of 19 W/m2 is a theoretical limit that is not to be crossed. However, there is another limitation: the performance of the electrode system. In all reported tests of nanopores, relatively large Ag/AgCl electrodes were used, together with a single micropore or with a very small membrane. In these cases, the power density was not limited by the electrode system. However, for practical applications, the electrode area should be equal to the individual membrane area, as seen in Figure 1b,c. This implies that the resistance of the electrode system (capacitive or Ag/AgCl) plays the same role in performance as the membranes. Little is currently known about the behavior of these electrode systems at high current densities, and therefore, the application of CEM only will still face many challenges. So, some skepticism about highly claimed power densities in nano power generation (NPG) is desirable. Wang et al. reported shockingly low performances for this technique, studying operation on a larger scale [40]. The authors estimate a power density of less than 0.1 W/m2 in combination with a net specific extractable energy (SEEnet) of less than 0.025 kWh/m3.

2.4. Profiled Membranes

The task of spacers in RED and ED is to keep the membranes at a distance from each other and thus create a fluid channel. Moreover, the spacer also serves as a mixing promoter. However, the better the stirring function, the greater the pressure losses. Spacers are, in most cases, woven or extruded structures that are not ion-conductive, which results in an increased electrical resistance due to the so-called shadow effect. Instead of spacers, feed channels can also be created by applying profiles in or on the membranes. Profiled membranes do not have this shadow disadvantage and also open up a wide range of possible shapes for the flow channels. Profiled membranes are also known as micro-structured, corrugated, or patterned membranes. Many structures are implemented in practice, for example, with chevrons [41], ridges [42], pillars [43], waves [44], or other objects [45,46,47]. The aim is always to combine a low electrical resistance with a low hydrodynamic resistance and a high power density. The function as a mixing promoter must also be taken into account with the aim of minimizing the concentration polarization. Computational fluid dynamics (CFD) shows the advantages of profiling [48,49,50,51].
Nikonenko et al. [52] launched the technique of membrane profiling in 2008 for electrodialysis, and more or less at the same time, a publication by Larchet et al. appeared in which this application was compared with other methods of improving the flow channels [53]. Membranes were profiled by hot pressing the heterogeneous commercial MA-40 AEM. Compared to woven or extruded spacers, profiled membranes have a number of advantages. Vermaas et al. introduced profiled membranes in the RED technology [42]. They used the commercial heterogeneous membranes Ralex CMH and AMH (Mega a.s. Czech Republic). The main conclusion was that the hydrodynamic resistance decreased significantly due to the profiling. This is an important result with a view to future increases in scale. Also with hot pressing, using the same membranes, Pawlowski et al. succeeded in producing chevron-profiled, as well as pillar-profiled membranes, for RED [43]. It was found that the stack with chevrons delivered the highest power density, which was attributed to a better mixing in the compartments.
Initially, membrane profiling was only performed by hot pressing, but in 2016, Seo et al. published their experiments with 3D-printed anion exchange membranes by means of photoinitiated free radical polymerization followed by quaternization [54]. The membrane produced in this way was found to have a lower ionic resistance than unprofiled membranes with the same effective thickness. A third method to pattern membranes is casting. Güler et al. prepared, in this way, a CEM and an AEM for use in RED [44], whereas Liu et al. used membrane casting for improving their microbial reverse-electrodialysis cells [55]. Gurreri et al. introduced screen printing as a method to apply profiling [56]. By applying a cross-linked resin to an existing commercial membrane, two different types of profiling were applied in this way, namely overlapped crossed filament (OCF) profiling and pillar profiling.

3. Fractal Design—New Concepts

As demonstrated in the previous section, the development of reverse electrodialysis (RED) appears to be constrained by a negative scale factor, which limits its potential for large-scale implementation. Consequently, alternative and non-conventional design strategies must be explored. In this section, we introduce two novel concepts, both inspired by fractal design principles: one in which the intermembrane spaces are structured fractally, and another in which individual stacks are arranged in a fractal configuration to form an integrated, larger-scale system.
A fractal system is characterized by a structure that is repeated in smaller formats inside that structure. This multiplication can be repeated a limited number of times in physical systems and even an infinite number of times in mathematical models [57]. Fractal systems for mass transfer are common in animals and plants. Examples include the human lungs, which are fed via the trachea, branching into the bronchi and the bronchioles, and the alveoli, where gas exchange occurs. Blood vessels in the body and in the placenta are also examples of fractal systems, as well as the roots and branches of trees. It is therefore not surprising that fractal systems are also applied in chemical engineering [58].

