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Advanced Thin Film Fuel Cells and Polymer Electrolyte Fuel Cells

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A5: Hydrogen Energy".

Deadline for manuscript submissions: closed (31 October 2020) | Viewed by 5818

Special Issue Editor


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Guest Editor
Department of Mechanical and Automotive Engineering, Wonkwang University, 460 Iksan-daero, Sin-dong, Iksan, Jeollabuk-do, Korea
Interests: fuel cells; battery; sensor; material characterization; thin film deposition; soft lithography; flexible electronics

Special Issue Information

Dear Colleagues,

The Guest Editor is inviting submissions for a Special Issue of Energies on the subject area of “Advanced Thin Film Fuel Cells and Polymer Electrolyte Fuel Cells”. Advanced thin film fuel cells and polymer electrolyte fuel cells are two of the promising power sources from portable applications to large-scale power plants.

This Special Issue will focus on advanced thin film fuel cells and polymer electrolyte fuel cells. Topics of interest for publication include but are not limited to:

  • High-temperature polymer electrolyte fuel cells;
  • Low-temperature solid oxide fuel cells;
  • Thin-film solid oxide fuel cells;
  • Thin-film processes for fuel cells;
  • New materials for fuel cells;
  • Energy systems for fuel cells;
  • Applications using fuel cells;
  • New energy system using electrochemical approaches.

Prof. Dr. Ikwhang Chang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • fuel cell
  • thin film
  • low temperature
  • electrochemical
  • energy

Published Papers (2 papers)

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Research

8 pages, 3466 KiB  
Communication
Investigation of Reducing In-Plane Resistance of Nickel Oxide-Samaria-Doped Ceria Anode in Thin-Film Solid Oxide Fuel Cells
by Yusung Kim, Sanghoon Lee, Gu Young Cho, Wonjong Yu, Yeageun Lee, Ikwhang Chang, Jong Dae Baek and Suk Won Cha
Energies 2020, 13(8), 1989; https://doi.org/10.3390/en13081989 - 17 Apr 2020
Cited by 5 | Viewed by 2181
Abstract
Metal/NiO-Smarium-doped ceria (SDC) nano-composite thin film anodes were deposited on anodic aluminum oxide by co-sputtering to enhance the in-plane current-collecting ability and investigated by varying the composition of metal materials (Pt and Au). Full fuel cells with these nano-composites were fabricated and tested [...] Read more.
Metal/NiO-Smarium-doped ceria (SDC) nano-composite thin film anodes were deposited on anodic aluminum oxide by co-sputtering to enhance the in-plane current-collecting ability and investigated by varying the composition of metal materials (Pt and Au). Full fuel cells with these nano-composites were fabricated and tested at 500 °C. Columnar anodes with a sponge structure were fabricated by varying the DC sputtering source power and they were thermally stable at the operating temperature. By adding metal material, the ohmic resistance, including the current collecting resistance, was drastically reduced and the polarization resistance also decreased. The nano-composite electrode with a Pt content of 61 at% showed the highest performance, which is a maximum power density of 212.5 mW/cm2 at 500 °C. In addition, Au was considered to reduce the current collecting resistance and the corresponding power density was 3 times higher than that with the NiO-SDC anode. Full article
(This article belongs to the Special Issue Advanced Thin Film Fuel Cells and Polymer Electrolyte Fuel Cells)
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11 pages, 2888 KiB  
Article
A Study of Anode-Supported Solid Oxide Fuel Cell Modeling and Optimization Using Neural Network and Multi-Armed Bandit Algorithm
by Changhee Song, Sanghoon Lee, Bonhyun Gu, Ikwhang Chang, Gu Young Cho, Jong Dae Baek and Suk Won Cha
Energies 2020, 13(7), 1621; https://doi.org/10.3390/en13071621 - 2 Apr 2020
Cited by 20 | Viewed by 3065
Abstract
Anode-supported solid oxide fuel cells (SOFCs) model based on artificial neural network (ANN) and optimized design variables were modeled. The input parameters of the anode-supported SOFC model developed in this study are as follows: current density, temperature, electrolyte thickness, anode thickness, anode porosity, [...] Read more.
Anode-supported solid oxide fuel cells (SOFCs) model based on artificial neural network (ANN) and optimized design variables were modeled. The input parameters of the anode-supported SOFC model developed in this study are as follows: current density, temperature, electrolyte thickness, anode thickness, anode porosity, and cathode thickness. Voltage was estimated from the SOFC model with the input parameters. Numerical results show that the SOFC model constructed in this study can represent the actual SOFC characteristics very well. There are four design parameters to be optimized: electrolyte, anode, cathode thickness, and anode porosity. To derive the optimal combination of the design parameters, we have used a multi-armed bandit algorithm (MAB), and developed a methodology for deriving near-optimal parameter set without searching for all possible parameter sets. Full article
(This article belongs to the Special Issue Advanced Thin Film Fuel Cells and Polymer Electrolyte Fuel Cells)
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