Membraneless flow battery leveraging flow-through heterogeneous porous media for improved power density and reduced crossover

M. E. Suss a, K. Confortia, L. Gilsonb, C. R. Buieb and M. Z. Bazant*ac
aDepartment of Chemical Engineering, MIT, Cambridge, MA, USA. E-mail: bazant@mit.edu
bDepartment of Mechanical Engineering, MIT, Cambridge, MA, USA
cDepartment of Mathematics, MIT, Cambridge, MA, USA

Received 9th September 2016 , Accepted 14th October 2016

First published on 14th October 2016


Abstract

We propose and demonstrate a novel flow battery architecture that replaces traditional ion-exchange membranes with less expensive heterogeneous flow-through porous media. Compared to previous membraneless systems, our prototype exhibits significantly improved power density (0.925 W cm−2), maximum current density (3 A cm−2), and reactant crossover, shown by the proposed experimentally-validated crossover model.


Introduction

Redox flow batteries have the potential to provide geographically flexible and highly efficient energy storage,1–3 but their market penetration has been significantly limited by high system costs. In conventional redox flow batteries, the single most expensive component is typically the ion-exchange membrane that separates the anode and cathode.4–6 It is widely believed that such membranes with highly charged pore-surface groups are required to prevent the crossover of similarly charged active species through electrostatic repulsion. Besides their high direct costs, ion-exchange membranes also contribute indirectly to the system cost via significant resistive losses and solvent management issues due to electro-osmotic drag.2,3,5

Laminar-flow or “membraneless” cells circumvent these issues by simply removing the membrane and allowing the free diffusion of active species between laminar streams co-flowing through the anode and cathode compartments.7,8 Such a cell was first demonstrated in 2002 using vanadium chemistry,9 and a variety of other redox couples have since been considered.10–12 However, the vast majority of membraneless cells only operate as fuel cells, delivering energy but not regenerating reactant streams.7 Flow batteries for energy storage, by contrast, operate in closed-loop cycles of discharge (galvanic) and charge (electrolytic) modes to regenerate reactant streams of fixed total volume. To our knowledge, the only prior report of closed-loop cycling operation of a membraneless cell demonstrated a single cycle at 20% round-trip energy efficiency (using vanadium redox chemistry).13 The overwhelming majority of membraneless systems utilize co-flowing stream in open channels to separate reactants,7,11,13,14 yet the results to date show that this cell architecture results in high crossover rates between the co-flowing streams, preventing effective battery cycling.11,13–16 The work by Hollinger et al. and Da Mota et al. used instead a monolithic nanoporous separator between co-flowing streams in open channels in an effort to reduce crossover, but only demonstrated single pass performance (fuel cell mode) and not closed-loop cycles (flow battery mode).10,17 Innovations in membraneless cell architecture to minimize reactant crossover and deliver high performance are required to unlock their potential as low cost grid-scale energy storage systems.

Here, we present a novel membraneless flow battery architecture designed to minimize reactant crossover and enable exceptional power density, and demonstrate this architecture using H2–Br2 chemistry (Fig. 1a). The key novelty is our combination of the concepts of flow-through porous electrodes with flow perpendicular to electric field (for high current and power densities) and nanoporous separators (for reduced crossover) to enable a high performance, cyclable membraneless flow battery. While previous membraneless cells have used flow-through porous electrodes (albeit with flow largely parallel to electric field),13,18,19 or nanoporous separators,10,17 no previous system to our knowledge has combined these two concepts. This combination results in a flow-through, heterogeneous pore structure cathode assembly, consisting of an electrode material with high porosity and >10 μm diameter pores for efficient fluid flow, and a thin layer with smaller <1 μm diameter pores and lower porosity. This small-pore layer, which we term a “dispersion-blocker”, is not an ion exchange membrane, as it does not contain highly charged surface groups that electrostatically block similarly charged ions. We show that the dispersion blocker promises to limit reactant crossover via eliminating hydrodynamic dispersion (fast convective mixing) and minimizing molecular diffusion between liquid streams, that our novel architecture allows for the highest maximum power density (0.925 W cm−2) and current density (3 A cm−2) reported for a membraneless cell, and demonstrate proof-of-concept closed-loop cycling.