3.1. Fractal Profiled Membranes

The first step towards the study of fractal systems in the context of RED technology was taken by Veerman et al. [1,59]. They designed a stack in which the feed channels are created by applying profiles in a membrane. Figure 4 shows the concept.
Figure 4. A RED cell with fractal-profiled membranes [13]. Feed channels are pressed into the membranes (thickness 0.8 mm) until a depth of 0.6 mm. Reactor channels are pressed with a depth of 0.1 mm. Flows in the feed channels are indicated in red (for river water) and blue (for seawater); flows through the thin reactor channels are not shown. All cell dimensions are arbitrary (for illustration only). In this design, all channels are placed within the membranes, realized with one of the profiling techniques (hot pressing, UV curing, screen printing, or casting). A proven technique is hot pressing of the heterogeneous Ralex membranes [42]. The thickness of the Ralex CEM is 459 μm when dry and 714 μm when wet (Table 4). Reproduced with permission from [13]. Copyright (2011) Elsevier.
Figure 4. A RED cell with fractal-profiled membranes [13]. Feed channels are pressed into the membranes (thickness 0.8 mm) until a depth of 0.6 mm. Reactor channels are pressed with a depth of 0.1 mm. Flows in the feed channels are indicated in red (for river water) and blue (for seawater); flows through the thin reactor channels are not shown. All cell dimensions are arbitrary (for illustration only). In this design, all channels are placed within the membranes, realized with one of the profiling techniques (hot pressing, UV curing, screen printing, or casting). A proven technique is hot pressing of the heterogeneous Ralex membranes [42]. The thickness of the Ralex CEM is 459 μm when dry and 714 μm when wet (Table 4). Reproduced with permission from [13]. Copyright (2011) Elsevier.
Processes 13 03720 g004
Table 4. Properties of Ralex membranes.
Table 4. Properties of Ralex membranes.
Ralex
Membrane
IECPerm-SelectivityRareaSwelling DegreeThickness
Dry
Thickness
Wet
meq/g dry%Ω∙cm2%μmμm
AMH-PES1.9794.77.6656 764
CMH-PES2.3489.311.3331450714
The conductivity of seawater is much higher than that of river water, and the extent to which this system is useful for both feedwaters is questionable. In addition to the inlet concentrations, the outlet concentrations must also be considered. Assuming inlet concentrations of 1 and 30 g/L and a salt transport of 4 g/L, this results in outlet concentrations of 5 and 26 g/L.
Figure 5 shows the areal resistances at three locations through the membrane: through the entire unprofiled membrane (A), through the thin membrane with the deep feed channel (B), and through the slightly compressed membrane with a thin water layer (C). For river water, route C appears to be more advantageous, but for seawater, this advantage disappears entirely. The conclusion is therefore that a stack can be equipped with these fractal membranes for the river water compartment, but for the seawater compartment, it is more practical to use either a traditional woven spacer or one of the profiled membranes, as described in Section 2.4.
Based on Figure 4, the question is how this design can be applied to a membrane in a cross-flow stack. Figure 6b shows a design with very deep feed channels (colored orange) and shallow channels in the reactor part (blue). The feed channels are adapted to the local flow rate, resulting in a wide inlet as the channel gradually narrows; the reverse is true for the outlet channels. Figure 6c is a slight variation on this. It may be necessary to add a few support pillars to the feed channels.
This idea is further elaborated in Figure 7. A Ralex CEM (CHM-PES) measuring 15.5 × 5.5 cm2 was used, with one segment shown. The membrane accommodates 10 of these segments. Assuming a wetted thickness of 0.8 mm, feed channels were pressed into the membrane to a depth of 0.6 mm, while the reactor section has a depth of 0.1 mm. The calculations show that hydraulic losses are very low.

3.2. Fractal Stacks

Instead of applying the fractal concept at membrane level, a more obvious option is to apply it to the entire stack. Figure 8a shows such a fractal stack, composed of 16 classical RED stacks. For clarity, the feeder channels have been omitted. These are visible in the top view in Figure 8b. These channels do take up a large part of the space, and Figure 8c shows that the feeder channels can be made considerably thinner.
Furthermore, the compartments for seawater can be thicker and longer than those for river water because the conductivity is considerably higher than that of river water. The flow rates for river water and seawater can also differ in an optimized design. Figure 8d shows that these asymmetric stacks can be stacked in the same way.

