Geometric optimization of two-stage thermoelectric generator using genetic algorithms and thermodynamic analysis

Multi-objective genetic algorithms are used to optimize the structure, assignment of configuration and load resistance of a two-stage thermoelectric generator, where Skutterudite and Bi2Te3 are chosen as upper stage and lower stage TE leg materials, respectively. Heat convection and radiation are co...

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Veröffentlicht in:	Energy (Oxford) Jg. 171; S. 37 - 48
Hauptverfasser:	Sun, Henan, Ge, Ya, Liu, Wei, Liu, Zhichun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 15.03.2019 Elsevier BV
Schlagworte:	Algorithms Bismuth tellurides Computer simulation Conduction Conduction heating Conductive heat transfer Convection Destruction Entropy Entropy (Information theory) Entropy generation rate Exergy Exergy destruction rate Genetic algorithms Genetic analysis geometry Leg legs Load distribution Load resistance Multi-objective genetic algorithm Multiple objective analysis Ohmic dissipation Optimization Peltier effects Performance enhancement Power efficiency Resistance heating Seebeck effect simulation models Specific power Substrates Thermodynamics Thermoelectric generator Thermoelectric generators Thermoelectricity Multi-objective genetic algorithm Entropy generation rate Specific power Exergy destruction rate Thermoelectric generator
ISSN:	0360-5442, 1873-6785
Online-Zugang:	Volltext
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