image file: c6ra22608f-f1.tif
Fig. 1 (a) Schematic of the novel flow battery architecture proposed and demonstrated in this work. (b) Example solution of eqn (1) for an area–average velocity in the electrolyte channel of 2.8 cm s−1. (c) Tribromide retention predicted by our model and that measured from the experimental cell, versus the electrolyte flowrate, QEL.

Theory and calculations

In order to study crossover in our cell architecture, we developed a 2D numerical model of our experimental cell (shown schematically in Fig. 1a). The model assumes laminar co-flowing streams with a bromine/hydrobromic acid solution flowing through a porous cathode (the oxidant) and hydrobromic acid solution flowing through an open channel (the electrolyte). Between these two flows, a thin dispersion blocker layer is included, within which the fluid is assumed quiescent. Our model captures the diffusive transport of solvated liquid bromine (Br2), tribromide (Br3) and bromide ions (Br) coupled to the (fast) complexation reaction involving these species (Br2 + Br → Br3, K = 16.7).5,20 Previous transport models of H2–Br2 energy systems neglected bromine/bromide complexation, despite an equilibrium constant much greater than unity.5,16,21 As we are primarily interested in crossover, the model neglects the secondary effects of electromigration and electrode reactions. The transport equations for Br2, Br, and Br3 can be combined by employing the molar conservation of elemental bromine (Br), electroneutrality, and complexation equilibrium to arrive at a single governing transport equation:
 
image file: c6ra22608f-t1.tif(1)
where ci and Di are the concentration and diffusivity of species i; U is the local superficial velocity, p the local porosity, and K the complexation reaction equilibrium constant.

The flow in the open electrolyte channel is modelled as Poiseuille flow between two flat plates with an area average velocity U between 1.4 and 2.8 cm s−1, and the flow in the porous cathode as plug (Darcy) flow at 2.5 cm s−1 to match the experiments. The porosity, p, is set to unity in the open channel, 0.5 in the dispersion blocker, and 0.9 in the porous cathode. The hydronium ion (H+) concentration is fixed throughout the domain at 3 M. The upstream boundary condition is a fixed species concentration, and diffusive flux is set to zero at the downstream boundary and along the surface of the anode and the cathode current collector. Normal fluxes are continuous across all internal boundaries, notably between the dispersion blocker and electrolyte channel.

Species transport in flow-through porous media can be significantly faster than molecular diffusion due to hydrodynamic dispersion, if the flow is fast enough (if Peclet number based on pore radius, Per = Ur/D ≫ 1).22 In that case, a large, anisotropic dispersion coefficient would replace the smaller, nearly isotropic molecular diffusion coefficient in the governing species transport equation.23 In our battery, dispersion would be a key source of oxidant loss from the large-pore, flow-through cathode, were it not for the dispersion blocker in the cathode assembly. This small-pore layer (inside which Per ≪ 1) prevents dispersive mixing of the oxidant and electrolyte streams and confines dispersion effects to cathode bulk. We thus use molecular diffusivities in eqn (1), corrected by a tortuosity factor within the dispersion blocker, which was a fitting parameter to the measured data (see Results section).