4. Conclusions and Outlook

Many processes in chemical engineering achieve optimal efficiency at large scales, whereas others exhibit superior performance at small scales. Reverse electrodialysis (RED) belongs to the latter category. Bioinspired fractal designs offer new opportunities to combine high power output with high energy efficiency. A central challenge, however, lies in the integration of two fluid flows with the associated electrical circuitry. Potential solutions can be developed at both the membrane and stack levels. Such design principles may also benefit related electrochemical separation technologies, including conventional electrodialysis (ED).
The practical performance of systems employing fractally profiled membranes will depend on several interrelated factors. Owing to the very narrow reactor channels, the electrical resistance of the river water compartment is expected to be substantially lower than in stacks using conventional spacers or traditional membrane surface patterns. Moreover, the membranes themselves must exhibit low intrinsic electrical resistance. Some degree of hydrodynamic mixing within the channels is required to mitigate concentration polarization, while the fabrication of these membranes demands high precision to ensure consistent channel thickness and uniform flow distribution.
Fractal stack configurations are inherently more robust. Most laboratory-scale experiments employ stacks with membrane dimensions of approximately 10 × 10 cm2, and similar performance can be anticipated when a large number of these units are combined in a fractal arrangement. Smaller-scale configurations are likely to face technical limitations. Ultimately, practical stack design must also accommodate tie rods, seals, and flow routing to ensure that each side of the membrane stack handles only one type of feedwater. Considerable potential still exists for performance enhancement through asymmetric configurations, in which the river water path is shorter than that of seawater, the spacers in the river water compartments are thinner, and the flow rates of both streams are independently optimized. The conceptual foundation for such optimization has already been established in our previously published and validated process model [1].

Funding

This research received no external funding.

Data Availability Statement

The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.

Acknowledgments

This work was facilitated by REDstack B.V. in The Netherlands. REDstack B.V. aims to develop and market RED and the ED technology. The author would like to thank his former colleagues from the REDstack company for their part in fruitful discussions.

Conflicts of Interest

Author J.V. was formerly employed by REDstack B.V. REDstack B.V had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Abbreviations

AEMAnion exchange membrane
CEMCation exchange membrane
CFDComputational fluid dynamics
cREDCapacitive RED
EDElectrodialysis
HCHigh-concentration feedwater
IEMIon exchange membrane
LCLow-concentration feedwater
OCFOverlapped cross filaments
REDReverse electrodialysis
SEESpecific extractable energy
NPGNanopore power generation

