Topology optimization for the design of porous electrodes

Porous electrodes are an integral part of many electrochemical devices since they have high porosity to maximize electrochemical transport and high surface area to maximize activity. Traditional porous electrode materials are typically homogeneous, stochastic collections of small scale particles and offer few opportunities to engineer higher performance. Fortunately, recent breakthroughs in advanced and additive manufacturing are yielding new methods to structure and pattern porous electrodes across length scales. These architected electrodes are emerging as a promising new technology to continue to drive improvement; however, it is still unclear which structures to employ and few tools are available to guide their design. In this work we address this gap by applying topology optimization to the design of porous electrodes. We demonstrate our framework on two applications: a porous electrode driving a steady Faradaic reaction and a transiently operated electrode in a supercapacitor. We present computationally designed electrodes that minimize energy losses in a half-cell. For low conductivity materials, the optimization algorithm creates electrode designs with a hierarchy of length scales. Further, the designed electrodes are found to outperform undesigned, homogeneous electrodes. Finally, we present three-dimensional porous electrode designs. We thus establish a topology optimization framework for designing porous electrodes.

[1]  J. Newman,et al.  Porous‐electrode theory with battery applications , 1975 .

[2]  M. Kärkäs,et al.  Organic Electrosynthesis: Applications in Complex Molecule Synthesis , 2019, ChemElectroChem.

[3]  K. Zaghib,et al.  Quantifying tortuosity in porous Li-ion battery materials , 2009 .

[4]  O. Sigmund,et al.  Filters in topology optimization based on Helmholtz‐type differential equations , 2011 .

[5]  Ole Sigmund,et al.  On projection methods, convergence and robust formulations in topology optimization , 2011, Structural and Multidisciplinary Optimization.

[6]  M. Mench,et al.  Redox flow batteries: a review , 2011 .

[7]  Kikuo Fujita,et al.  Computational design of flow fields for vanadium redox flow batteries via topology optimization , 2019 .

[8]  Alberto Pizzolato,et al.  Topology optimization as a powerful tool to design advanced PEMFCs flow fields , 2019, International Journal of Heat and Mass Transfer.

[9]  A. Soffer,et al.  Double Layer Capacitance and Charging Rate of Ultramicroporous Carbon Electrodes , 1977 .

[10]  Paul R. Shearing,et al.  On the origin and application of the Bruggeman correlation for analysing transport phenomena in electrochemical systems , 2016 .

[11]  D. A. G. Bruggeman Berechnung verschiedener physikalischer Konstanten von heterogenen Substanzen. I. Dielektrizitätskonstanten und Leitfähigkeiten der Mischkörper aus isotropen Substanzen , 1935 .

[12]  Yi Cui,et al.  The path towards sustainable energy. , 2016, Nature materials.

[13]  V. E. Henson,et al.  BoomerAMG: a parallel algebraic multigrid solver and preconditioner , 2002 .

[14]  D. Finegan,et al.  3D microstructure design of lithium-ion battery electrodes assisted by X-ray nano-computed tomography and modelling , 2020, Nature Communications.

[15]  J. Haverkort A theoretical analysis of the optimal electrode thickness and porosity , 2019, Electrochimica Acta.

[16]  A. Stankiewicz,et al.  Beyond electrolysis: old challenges and new concepts of electricity-driven chemical reactors , 2020, Reaction Chemistry & Engineering.

[17]  Bernhard Tjaden,et al.  Tortuosity in electrochemical devices: a review of calculation approaches , 2018 .

[18]  John L. Barton,et al.  Electrification of the chemical industry , 2020, Science.

[19]  Yet-Ming Chiang,et al.  Design of Battery Electrodes with Dual‐Scale Porosity to Minimize Tortuosity and Maximize Performance , 2013, Advanced materials.

[20]  James K. Guest,et al.  Achieving minimum length scale in topology optimization using nodal design variables and projection functions , 2004 .

[21]  W. Kim,et al.  Perspective on 3D-designed micro-supercapacitors , 2020, Materials & Design.

[22]  K. Maute,et al.  A design optimization methodology for Li+ batteries , 2014 .

