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2 results on '"Renfei Luo"'

1. The application of metaheuristics in optimal parameter identification of solid oxide fuel cell

Author

Renfei Luo and Mohammadreza Shafiee

Subjects
Solid oxide fuel cell, Model identification, Output voltage, Sum of squared error, Improved red fox optimization algorithm, Optimization, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

This study suggests a new optimized model for optimum identification of the unknown variables in a Solid Oxide (SO) fuel cell. The method is conditioned by designing an improved version of metaheuristics to improve the effectiveness of the original method and using it by the Sum of Squared Error (SSE) minimization between the model and the experimental data including output voltage. The metaheuristic is based on a new improved model of a new metaheuristic, called the Red Fox Optimization Algorithm (IRFO). To assess the method’s accuracy and its consistency, it is validated by various pressure and temperature functional conditions. The results showed that the error value of the produced power by different temperatures is lower than 0.0073 kW and the error value of the output voltage by different temperatures is lower than 0.16 V which is a promising result for stack identification. Also, the achievements of the algorithm are compared with several approaches from the literature. The final results show a satisfying verification between the empirical and the optimized technique

Published
2021
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2. The application of metaheuristics in optimal parameter identification of solid oxide fuel cell

Author

Mohammadreza Shafiee and Renfei Luo

Subjects
Optimization, Mathematical optimization, Mean squared error, 020209 energy, 02 engineering and technology, Sum of squared error, Improved red fox optimization algorithm, Power (physics), TK1-9971, Model identification, Identification (information), General Energy, 020401 chemical engineering, Stack (abstract data type), Solid oxide fuel cell, Output voltage, 0202 electrical engineering, electronic engineering, information engineering, Minification, Electrical engineering. Electronics. Nuclear engineering, 0204 chemical engineering, Metaheuristic, Mathematics, Voltage
Abstract

This study suggests a new optimized model for optimum identification of the unknown variables in a Solid Oxide (SO) fuel cell. The method is conditioned by designing an improved version of metaheuristics to improve the effectiveness of the original method and using it by the Sum of Squared Error (SSE) minimization between the model and the experimental data including output voltage. The metaheuristic is based on a new improved model of a new metaheuristic, called the Red Fox Optimization Algorithm (IRFO). To assess the method’s accuracy and its consistency, it is validated by various pressure and temperature functional conditions. The results showed that the error value of the produced power by different temperatures is lower than 0.0073 kW and the error value of the output voltage by different temperatures is lower than 0.16 V which is a promising result for stack identification. Also, the achievements of the algorithm are compared with several approaches from the literature. The final results show a satisfying verification between the empirical and the optimized technique

Published
2021

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