Eqn (1) was solved numerically using COMSOL 4.3 software, and the results shown in Fig. 1b and c. Concentration boundary layers are formed within the porous cathode and electrolyte channel in the vicinity of the dispersion blocker (Br3 boundary layers shown in Fig. 1b). As shown in Fig. 1b, the predicted concentration gradient of Br3 is largest within the dispersion blocker by several orders of magnitude. The latter observation indicates that, at these conditions, the dispersion blocker serves as a significantly higher resistor to reactant diffusion than the adjacent concentration boundary layers in the electrolyte channel and cathode. This is in contrast to typical membraneless designs, where the concentration boundary layers between co-flowing laminar streams serve as the sole diffusion resistance between flows.7,11,13 We note that Hollinger et al. previously observed experimentally that nanoporous separators can inhibit diffusive transport between co-flowing liquid streams,17 which supports our model conclusions. Thus, our dispersion blocker layer adds an important design knob, as it functions as a large, easily tuneable diffusion resistance. To quantify crossover, in Fig. 1c we plot the predicted tribromide retention, defined as the flux of tribromide leaving the downstream edge of the cathode divided by that which enters the upstream edge. We here show that the retention can reach 98.6% for model parameters which mirror those of our proof-of-concept, unoptimized experimental system (see Materials and methods section).

Materials and methods

The components used in our prototype cell were two PVDF porting plates (McMaster-Carr, IL), a graphite cathode current collector (McMaster-Carr), a composite anode current collector to prevent hydrogen gas leaks (http://GraphiteStore.com, IL), PTFE coated glass fiber gaskets (American Durafilm, MA) and a fuel cell anode with 0.5 mg cm−2 platinum loading in the catalyst layer supported by a carbon cloth substrate (http://FuelCellStore.com). The heterogeneous pore structure cathode assembly consisted of a layer of SGL 25AA porous carbon paper as cathode material (SGL Group, Germany), and a layer of porous polyethylene with ∼80 nm diameter pores as dispersion blocker (K1650, Celgard, NC). The carbon paper was pre-treated using a 5 h soak at 50 °C in a 3[thin space (1/6-em)]:[thin space (1/6-em)]1 volume ratio of 98% H2SO4 to 70% HNO3 to reduce activation overpotentials.5 The electrolyte and oxidant channels were cut into the gaskets, and were 1.1 cm long (in the flow direction), 2 mm wide, and 0.6 mm high (in the electric field direction), and this length and width defined the active area of our cell (0.22 cm2 active area).

Polarization curve experiments were performed at room temperature using fresh electrolyte, oxidant, and hydrogen gas. Gas flow was controlled via a mass flow controller (Cole Parmer, IL) set to 25 sccm, and liquid flowrates were controlled via peristaltic pump (Cole Parmer) at 1 mL min−1 through the electrolyte channel and 0.6 mL min−1 through the cathode. The electrolyte was 3 M HBr, and for discharge curves the oxidant 0.25–3 M Br2 in 3 M HBr (we identify oxidant solutions via their initial, pre-complexation, concentration of Br2). A potentiostat (Reference 3000, Gamry, PA) was used to set the discharge and charge currents and measure the cell voltage. The cell was run at a specified current for 30 s with a voltage measurement occurring at 1 Hz frequency, and then all voltage measurements for a given current were averaged to obtain the polarization curve voltage (the voltage typically took <5 s to reach steady state). Closed-loop cycling data was obtained by cycling a fixed volume of 10 mL oxidant (0.1 M Br2 in 3 M HBr) and 66.6 mL electrolyte (3 M Hbr) using an electrolyte flow rate of 2 mL min−1 and oxidant flow rate of 0.6 mL min−1, and a constant current of 0.2 A cm−2 during charging and discharging steps. Cell voltage was measured every 5 s, and the half-cycle time was set to 16.7 min to allow a single pass of the oxidant through the system each half-cycle. 0.1 M Br2 was used in order to reduce cycle time needed to attain significant fuel utilization in a single pass, and we here achieve ∼26% utilization of the initial Br2 upon discharge.