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Figure 2. Different flow directions in a RED stack: (a) co-flow, (b) counterflow, (c) point-to-point cross-flow, and (d) cross-flow. Red arrows indicate the flow direction in the river water compartments, and blue arrows indicate the direction in the seawater compartments. Modified from [6].
Figure 2. Different flow directions in a RED stack: (a) co-flow, (b) counterflow, (c) point-to-point cross-flow, and (d) cross-flow. Red arrows indicate the flow direction in the river water compartments, and blue arrows indicate the direction in the seawater compartments. Modified from [6].
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Figure 3. Boxplot of membrane power densities (Pdmem) for commercial CEMs and AEMs; the plot is based on Table 2 in [15].
Figure 3. Boxplot of membrane power densities (Pdmem) for commercial CEMs and AEMs; the plot is based on Table 2 in [15].
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Figure 5. Areal resistances in Ω∙cm2 for three trajectories through a profiled fractal membrane.
Figure 5. Areal resistances in Ω∙cm2 for three trajectories through a profiled fractal membrane.
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Figure 6. Some designs for fractal feed within profiled membranes. Membrane thickness is 0.8 mm. Unimpressed parts (sides and ridges) are black, feed channels (yellow) are impressed to a depth of 0.6 mm, and reactor channels (blue) are 0.1 mm deep. (a) Flat representation of the membrane from Figure 4, as designed for point-to-point cross-flow feed. (b) Design for a fractal membrane with feedwater supply. Feed channels are wider at the entrance and narrower at the end. (c) The same idea as the previous design, but with an alternative design of the feedwater channels.
Figure 6. Some designs for fractal feed within profiled membranes. Membrane thickness is 0.8 mm. Unimpressed parts (sides and ridges) are black, feed channels (yellow) are impressed to a depth of 0.6 mm, and reactor channels (blue) are 0.1 mm deep. (a) Flat representation of the membrane from Figure 4, as designed for point-to-point cross-flow feed. (b) Design for a fractal membrane with feedwater supply. Feed channels are wider at the entrance and narrower at the end. (c) The same idea as the previous design, but with an alternative design of the feedwater channels.
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Figure 7. One feed channel and reactor part from Figure 6b. The width of the feed channels (yellow) is adjusted to the decreasing flow rate. The reactor part (blue) is supported by narrow ridges (black). For the calculation, the Ralex CMH-PES is used.
Figure 7. One feed channel and reactor part from Figure 6b. The width of the feed channels (yellow) is adjusted to the decreasing flow rate. The reactor part (blue) is supported by narrow ridges (black). For the calculation, the Ralex CMH-PES is used.
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Figure 8. Fractal stacks. (a) A fractal stack assembled from 16 smaller stacks. Feedwater manifolds are not shown, but the sides of the stack are colored according to feedwater flow: red (river water inlet), blue (seawater inlet), and gray (river and seawater outlet). (b) Top view of the stack with 16 sub-stacks (yellow) containing river water feed channels (red), seawater feed channels (blue), and outlet channels (gray). White areas are empty and provide space for tie rods. (c) Top view of a stack with a more efficient ratio between volumes of stacks and feedwater channels. (d) Top view of a stack with an asymmetrical fractal design. Because seawater has a high conductivity, thicker spacers can be applied in the seawater compartments and longer compartments are possible.
Figure 8. Fractal stacks. (a) A fractal stack assembled from 16 smaller stacks. Feedwater manifolds are not shown, but the sides of the stack are colored according to feedwater flow: red (river water inlet), blue (seawater inlet), and gray (river and seawater outlet). (b) Top view of the stack with 16 sub-stacks (yellow) containing river water feed channels (red), seawater feed channels (blue), and outlet channels (gray). White areas are empty and provide space for tie rods. (c) Top view of a stack with a more efficient ratio between volumes of stacks and feedwater channels. (d) Top view of a stack with an asymmetrical fractal design. Because seawater has a high conductivity, thicker spacers can be applied in the seawater compartments and longer compartments are possible.
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Table 1. Effect of the length of the flow paths on the net power density in co-flow stacks equipped with real and ideal spacers and membranes. Stacks are optimized for maximum net power density (Pdnet).
Table 1. Effect of the length of the flow paths on the net power density in co-flow stacks equipped with real and ideal spacers and membranes. Stacks are optimized for maximum net power density (Pdnet).
SpacerMembranePdnet (W/m2)Pdnet (W/m2)Pdnet (W/m2)
@ 0.01 m@ 0.1 m@ 1 m
emptyideal60.219.06.0
wovenideal11.583.661.16
emptyQianqiu2.431.911.27
wovenQianqiu1.630.990.47
Table 2. Effect of flow path length of co-flow stacks equipped with Qianqiu membranes and woven spacers. The stack model is maximized for net power density (Pdnet) and for the response product (RPZ).
Table 2. Effect of flow path length of co-flow stacks equipped with Qianqiu membranes and woven spacers. The stack model is maximized for net power density (Pdnet) and for the response product (RPZ).
Parameter--Maximized PdnetMaximized RPZ
Path lengthL (m)m0.010.110.010.11
Net power densityPdnet W/m21.630.990.471.050.740.38
Net river water yieldZnetkJ/m378126156298299272
Flow ratio sea/river waterΦSR-0.901.111.365.763.823.03
Thickness sea water comp.δSμm19450314302405901500
Thickness river water comp.δRμm9624067254175553
Table 3. Publications in 2024 concerning membranes and micropores for RED (S/R stands for artificial seawater and river water).
Table 3. Publications in 2024 concerning membranes and micropores for RED (S/R stands for artificial seawater and river water).
AuthorsRef.TypeCHC/CLCPd (W/m2)Membrane
Liu et al.[21]CEMS/R48.4Propidium iodide-based two-dimensional polymer
Mai et al.[22]CEM506.48Metal–organic framework
Liu et al.[23]AEMS/R1.47Modified cross-linked alginate hydrogels
Guo et al.[24]CEM509.2Sulfonated poly(ether ether) ketone membrane
Li et al.[25]CEM501.92PET–hydrogel heterogeneous membranes
Qin et al.[26]AEMS/R2.31Layered double-hydroxide membranes
Chen et al.[27]CEM5010.08Zirconium-based MOF
Awati et al.[28]CEMS/R5.35VOLD/CNF-wrapped carbon nanotubes
Cao and Wu[29]CEM504.84Dual-Network Fiber–Hydrogel Membrane
Ren et al.[30]CEMS/R21.7Oxygen-functionalized Mxene
Wang et al.[31]CEM5001.25Hole-enriched graphene oxide and cellulose nanofibers
Wu et al.[32]CEM5016.44Three-dimensional hydrogel
Gu et al.[33]CEM-4.66Hydrophilic bilayers of vermiculite and Mxene
Li et al.[34]CEM5013.73Composite hydrogel
Chuang et al.[35]CEMS/R9.64MOF MIL-178
Lin et al.[36]CEM50048.5Anti-swelling nanohydrogel
Zou et al.[37]CEMS/R7.7Turing-type nanochannels
Wu et al.[38]CEM5030.94PASH hydrogel
Wei et al.[39]CEM5021.27NaX zeolite
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Veerman, J. Bioinspired Fractal Design of (Reverse) Electrodialysis Stacks. Processes 2025, 13, 3720. https://doi.org/10.3390/pr13113720

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Veerman J. Bioinspired Fractal Design of (Reverse) Electrodialysis Stacks. Processes. 2025; 13(11):3720. https://doi.org/10.3390/pr13113720

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Veerman, J. (2025). Bioinspired Fractal Design of (Reverse) Electrodialysis Stacks. Processes, 13(11), 3720. https://doi.org/10.3390/pr13113720

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