Human Energy Harvesting – A Flexible Bionic Composite MTEG‐TENG Based on the Shared Substrate with Characteristic Doping

Abstract Traditional wearable devices for underwater exploration face significant energy supply challenges, impacting mission efficiency and safety. To address this, the study introduces an innovative composite energy harvesting method that integrates a flexible micro thermoelectric generator and a triboelectric nanogenerator (MTEG‐TENG) within a shared substrate architecture. This study also develops a theoretical model of energy harvesting based on human thermal and kinetic energy. A prototype is created, featuring a flexible bionic seagrass‐like TENG (BS‐TENG) and a flexible bionic leaf‐like MTEG (BL‐MTEG), integrated with an energy management unit. A method for preparing Bi 2 Te 3 ‐based thermoelectric materials through characteristic doping is proposed, enhancing the thermoelectric conversion performance. Through the implementation of an innovative thermal interface optimization scheme, the BL‐MTEG unit achieves a 30% increase in output performance. In the experimental setup involving a temperature gradient of 20k, swing angular speed of 0.5π rad s −1 , and a swing angle of 60°, the prototype successfully powers 51 LEDs and enables the information transmission of the Bluetooth module after processing through the energy harvesting circuit. This performance not only validates the effectiveness of the thermal interface design strategy but also provides a new approach for developing self‐powered technology for underwater wearable devices.

Authors

Institutions

Publication Details

Journal
Advanced Sustainable Systems
Published
2025-04-08
DOI
https://doi.org/10.1002/adsu.202500116
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Human Energy Harvesting – A Flexible Bionic Composite MTEG‐TENG Based on the Shared Substrate with Characteristic Doping

Tong Shao, Zhijie Hao, Changxin Liu, Zheng Sui et al.
Advanced Sustainable Systems
Advanced Sensor and Energy Harvesting Materials
article

Human Energy Harvesting – A Flexible Bionic Composite MTEG‐TENG Based on the Shared Substrate with Characteristic Doping

Tong Shao, Zhijie Hao, Changxin Liu, Zheng Sui, Kailin Lei, Zhenyao Ma, Yuncong Wang
article en

Abstract

Abstract Traditional wearable devices for underwater exploration face significant energy supply challenges, impacting mission efficiency and safety. To address this, the study introduces an innovative composite energy harvesting method that integrates a flexible micro thermoelectric generator and a triboelectric nanogenerator (MTEG‐TENG) within a shared substrate architecture. This study also develops a theoretical model of energy harvesting based on human thermal and kinetic energy. A prototype is created, featuring a flexible bionic seagrass‐like TENG (BS‐TENG) and a flexible bionic leaf‐like MTEG (BL‐MTEG), integrated with an energy management unit. A method for preparing Bi 2 Te 3 ‐based thermoelectric materials through characteristic doping is proposed, enhancing the thermoelectric conversion performance. Through the implementation of an innovative thermal interface optimization scheme, the BL‐MTEG unit achieves a 30% increase in output performance. In the experimental setup involving a temperature gradient of 20k, swing angular speed of 0.5π rad s −1 , and a swing angle of 60°, the prototype successfully powers 51 LEDs and enables the information transmission of the Bluetooth module after processing through the energy harvesting circuit. This performance not only validates the effectiveness of the thermal interface design strategy but also provides a new approach for developing self‐powered technology for underwater wearable devices.

Advanced Sustainable SystemsVol. 9(6)
Dalian Medical University (CN), Second Affiliated Hospital of Dalian Medical University (CN), Dalian Maritime University (CN)
Openalex Percentile: Top 93%
Advanced Sensor and Energy Harvesting Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.