Experimental results

To validate the model presented in the Theory section, we directly measured the tribromide concentration in the electrolyte outflow of our prototype battery using UV spectrophotometry. The spectrophotometry data was obtained using a Shimadzu UV spectrophotometer (Japan), and absorbance measurements were made at a wavelength of 270 nm. A calibration curve was developed of measured absorbance versus known Br3 concentration in 3 M HBr solution, and electrolyte samples from the battery were compared to this calibration curve to obtain their Br3 concentration. Experiments were run with a 1 M Br2 oxidant stream, and without any current sourced or applied to the cell. As can be seen in Fig. 1c, the experimental results were well-described by the model, where for the model we used dispersion blocker tortuosity as a fitting parameter with a value of 1.5 (near to the values measured previously for polypropylene sheets from Celgard24).

While our membraneless cell architecture was designed to minimize crossover, it is important that it can also deliver high performance. In Fig. 2a, we show the prototype cell's polarization curve data. For charging data (black squares), solely HBr electrolyte was pumped through both the electrolyte channel and porous cathode. Discharging polarization curves were obtained for three concentrations of Br2 (triangular markers). The linearity of the curves at low currents shows that there were no significant activation overpotential losses. At 0.25 M, we can observe some concentration polarization (nonlinearity) above 0.7 A cm−2, but, remarkably, there were no such mass transfer losses for higher bromine concentrations, even at very large currents (3 A cm−2). This suggests that in the future, higher currents are achievable by optimizing the cell for minimum ohmic resistance. Fig. 2a also shows the discharge power density achieved by the prototype (circular markers), calculated from the polarization curve data. Maximum power increased with increasing Br2 concentration in the oxidant flow, up to a value of 0.925 W cm−2 at 3 M. In contrast to the membraneless H2–Br2 flow battery developed by Braff et al. with liquid flow over a planar (flat) electrode,11 our porous, flow-through architecture exhibits significantly reduced mass transport losses and requires much less bromine to maintain high power (here 0.45 W cm−2 at 0.25 M and 0.79 W cm−2 at 1 M). In addition, our battery achieves a maximum current density of up to 3 A cm−2 (at 3 M Br2), which is nearly twice as high as was previously attained by a membraneless cell (1.7 A cm−2).11 Further, our prototype demonstrates exceptionally high voltage efficiency, defined as the discharge voltage divided by the charge voltage at a given current, such as 96% efficiency at 3 M Br2 and 20% maximum power (0.19 W cm−2, 0.2 A cm−2).


image file: c6ra22608f-f2.tif
Fig. 2 (a) Measured discharge (triangular markers) and charge (square black markers) polarization curve data, and the corresponding discharge power density (circular markers) versus current density. Our prototype demonstrates a maximum power density of 0.925 W cm−2 at 3 M Br2. (b) Historical evolution of the maximum power density attained by membraneless flow batteries and fuel cells. The dashed line serves to guide the eye, and the inset shows the cycling data obtained with our prototype (circular markers represent the time-averaged discharge voltage and diamond makers the charge voltage).

To put our work in a historical perspective, in Fig. 2b we show a review of the maximum power achieved by membraneless electrochemical energy systems (fuel cells and flow batteries).9–14,17–19,25–45 We distinguish between fuel cells and flow batteries by denoting flow batteries as devices which demonstrated closed-loop charge–discharge cycling. In the inset, we show example closed-loop cycling data obtained from our prototype by plotting the time-averaged charge and discharge cell voltage versus cycle number. To our knowledge, our battery achieves the highest power reported for membraneless electrochemical energy systems (fuel cell or flow battery), and attains roughly 50% higher power density than high performance membrane-based vanadium redox flow batteries (∼0.6 W cm−2).46

Conclusions

We proposed, numerically modelled, and experimentally demonstrated a novel membraneless flow battery architecture which leverages inexpensive heterogeneous porous media to minimize reactant crossover. In addition, our cell greatly improved upon the state of the art in membraneless flow batteries by attaining a power density of 0.925 W cm−2 and current density of 3 A cm−2. The concept of using heterogeneous flow-through porous media to separate reactants can in the future be applied to a wide variety of redox chemistries.

