Topology optimization for the design of porous electrodes

被引:30
作者
Roy, Thomas [1 ]
de Troya, Miguel A. Salazar [1 ]
Worsley, Marcus A. [2 ]
Beck, Victor A. [1 ]
机构
[1] Lawrence Livermore Natl Lab, Computat Engn Div, 7000 East Ave, Livermore, CA 94550 USA
[2] Lawrence Livermore Natl Lab, Mat Sci Div, 7000 East Ave, Livermore, CA 94550 USA
关键词
Topology optimization; Electrochemistry; Electrochemical devices; Porous electrodes; Supercapacitors; REDOX FLOW BATTERIES; LEVEL-SET METHOD; SCALE; CHALLENGES; ELECTRIFICATION; PERFORMANCE; TORTUOSITY; TRANSPORT; POROSITY; SOLVER;
D O I
10.1007/s00158-022-03249-2
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页数:21
相关论文
共 76 条
  • [1] ENERGY STORAGE Chemical storage of renewable energy
    Ager, Joel W.
    Lapkin, Alexei A.
    [J]. SCIENCE, 2018, 360 (6390) : 707 - 708
  • [2] A Review of Topology Optimisation for Fluid-Based Problems
    Alexandersen, Joe
    Andreasen, Casper Schousboe
    [J]. FLUIDS, 2020, 5 (01)
  • [3] A level-set method for shape optimization
    Allaire, G
    Jouve, F
    Toader, AM
    [J]. COMPTES RENDUS MATHEMATIQUE, 2002, 334 (12) : 1125 - 1130
  • [4] 3D-printing for electrolytic processes and electrochemical flow systems
    Ambrosi, Adriano
    Shi, Raymond Rong Sheng
    Webster, Richard D.
    [J]. JOURNAL OF MATERIALS CHEMISTRY A, 2020, 8 (42) : 21902 - 21929
  • [5] Design of Battery Electrodes with Dual-Scale Porosity to Minimize Tortuosity and Maximize Performance
    Bae, Chang-Jun
    Erdonmez, Can K.
    Halloran, John W.
    Chiang, Yet-Ming
    [J]. ADVANCED MATERIALS, 2013, 25 (09) : 1254 - 1258
  • [6] Balay S., 2020, Tech. Rep. ANL-95/11
  • [7] Electrification of the chemical industry
    Barton, John L.
    [J]. SCIENCE, 2020, 368 (6496) : 1181 - 1182
  • [8] Computational design of microarchitected porous electrodes for redox flow batteries
    Beck, Victor A.
    Wong, Jonathan J.
    Jekel, Charles F.
    Tortorelli, Daniel A.
    Baker, Sarah E.
    Duoss, Eric B.
    Worsley, Marcus A.
    [J]. JOURNAL OF POWER SOURCES, 2021, 512
  • [9] Inertially enhanced mass transport using 3D-printed porous flow-through electrodes with periodic lattice structures
    Beck, Victor A.
    Ivanovskaya, Anna N.
    Chandrasekaran, Swetha
    Forien, Jean-Baptiste
    Baker, Sarah E.
    Duoss, Eric B.
    Worsley, Marcus A.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2021, 118 (32)
  • [10] Topology optimization as a powerful tool to design advanced PEMFCs flow fields
    Behrou, Reza
    Pizzolato, Alberto
    Forner-Cuenca, Antoni
    [J]. INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2019, 135 : 72 - 92