---
res:
  bibo_abstract:
  - "<jats:title>ABSTRACT</jats:title>\r\n                  <jats:p>\r\n                    Methane,
    synthesized from renewable hydrogen and biogenic CO\r\n                    <jats:sub>2</jats:sub>\r\n
    \                   , can be a part of the transformation towards renewable energy
    carriers. A major engineering challenge is the optimization of the fixed‐bed reactor
    design, specifically the heat dissipation in regions of high reaction heat release.
    A mitigation concept is the introduction of inert material into the fixed bed,
    called catalyst dilution. In this study, a 1D continuity model is presented, which
    aims to predict catalyst superheating. This model is used in an exploratory study
    to identify system sensitivity and optimization parameters. Subsequently, an optimization
    framework for improving the reactor design is tested, resulting in a 148‐K reduction
    in peak catalyst temperature when using a 33.3 vol% catalyst dilution.\r\n                  </jats:p>@eng"
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Torben
      foaf_name: Schmücker, Torben
      foaf_surname: Schmücker
      foaf_workInfoHomepage: http://www.librecat.org/personId=111274
  - foaf_Person:
      foaf_givenName: Julia
      foaf_name: Riese, Julia
      foaf_surname: Riese
      foaf_workInfoHomepage: http://www.librecat.org/personId=101499
    orcid: 0000-0002-3053-0534
  bibo_doi: 10.1002/cite.70162
  dct_date: 2026^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/0009-286X
  - http://id.crossref.org/issn/1522-2640
  dct_language: eng
  dct_publisher: Wiley@
  dct_title: Model‐Based Optimization Framework for Catalyst Dilution Applications
    in CO2‐Methanation Reactors@
...