Acknowledgements

We would like to acknowledge seed funding from the MIT Energy Initiative (MITEI), a Catalyst Award from the Massachusetts Clean Energy Center (MassCEC), and funding from the Kuwait-MIT Center for Natural Resources and the Environment.

Notes and references

  1. B. Dunn, H. Kamath and J.-M. Tarascon, Science, 2011, 334, 928–935 CrossRef CAS PubMed.
  2. M. Skyllas-Kazacos, M. H. Chakrabarti, S. A. Hajimolana, F. S. Mjalli and M. Saleem, J. Electrochem. Soc., 2011, 158, R55 CrossRef CAS.
  3. A. Z. Weber, et al., J. Appl. Electrochem., 2011, 41, 1137–1164 CrossRef CAS.
  4. V. Viswanathan, et al., J. Power Sources, 2014, 247, 1040–1051 CrossRef CAS.
  5. K. T. Cho, et al., Energ. Tech., 2013, 1, 596–608 CrossRef.
  6. M. Zhang, M. Moore, J. S. Watson, T. A. Zawodzinski and R. M. Counce, J. Electrochem. Soc., 2012, 159, A1183–A1188 CrossRef CAS.
  7. M. A. Goulet and E. Kjeang, J. Power Sources, 2014, 260, 186–196 CrossRef CAS.
  8. S. A. Mousavi Shaegh, N. T. Nguyen and S. H. Chan, Int. J. Hydrogen Energy, 2011, 36, 5675–5694 CrossRef CAS.
  9. R. Ferrigno, A. D. Stroock, T. D. Clark, M. Mayer and G. M. Whitesides, J. Am. Chem. Soc., 2002, 124, 12930–12931 CrossRef CAS PubMed.
  10. N. Da Mota, et al., J. Am. Chem. Soc., 2012, 134, 6076–6079 CrossRef CAS PubMed.
  11. W. A. Braff, M. Z. Bazant and C. R. Buie, Nat. Commun., 2014, 4, 2346 Search PubMed.
  12. E. Kjeang, R. Michel, D. A. Harrington, D. Sinton and N. Djilali, Electrochim. Acta, 2008, 54, 698–705 CrossRef CAS.
  13. J. W. Lee, M.-A. Goulet and E. Kjeang, Lab Chip, 2013, 13, 2504–2507 RSC.
  14. O. A. Ibrahim, M.-A. Goulet and E. Kjeang, Electrochim. Acta, 2016, 187, 277–285 CrossRef CAS.
  15. M.-A. Goulet and E. Kjeang, Electrochim. Acta, 2014, 140, 217–224 CrossRef CAS.
  16. W. A. Braff, C. R. Buie and M. Z. Bazant, J. Electrochem. Soc., 2013, 160, A2056–A2063 CrossRef CAS.
  17. A. S. Hollinger, et al., J. Power Sources, 2010, 195, 3523–3528 CrossRef CAS.
  18. E. Kjeang, R. Michel, D. A. Harrington, N. Djilali and D. Sinton, J. Am. Chem. Soc., 2008, 130, 4000–4006 CrossRef CAS PubMed.
  19. K. S. Salloum, J. R. Hayes, C. A. Friesen and J. D. Posner, J. Power Sources, 2008, 180, 243–252 CrossRef CAS.
  20. V. Livshits, A. Ulus and E. Peled, Electrochem. Commun., 2006, 8, 1358–1362 CrossRef CAS.
  21. R. F. Savinell and S. D. Fritts, J. Power Sources, 1988, 22, 423–440 CrossRef CAS.
  22. J. Bear, Dynamics of fluids in porous media, Courier Corporation, 2013 Search PubMed.
  23. J. Newman and W. Tiedemann, AIChE J., 1975, 21, 25–41 CrossRef CAS.
