Optimal design of a segmented thermoelectric generator based on three-dimensional numerical simulation and multi-objective genetic algorithm

This paper proposes a general method to optimize the structure and load current for a segmented thermoelectric generator (TEG) module, where the bismuth telluride is selected as the cold side material, and the skutterudite is selected as the hot side material, respectively. Two objectives, minimum s...

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Veröffentlicht in:	Energy (Oxford) Jg. 147; S. 1060 - 1069
Hauptverfasser:	Ge, Ya, Liu, Zhichun, Sun, Henan, Liu, Wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 15.03.2018 Elsevier BV
Schlagworte:	Algorithms bismuth Bismuth tellurides cold Computer simulation Conduction Conduction heating Conductive heat transfer Design electric generators Electricity generation energy finite element analysis Finite element method Genetic algorithm Genetic algorithms heat Heat transfer Industrial applications Intermetallic compounds Mathematical models Multi-objective optimization Multiple objective analysis Numerical simulation Ohmic dissipation Optimization Peltier effects Performance assessment Semiconductors simulation models Studies Tellurides Thermoelectric generator Thermoelectric generators Thermoelectricity Numerical simulation Multi-objective optimization Thermoelectric generator Genetic algorithm
ISSN:	0360-5442, 1873-6785
Online-Zugang:	Volltext
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