0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A versatile optimization framework for porous electrode design†

      research-article
      a , a , a , a ,
      Digital Discovery
      RSC

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Porous electrodes are performance-defining components in electrochemical devices, such as redox flow batteries, as they govern the electrochemical performance and pumping demands of the reactor. Yet, conventional porous electrodes used in redox flow batteries are not tailored to sustain convection-enhanced electrochemical reactions. Thus, there is a need for electrode optimization to enhance the system performance. In this work, we present an optimization framework to carry out the bottom-up design of porous electrodes by coupling a genetic algorithm with a pore network modeling framework. We introduce geometrical versatility by adding a pore merging and splitting function, study the impact of various optimization parameters, geometrical definitions, and objective functions, and incorporate conventional electrode and flow field designs. Moreover, we show the need for optimizing geometries for specific reactor architectures and operating conditions to design next-generation electrodes, by analyzing the genetic algorithm optimization for initial starting geometries with diverse morphologies (cubic and a tomography-extracted commercial electrode), flow field designs (flow-through and interdigitated), and redox chemistries (VO 2+/VO 2 + and TEMPO/TEMPO +). We found that for kinetically sluggish electrolytes with high ionic conductivity, electrodes with numerous small pores and high internal surface area provide enhanced performance, whereas for kinetically facile electrolytes with low ionic conductivity, low through-plane tortuosity and high hydraulic conductance are desired. The computational tool developed in this work can further expanded to the design of high-performance electrode materials for a broad range of operating conditions, electrolyte chemistries, reactor designs, and electrochemical technologies.

          Abstract

          An optimization tool is presented by coupling a genetic algorithm with a pore network modeling framework for the bottom-up design of porous electrodes for a broad range of operating conditions, electrolyte chemistries, and reactor designs.

          Related collections

          Most cited references42

          • Record: found
          • Abstract: not found
          • Article: not found

          Redox flow batteries: a review

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Optimization of Control Parameters for Genetic Algorithms

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              A Total Organic Aqueous Redox Flow Battery Employing a Low Cost and Sustainable Methyl Viologen Anolyte and 4-HO-TEMPO Catholyte

                Bookmark

                Author and article information

                Journal
                Digit Discov
                Digit Discov
                DD
                DDIIAI
                Digital Discovery
                RSC
                2635-098X
                25 April 2024
                10 July 2024
                25 April 2024
                : 3
                : 7
                : 1292-1307
                Affiliations
                [a ] Electrochemical Materials and Systems, Department of Chemical Engineering and Chemistry, Eindhoven University of Technology PO Box 513 5600 MB Eindhoven Netherlands a.forner.cuenca@ 123456tue.nl m.v.d.heijden@ 123456tue.nl szendrei.gabor09@ 123456gmail.com v.d.haas@ 123456student.tue.nl
                Author information
                https://orcid.org/0000-0003-2250-4042
                https://orcid.org/0000-0002-7681-0435
                Article
                d3dd00247k
                10.1039/d3dd00247k
                11235177
                38993730
                2f4b515d-a577-4bd2-a9d2-6a64ec3692bc
                This journal is © The Royal Society of Chemistry
                History
                : 15 December 2023
                : 22 April 2024
                Page count
                Pages: 16
                Funding
                Funded by: Nederlandse Organisatie voor Wetenschappelijk Onderzoek, doi 10.13039/501100003246;
                Award ID: 17324
                Funded by: European Research Council, doi 10.13039/501100000781;
                Award ID: ERC, FAIR-RFB
                Award ID: ERC-2021-STG 101042844
                Categories
                Chemistry
                Custom metadata
                Paginated Article

                Comments

                Comment on this article