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Wearable thermoelectric generator for human clothing applications
Authors: Song Mi Lee; M.S. Kim; Hanjo Kim; Yun Jung Kim; Moon-Key Kim; Seungyun Jo;
Abstract
In this study, a wearable thermoelectric generator (TEG) in the flexible fabric is proposed for converting human body heat energy to electrical energy. The wearable TEG is composed of a flexible fabric material, thermoelectric columns (Bi2Te3) and electrical connection based on conductive fabric component. The proposed TEG showed the flexibility and the wearability suitable to be applied to the human body. The TEG was fabricated dispenser printing, and the fabricated device converted applied contact heat into electrical energy (0.98 μV/K). When the TEG applied to the human body, the measured output power was 178 nW in ambient temperature of 5 °C.
Related Organizations
- Yonsei University Korea (Republic of)
- Yonsei University Korea (Republic of)
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).29 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
29
Top 10%
Top 10%
Top 10%