Developing a Novel Design for a Tubular Solid Oxide Fuel Cell Current Collector

Ahmed, Khaled; Ahmed, Mohamed

doi:10.3390/app12126003

Cited by 4 publications

(3 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Current collectors are used to collect or deliver electrons to and from the cell electrodes. The current collectors should be porous enough over the active area of the cell to allow gas flow to the triple phase boundaries (TPB) (Ahmed and Ahmed, 2022). Performance data in the literature, such as area specific resistance (ASR) and power outputs, for fuel cells with similar compositions and fabrication processes may vary…”

Section: Current Collection Methodsmentioning

confidence: 99%

Challenges in practical button cell testing for hydrogen production from high temperature electrolysis of water

Priest,

Gomez,

Kane

et al. 2023

Front. Energy Res.

View full text Add to dashboard Cite

High temperature electrolysis of water using solid oxide electrochemical cells (SOEC) is a promising technology for hydrogen production with high energy efficiency and may promote decarbonization when coupled with renewable energy sources and excess heat from nuclear reactors. Over the past several decades there have been extensive scientific and engineering studies on cell materials and degradation behaviors that have greatly improved current density, decreased total resistance, and lowered degradation rates. Although the technology is now at a near-commercial level, maintaining consistency in cell testing and minimizing variance in practical testing environments is an often overlooked but crucial topic. To promote high quality data collection, testing procedures and balance of plant component details are extremely important to consider. This work discusses some key factors affecting the reproducibility of practical SOEC testing on the button cell level, namely, current collection layers, cell sealing procedures, the reliability of steam and hydrogen delivery systems, cell testing fixture design, and reduction procedures. To provide a baseline and a level of standardization for the SOEC community, this work also discloses details of the standard operating procedure and techniques adopted for o-SOEC testing at Idaho National Laboratory (INL).

show abstract

Section: Current Collection Methodsmentioning

confidence: 99%

Challenges in practical button cell testing for hydrogen production from high temperature electrolysis of water

Priest,

Gomez,

Kane

et al. 2023

Front. Energy Res.

View full text Add to dashboard Cite

show abstract

“…They found that the current density of the designed button-type O-SOFCs was improved significantly to about 108.5% at an average voltage of 0.6 V by operating the cell at a temperature of 1023 K, as well as the oxygen and hydrogen flow rates were maintained at 0.6 L min −1 and 1.8 L min −1 . In addition, it has been found that there are different structures (tubular, button-type) of SOFCs, which were designed and analyzed its behavior through CFD modeling and experimentally [60]. However, in PCFCs, only planar-type stacks were modeled and studied for behavior.…”

Section: Comparison Of Modeling Of Sofc With Pcfcmentioning

confidence: 99%

Computational Fluid Dynamics for Protonic Ceramic Fuel Cell Stack Modeling: A Brief Review

et al. 2022

View full text Add to dashboard Cite

Protonic ceramic fuel cells (PCFCs) are one of the promising and emerging technologies for future energy generation. PCFCs are operated at intermediate temperatures (450–750 °C) and exhibit many advantages over traditional high-temperature oxygen-ion conducting solid oxide fuel cells (O-SOFCs) because they are simplified, have a longer life, and have faster startup times. A clear understanding/analysis of their specific working parameters/processes is required to enhance the performance of PCFCs further. Many physical processes, such as heat transfer, species transport, fluid flow, and electrochemical reactions, are involved in the operation of the PCFCs. These parameters are linked with each other along with internal velocity, temperature, and electric field. In real life, a complex non-linear relationship between these process parameters and their respective output cannot be validated only using an experimental setup. Hence, the computational fluid dynamics (CFD) method is an easier and more effective mathematical-based approach, which can easily change various geometric/process parameters of PCFCs and analyze their influence on its efficiency. This short review details the recent studies related to the application of CFD modeling in the PCFC system done by researchers to improve the electrochemical characteristics of the PCFC system. One of the crucial observations from this review is that the application of CFD modeling in PCFC design optimization is still much less than the traditional O-SOFC.

show abstract

“…As a representative of electrochemical power generation equipment [1,2], the urgency of fuel cell technology needs and the uncertainty of global energy security are increasing. Scientists around the world are actively seeking clean energy that can achieve optimal conversion efficiency [3,4]. The solid oxide fuel cell (SOFC) has become an attractive option for electricity generation due to its efficient electrochemical power generation reaction and environmentally friendly characteristics, with water as the byproduct [5,6].…”

Section: Introductionmentioning

confidence: 99%

A Single-Stack Output Power Prediction Method for High-Power, Multi-Stack SOFC System Requirements

Zhang,

Hu,

Zhao

et al. 2023

Inorganics

View full text Add to dashboard Cite

The prediction of stack output power in solid oxide fuel cell (SOFC) systems is a key technology that urgently needs improvement, which will promote SOFC systems towards high-power multi-stack applications. The accuracy of power prediction directly determines the control effect and working condition recognition accuracy of the SOFC system controller. In order to achieve this goal, a genetic algorithm back propagation (GA-BP) neural network is constructed to predict output power in the SOFC system. By testing 40 sets of sample data collected from the experimental platform, it is found that the GA-BP method overcomes the limitation of the traditional back propagation (BP) method—falling into local optima. Further analysis shows that the average relative error of GA-BP has decreased to 1%. The reduction of the relative error improves the accuracy of the prediction results and the average prediction accuracy. Compared with the long short-term memory (LSTM) and BP algorithm, the GA-BP prediction model significantly reduces the relative error of power output prediction, which provides a solid foundation for multi-stack SOFC systems.

show abstract

Developing a Novel Design for a Tubular Solid Oxide Fuel Cell Current Collector

Cited by 4 publications

References 39 publications

Challenges in practical button cell testing for hydrogen production from high temperature electrolysis of water

Challenges in practical button cell testing for hydrogen production from high temperature electrolysis of water

Computational Fluid Dynamics for Protonic Ceramic Fuel Cell Stack Modeling: A Brief Review

A Single-Stack Output Power Prediction Method for High-Power, Multi-Stack SOFC System Requirements

Contact Info

Product

Resources

About