Optimized Parameters of SOFC for steady state and transient simulations using interior search algorithm

A novel application of interior search optimizer (ISO) to define the necessary parameters to model solid-oxide fuel cells (SOFCs) for further studies is presented. Sum of mean squared error (SMSE) is used to formulate the objective function to be optimized by the ISO subject to the validity of prede...

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Veröffentlicht in:	Energy (Oxford) Jg. 166; S. 451 - 461
Hauptverfasser:	El-Hay, E.A., El-Hameed, M.A., El-Fergany, A.A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.01.2019 Elsevier BV
Schlagworte:	Algorithms case studies Computer simulation Controllers Dynamic models Flow rates Flow velocity fuel cells Genetic algorithms grasshoppers hydrogen Load distribution Objective function Optimization Optimization methods oxygen Parameter identification Parameters Parameters' identifications PI-controller Proportional integral Search algorithms SOFC system Solid oxide fuel cells Steady state Steady-state and transient behaviors Transient performance Transient response Viability Steady-state and transient behaviors Parameters' identifications PI-controller Optimization methods SOFC system
ISSN:	0360-5442, 1873-6785
Online-Zugang:	Volltext
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