Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Technical University of Denmark

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2024Multiscale multiphysics modeling of ammonia-fueled solid oxide fuel cell:Effects of temperature and pre-cracking on reliability and performance of stack and system6citations
  • 2024A numerical investigation of nitridation in solid oxide fuel cell stacks operated with ammonia12citations
  • 2024Multiscale multiphysics modeling of ammonia-fueled solid oxide fuel cell6citations
  • 2021Modelling of local mechanical failures in solid oxide cell stacks40citations

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Chart of shared publication
Beyrami, Javid
2 / 4 shared
Frandsen, Henrik Lund
4 / 66 shared
Nemati, Arash
3 / 8 shared
Nakashima, Rafael Nogueira
1 / 2 shared
Chen, Ming
1 / 29 shared
Nogueira Nakashima, Rafael
1 / 2 shared
Miao, Xing-Yuan
1 / 2 shared
Navasa, Maria
1 / 2 shared
Chart of publication period
2024
2021

Co-Authors (by relevance)

  • Beyrami, Javid
  • Frandsen, Henrik Lund
  • Nemati, Arash
  • Nakashima, Rafael Nogueira
  • Chen, Ming
  • Nogueira Nakashima, Rafael
  • Miao, Xing-Yuan
  • Navasa, Maria
OrganizationsLocationPeople

article

Multiscale multiphysics modeling of ammonia-fueled solid oxide fuel cell

  • Nogueira Nakashima, Rafael
  • Beyrami, Javid
  • Frandsen, Henrik Lund
  • Nemati, Arash
  • Rizvandi, Omid Babaie
Abstract

Ammonia is a promising carbon-free fuel for solid oxide fuel cells (SOFCs). However, direct feeding of ammonia into the SOFC may lead to serious degradation due to the nitriding. Conversely, the pre-cracking of ammonia introduces complexity to the system design and causes increased power losses in the system. Therefore, it is crucial to explore all these aspects simultaneously. In this context, this study introduces a novel multiscale modeling approach by integrating a 3D multiphysics simulation of the ammonia-fueled SOFC stack with system-level modeling to investigate the reliability and performance of the stack and system. Two different cell technologies developed for low temperature (LT) and high temperature (HT) operation are investigated at LT (600 – 700 °C) and HT (700 – 800 °C) ranges. The results indicate that fuel inlet temperature should be 55 °C and 18 °C higher than the minimum temperature in 0% pre-cracking case for HT and LT cases, respectively. The increase in the required air flow rate for cooling in the 100% pre-cracking case compared to the 0% pre-cracking case is around 100% and 216% for the HT and LT cases, respectively. However, stack power production and power losses in the system components are comparable for LT and HT cases which leads to similar system performance. A larger share of the active area is affected by nitriding in LT cases than HT ones. However, a smaller cracking ratio at LT (∼ 82%) compared to HT conditions (∼ 92%) is needed for elimination of nitriding. While the LT and HT cases are comparable in terms of system power production, the lower stack outlet temperatures in LT cases require novel and more expensive catalysts for ammonia pre-cracking and HT<br/>cases need more expensive steels.

Topics
  • impedance spectroscopy
  • Carbon
  • simulation
  • steel