A Study of Anode-Supported Solid Oxide Fuel Cell Modeling and Optimization Using Neural Network and Multi-Armed Bandit Algorithm

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, 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.

Silica: ubiquitous poison of metal oxide interfaces

“…The optimal porosity is therefore variable depending on the materials used (32-75%). 36 Since the rst implementation by Baur and Preis in 1937, the most widely used electrolyte material is yttria-stabilized zirconia (YSZ). 37,38 For lower temperatures, as low as 550 C, alternative materials such as Gd doped CeO 2 have been utilized.…”

Genetic Deep Convolutional Autoencoder Applied for Generative Continuous Arterial Blood Pressure via Photoplethysmography

“…A hybrid AI, combining the extreme learning machine with the cuckoo search algorithm, was applied for biodiesel production [ 18 ]. Meanwhile, a study used neural network with the multi-armed bandit algorithm for solid oxide fuel cell problems [ 19 ]. Moreover, Zaidan et al applied an AI-based model for gas turbine engine inspection [ 20 ].…”

Progress in Material Development for Low-Temperature Solid Oxide Fuel Cells: A Review

“…However, harnessing energy from fossil fuels is associated with two major drawbacks: first, due to the scarcity and exhaustible nature of these fuels, they may fail to satisfy the increasing rate of energy demand in the close future; and second, those fuels eventually lead to an increase in the atmospheric concentrations of greenhouse gases (GHGs) which consequently cause a noticeable change in the climate patterns with a contribution to acid rains, water pollution, air pollution, global warming, etc. [1][2][3][4][5][6]. Thus, a comprehensive and urgent solution shall be developed to tackle both the energy and environmental challenges based on the renewable energy sources (such as solar, wind, hydroelectric power, etc.…”