  24. D. Djian, F. Alloin, S. Martinet, H. Lignier and J. Y. Sanchez, J. Power Sources, 2007, 172, 416–421 CrossRef CAS.
  25. E. Choban, J. Power Sources, 2004, 128, 54–60 CrossRef CAS.
  26. R. S. Jayashree, et al., J. Am. Chem. Soc., 2005, 127, 16758–16759 CrossRef CAS PubMed.
  27. E. R. Choban, J. S. Spendelow, L. Gancs, A. Wieckowski and P. J. A. Kenis, Electrochim. Acta, 2005, 50, 5390–5398 CrossRef CAS.
  28. R. S. Jayashree, et al., Electrochem. Solid-State Lett., 2006, 9, A252–A256 CrossRef CAS.
  29. S. Topcagic and S. D. Minteer, Electrochim. Acta, 2006, 51, 2168–2172 CrossRef CAS.
  30. R. S. Jayashree, M. Mitchell, D. Natarajan, L. J. Markoski and P. J. A. Kenis, Langmuir, 2007, 23, 6871–6874 CrossRef CAS PubMed.
  31. E. Kjeang, J. McKechnie, D. Sinton and N. Djilali, J. Power Sources, 2007, 168, 379–390 CrossRef CAS.
  32. E. Kjeang, et al., Electrochim. Acta, 2007, 52, 4942–4946 CrossRef CAS.
  33. E. Kjeang, A. G. Brolo, D. A. Harrington, N. Djilali and D. Sinton, J. Electrochem. Soc., 2007, 154, B1220 CrossRef CAS.
  34. A. Li, S. H. Chan and N.-T. Nguyen, J. Micromech. Microeng., 2007, 17, 1107–1113 CrossRef CAS.
  35. F. R. Brushett, R. S. Jayashree, W. P. Zhou and P. J. A. Kenis, Electrochim. Acta, 2009, 54, 7099–7105 CrossRef CAS.
  36. D. T. Whipple, R. S. Jayashree, D. Egas, N. Alonso-Vante and P. J. A. Kenis, Electrochim. Acta, 2009, 54, 4384–4388 CrossRef CAS.
  37. R. S. Jayashree, et al., J. Power Sources, 2010, 195, 3569–3578 CrossRef CAS.
  38. S. A. M. Shaegh, N.-T. Nguyen and S. H. Chan, J. Micromech. Microeng., 2010, 20, 105008 CrossRef.
  39. K. S. Salloum and J. D. Posner, J. Power Sources, 2011, 196, 1229–1234 CrossRef CAS.
  40. P. O. López-Montesinos, et al., J. Power Sources, 2011, 196, 4638–4645 CrossRef.
  41. S. A. Mousavi Shaegh, N. T. Nguyen, S. H. Chan and W. Zhou, Int. J. Hydrogen Energy, 2012, 37, 3466–3476 CrossRef CAS.
  42. S. A. M. Shaegh, N.-T. Nguyen, S. M. Mousavi Ehteshami and S. H. Chan, Energy Environ. Sci., 2012, 5, 8225 Search PubMed.
  43. M. Gowdhamamoorthi, A. Arun, S. Kiruthika and B. Muthukumaran, Ionics, 2014, 20, 1723–1728 CrossRef CAS.
  44. S. A. M. Shaegh, S. M. M. Ehteshami, S. H. Chan, N.-T. Nguyen and S. N. Tan, RSC Adv., 2014, 4, 37284–37287 RSC.
  45. Q. Yi, Q. Chen and Z. Yang, J. Power Sources, 2015, 298, 171–176 CrossRef CAS.
  46. D. S. Aaron, et al., J. Power Sources, 2012, 206, 450–453 CrossRef CAS.

Footnote

Faculty of Mechanical Engineering, Technion – Israel Institute of Technology, Haifa, Israel.

This journal is © The Royal Society of Chemistry 2016
Click here to see how this site uses Cookies. View our privacy policy here.