Maximizing SOFC performance through optimal parameters identification by modern optimization algorithms

Volume: 138, Pages: 458 - 464
Published: Aug 1, 2019
Abstract
null null A modern optimization algorithm is used for maximizing the performance of solid oxide fuel cell. At first, the cell is modeled using Artificial Neural Networks based on the experimental data sets. Then, a robust, simple, and quick optimization algorithm named radial movement optimizer is used for determining the optimal operating parameters of the cell. The cell parameters used in the optimization process are anode support layer...
Paper Details
Title
Maximizing SOFC performance through optimal parameters identification by modern optimization algorithms
Published Date
Aug 1, 2019
Volume
138
Pages
458 - 464
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