Performance optimization of thermoelectric generators designed by multi-objective genetic algorithm

[Display omitted] •Output power and efficiency of a TEG system using waste heat from heat pipes are studied.•Geometry of TEG elements is optimized using a multi-objective genetic algorithm (MOGA).•The output power the TEG with optimization can be increased by about 51.9%.•The output power can be fur...

Full description

Saved in:

Bibliographic Details
Published in:	Applied energy Vol. 209; pp. 211 - 223
Main Authors:	Chen, Wei-Hsin, Wu, Po-Hua, Lin, Yu-Li
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.01.2018
Subjects:	algorithms ambient temperature electric generators geometry Heat pipes heat transfer Impedance matching industry Multi-objective genetic algorithm (MOGA) Optimization Output power and efficiency pipes prediction Thermoelectric generator wastes Multi-objective genetic algorithm (MOGA) Impedance matching Thermoelectric generator Heat pipes Optimization Output power and efficiency
ISSN:	0306-2619, 1872-9118
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!