[23]  Stafford W. Sheehan,et al.  Progress toward Commercial Application of Electrochemical Carbon Dioxide Reduction , 2018, Chem.

[24]  G. Allaire,et al.  A level-set method for shape optimization , 2002 .

[25]  M. Bendsøe Optimal shape design as a material distribution problem , 1989 .

[26]  Victor A. Beck,et al.  Designing a Zn–Ag Catalyst Matrix and Electrolyzer System for CO2 Conversion to CO and Beyond , 2021, Advanced materials.

[27]  Fang Qian,et al.  Supercapacitors Based on Three-Dimensional Hierarchical Graphene Aerogels with Periodic Macropores. , 2016, Nano letters.

[28]  Corie Lynn Cobb,et al.  Modeling mass and density distribution effects on the performance of co-extruded electrodes for high energy density lithium-ion batteries , 2014 .

[29]  P. Baran,et al.  Synthetic Organic Electrochemical Methods Since 2000: On the Verge of a Renaissance. , 2017, Chemical reviews.

[30]  D. Brandt,et al.  Multi-level adaptive solutions to boundary-value problems math comptr , 1977 .

[31]  Victor A. Beck,et al.  Inertially enhanced mass transport using 3D-printed porous flow-through electrodes with periodic lattice structures , 2021, Proceedings of the National Academy of Sciences.

[32]  A. Majumdar,et al.  Opportunities and challenges for a sustainable energy future , 2012, Nature.

[33]  W. Schill,et al.  Optimal supply chains and power sector benefits of green hydrogen , 2020, Scientific Reports.

[34]  Robert D. Falgout,et al.  hypre: A Library of High Performance Preconditioners , 2002, International Conference on Computational Science.

[35]  Xuelong Zhou,et al.  A high-performance dual-scale porous electrode for vanadium redox flow batteries , 2016 .

[36]  F. Ran,et al.  Design Strategies of 3D Carbon‐Based Electrodes for Charge/Ion Transport in Lithium Ion Battery and Sodium Ion Battery , 2021, Advanced Functional Materials.

[37]  T. M. Gür Correction: Review of electrical energy storage technologies, materials and systems: challenges and prospects for large-scale grid storage , 2018 .

[38]  Ganesh Madabattula,et al.  Model and Measurement Based Insights into Double Layer Capacitors: Voltage-Dependent Capacitance and Low Ionic Conductivity in Pores , 2020 .

[39]  Adriano Ambrosi,et al.  3D-printing for electrolytic processes and electrochemical flow systems , 2020 .

[40]  D. Bartuschat Algebraic Multigrid , 2007 .

[41]  F. Zhang,et al.  Revitalizing carbon supercapacitor electrodes with hierarchical porous structures , 2017 .

[42]  James R. McKone,et al.  Harnessing Interfacial Electron Transfer in Redox Flow Batteries , 2021 .

[43]  Zachary J. Schiffer,et al.  Electrification and Decarbonization of the Chemical Industry , 2017 .

[44]  Xuelong Zhou,et al.  An improved thin-film electrode for vanadium redox flow batteries enabled by a dual layered structure , 2019, Journal of Power Sources.

[45]  Andrew T. T. McRae,et al.  Firedrake: automating the finite element method by composing abstractions , 2015, ACM Trans. Math. Softw..

[46]  Xiaoming Wang,et al.  A level set method for structural topology optimization , 2003 .

[47]  Stephen J. Harris,et al.  Design of Bi-Tortuous, Anisotropic Graphite Anodes for Fast Ion-Transport in Li-Ion Batteries , 2015 .

[48]  Joe Alexandersen,et al.  A Review of Topology Optimisation for Fluid-Based Problems , 2020, Fluids.

[49]  A. Lapkin,et al.  Chemical storage of renewable energy , 2018, Science.

[50]  K. Svanberg The method of moving asymptotes—a new method for structural optimization , 1987 .

[51]  A. West,et al.  Tunable Porous Electrode Architectures for Enhanced Li-Ion Storage Kinetics in Thick Electrodes. , 2021, Nano letters.

[52]  Simon W. Funke,et al.  dolfin-adjoint 2018.1: automated adjoints for FEniCS and Firedrake , 2019, J. Open Source Softw..