Design and study of a combining energy harvesting system based on thermoelectric and flapping triboelectric nanogenerator

Shi, Yang; Zhao, Cong; Liu, Jianhao; Wang, Qianqian; Wang, Yan; Fan, Yuhang; Zhao, Kaiyuan; Shan, Baichuan; Qu, Zhiyu; Ma, Kefei; Xu, Minyi; Pan, Xinxiang

doi:10.1080/15435075.2021.1904405

Cited by 17 publications

(5 citation statements)

References 24 publications

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“…This device can independently or simultaneously obtain solar and wind energy from the environment and use them as energy for sensors and wireless transmission devices in the system. Compared with individual TEG and TENG units, the charging voltage of this device increased by 93.3% and 28.9%, respectively [98].…”

Section: Alternating Operation Strategymentioning

confidence: 92%

“…(g) Structural design and detailed components of the proposed whirligig-HNG; electrical output performance of the TENG at different frequencies of pulling force, which include V OC (h), I SC (i); reprinted from [97] with permission from Springer. (j) The structure of the hybrid generator; (k) output voltage and (l) current of the TENG part; reprinted from [98] with permission from Elsevier.…”

Section: Alternating Operation Strategymentioning

confidence: 99%

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From Triboelectric Nanogenerator to Hybrid Energy Harvesters: A Review on the Integration Strategy toward High Efficiency and Multifunctionality

Wang,

Cao

2023

Materials

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The rapid development of smart devices and electronic products puts forward higher requirements for power supply components. As a promising solution, hybrid energy harvesters that are based on a triboelectric nanogenerator (HEHTNG) show advantages of both high energy harvesting efficiency and multifunctionality. Aiming to systematically elaborate the latest research progress of a HEHTNG, this review starts by introducing its working principle with a focus on the combination of triboelectric nanogenerators with various other energy harvesters, such as piezoelectric nanogenerators, thermoelectric/pyroelectric nanogenerators, solar cells, and electromagnetic nanogenerators. While the performance improvement and integration strategies of HEHTNG toward environmental energy harvesting are emphasized, the latest applications of HEHTNGs as multifunctional sensors in human health detection are also illustrated. Finally, we discuss the main challenges and prospects of HEHTNGs, hoping that this work can provide a clear direction for the future development of intelligent energy harvesting systems for the Internet of Things.

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Section: Alternating Operation Strategymentioning

confidence: 92%

Section: Alternating Operation Strategymentioning

confidence: 99%

From Triboelectric Nanogenerator to Hybrid Energy Harvesters: A Review on the Integration Strategy toward High Efficiency and Multifunctionality

Wang,

Cao

2023

Materials

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“…T‐TENGs are promising methods for harvesting ambient mechanical energy [52]. T‐TENG hybrid energy harvesting topology is characterised by low fabrication cost, high energy‐conversion efficiency [62], long service lifetime, low weight, and low environmental impact [49]. The devices are suitable for use in self‐powered IoT sensors [62].…”

Section: Thermoelectric Generatorsmentioning

confidence: 99%

“…T‐TENG hybrid energy harvesting topology is characterised by low fabrication cost, high energy‐conversion efficiency [62], long service lifetime, low weight, and low environmental impact [49]. The devices are suitable for use in self‐powered IoT sensors [62]. Hybrid TEG/PZT systems generate power [53] by converting vibrational energy through thermal excitation into electric energy.…”

Section: Thermoelectric Generatorsmentioning

confidence: 99%

Thermoelectric energy harvesting for internet of things devices using machine learning: A review

Kucova,

Prauzek,

Konecny

et al. 2023

CAAI Trans on Intel Tech

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Initiatives to minimise battery use, address sustainability, and reduce regular maintenance have driven the challenge to use alternative power sources to supply energy to devices deployed in Internet of Things (IoT) networks. As a key pillar of fifth generation (5G) and beyond 5G networks,IoT is estimated to reach 42 billion devices by the year 2025. Thermoelectric generators (TEGs) are solid state energy harvesters which reliably and renewably convert thermal energy into electrical energy. These devices are able to recover lost thermal energy, produce energy in extreme environments, generate electric power in remote areas, and power micro‐sensors. Applying the state of the art, the authorspresent a comprehensive review of machine learning (ML) approaches applied in combination with TEG‐powered IoT devices to manage and predict available energy. The application areas of TEG‐driven IoT devices that exploit as a heat source the temperature differences found in the environment, biological structures, machines, and other technologies are summarised. Based on detailed research of the state of the art in TEG‐powered devices, the authors investigated the research challenges, applied algorithms and application areas of this technology. The aims of the research were to devise new energy prediction and energy management systems based on ML methods, create supervised algorithms which better estimate incoming energy, and develop unsupervised and semi‐supervised approaches which provide adaptive and dynamic operation. The review results indicate that TEGs are a suitable energy harvesting technology for low‐power applications through their scalability, usability in ubiquitous temperature difference scenarios, and long operating lifetime. However, TEGs also have low energy efficiency (around 10%) and require a relatively constant heat source.

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“…In contrast, hybrid energy harvesting combines multiple energy sources, often including ambient light, radio frequency (RF) signals, and vibrational energy, to create self-sustaining power systems for active RFID tags. This innovation addresses the challenges of battery replacement, extends operational lifetimes [7], and enhances the efficiency of data collection and transmission. Several researches have examined the feasibility of integrating solar energy and RF signals to create energy harvesting systems.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Solar-RF Energy Harvesting System Based on an EM4325-Embedded RFID Tag

Veloo,

Tiang,

Muhammad

et al. 2023

Electronics

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This paper presents the deployment of a hybrid energy harvesting system that combines a wireless energy harvesting (EH) system and a 6 V, 170 mA monocrystalline solar energy derived from the Sun’s rays. The hybrid energy harvesting (HEH) system comprises the rectifier, the solar cell panel, the charging circuit, and the EM4325 embedded RFID tag. This study aims to design an efficient EH system capable of increasing the read range of an active RFID tag. The proposed approach integrates a meandered line radio frequency identification (RFID) tag with an EM4325 IC chip as the receiver antenna. A halfwave doubler RF rectifier circuit is connected to the antenna using a 50 Ω SMA connector to convert the captured RF waves into usable electrical power. A solar energy charging module equipped with a Maximum Power Point Tracking (MPPT) system, a rechargeable lithium-ion battery, and a DC-DC converter is configured to manage and store the harvested energy efficiently. The UHF tag antenna operates at 919 MHz, achieving a peak gain of 3.54 dB. The proposed rectenna achieves a maximum measured harvested power conversion efficiency (PCE) of 55.14% for an input power (Pin) of 15 dBm at a distance of 5.10 cm, while the solar cell panel realizes 3.92 W of power. Experimental results demonstrate the hybrid harvester system’s effectiveness, achieving a PCE of 86.49% at an output voltage (VDC) of 5.35 V. The main advantage of this approach is the creation of a compact hybrid RF and solar EH system by combining the solar cell panel with the antenna, thus enabling multi-functionality.

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Design and study of a combining energy harvesting system based on thermoelectric and flapping triboelectric nanogenerator

Cited by 17 publications

References 24 publications

From Triboelectric Nanogenerator to Hybrid Energy Harvesters: A Review on the Integration Strategy toward High Efficiency and Multifunctionality

From Triboelectric Nanogenerator to Hybrid Energy Harvesters: A Review on the Integration Strategy toward High Efficiency and Multifunctionality

Thermoelectric energy harvesting for internet of things devices using machine learning: A review

A Hybrid Solar-RF Energy Harvesting System Based on an EM4325-Embedded RFID Tag

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