Hengyu Guo (郭恒宇)

Hengyu Guo (郭恒宇)

Chongqing University

H-index: 80

Asia-China

Professor Information

University

Chongqing University

Position

___

Citations(all)

20634

Citations(since 2020)

18026

Cited By

8769

hIndex(all)

80

hIndex(since 2020)

75

i10Index(all)

149

i10Index(since 2020)

144

Email

University Profile Page

Chongqing University

Research & Interests List

Nano-micro Energy

Self-powered Sensor

Top articles of Hengyu Guo (郭恒宇)

P-doped W2C nanoparticles for hydrogen evolution reaction powered by a wind-driven triboelectric nanogenerator

Green hydrogen serves as a pivotal energy carrier in the pursuit of carbon neutrality; however, its production is constrained by costly catalysts and bulky power supply. Herein, we demonstrated P-doped W2C nanoparticles anchored on graphene (P @ W2C-C) as an efficient electrocatalyst for the hydrogen evolution reaction, powered by a wind-driven triboelectric nanogenerator (TENG). With an overpotential of just 179 mV and a Tafel slope of 87.8 mV dec−1, P @ W2C-C aligned well with the low power output of TENG. The TENG, utilizing rabbit hair and fluoroethylene propylene (FEP) as fraction materials, achieved a power density of 1.58 W m−2 by harnessing the kinetic energy of low-frequency wind. For demonstration, a hydrogen production rate of 64.5 μL min−1 and a self-awake hydrogen leakage alarm system were successfully realized. Moreover, the hydrogen production cost of this system was …

Authors

Yidi Wang,Jie Chen,Likun Gong,Jiajun Tang,Xingwei Wang,Hengyu Guo,Xiaohong Zhou

Journal

Nano Energy

Published Date

2024/3/1

Research on performance of solid-liquid triboelectric nanogenerators based on anti-rolling tank

In this article, we present an anti-rolling tank solid-liquid triboelectric nanogenerators (ART-SL-TENGs) harvesting dissipated kinetic energy from the ocean in ship stabilizer to tackle the electric energy replenishment problem. The harvester mainly consists of several L-damping plates and U-tank equipped with TENGs. This paper investigates the dynamic processes of water within the tank and the potential distribution of TENGs using parameterized modeling, simulations, and experiments. The effects of external excitation, tank's initial water level, and TENG layout on the performance of ART-SL-TENGs are analyzed. During the roll motion of the tank, the water hits the outer side wall and rebounds towards the inner side wall upon collision. Due to a larger water-TENG contact area, the outer side wall generates more charges transfer than the inner side wall, resulting in a higher open-circuit voltage and a higher power …

Authors

Hao Wu,Runze Rao,Hengyu Guo,Dan Zhang,Xiaowei Li,Li Zhao,Zhongjie Li,Yan Peng

Journal

Applied Energy

Published Date

2024/1/1

Emerging direct current triboelectric nanogenerator for high-entropy mechanical energy harvesting

In the era of the Internet of Things (IoT), the provision of sustainable power to distributed, mobile, and low-power-consumption electronic devices is a critical challenge. To overcome this challenge, the triboelectric nanogenerator (TENG), a highly efficient high-entropy mechanical energy harvesting device, was developed in 2012. This device enables the direct conversion of irregular and low-frequency mechanical energy into pulsed alternating current (AC) signals. However, the incompatibility of most electronic devices with AC signals necessitates rectifier circuits or generators that deliver direct current (DC) signals. In recent years, DC-TENGs have undergone extensive development, achieving significant milestones in various application fields while also facing crucial challenges that require solutions. In this review, three categories of DC-TENG devices with distinct operating mechanisms are comprehensively …

Authors

Jie Chen,RuiLong Guo,HengYu Guo

Published Date

2024/4/16

A predictive method for impedance estimation of triboelectric nanogenerators based on a gated recurrent unit model

Majorities of existing studies aim at investigating the influence of relevant parameters of triboelectric nanogenerators (TENGs) on their electrical output. However, few studies reported the relationship between these parameters and internal impedances of TENGs. In this work, we have firstly achieved accurate prediction for internal impedances of contact-separation TENGs (CS-TENGs) with different combinations of structural and motion parameters through a gated recurrent unit (GRU) model. Specifically, optimal impedances of CS-TENGs with different parameter combinations are obtained through experiments to construct a dataset. Furthermore, we build a novel GRU model with optimized hyperparameters for accurate prediction of internal impedances. Meanwhile, two other methods including back propagation (BP) neural network and convolution neural network (CNN) are used for comparison via two …

Authors

Qin Zhang,Hengyu Guo,Fan Shen,Chen Cao,Jianyong Zheng,Quan Zhang,Yan Peng,Zhongjie Li,Xinghua Xiao

Journal

Nano Energy

Published Date

2024/6/1

Progress on techniques for improving output performance of triboelectric nanogenerators

As a new technology based on the coupled effects of contact electrification and electrostatic induction, triboelectric nanogenerators (TENGs) are already widely studied for energy harvesting and novel sensor design. In recent years, with the progress of material synthesis and device technology, researchers have been developing various working mechanisms and designs to enhance the output performance of TENGs. In this review, the research advance in improving TENG output performance through different strategies is comprehensively reviewed. The main content of this review includes three aspects: surface material modifications of TENGs, mechanical design, power management. Firstly, the basic principles and working modes of TENGs are introduced. Secondly, the surface material selection and treatment methods of TENGs are classified. According to the different treatment methods, the modification …

Authors

Chen Cao,Zhongjie Li,Fan Shen,Qin Zhang,Ying Gong,Hengyu Guo,Yan Peng,Zhong Lin Wang

Published Date

2024

Achieving Self‐Reinforcing Triboelectric‐Electromagnetic Hybrid Nanogenerator by Magnetocaloric and Magnetization Effects of Gadolinium

Triboelectric‐electromagnetic hybrid nanogenerator (TEHG) has emerged as a promising technology for distributed energy harvesting. However, currently reported hybrid generators are straightforward combinations of two functional components. Moreover, inevitable heat from friction intensifies material abrasion and degrades the performance of polymer‐based triboelectric nanogenerators (TENGs). Here, a self‐reinforcing TEHG that harnesses the magnetocaloric and magnetization effects of gadolinium (Gd) is proposed. The synergy between TENG and electromagnetic generator (EMG) renders them an indivisible unit. Leveraging Gd's magnetocaloric effect, an efficient heat transfer mechanism is constructed to cool the tribolayer and strengthen the device's electrical stability. After 80 hours of continuous operation, the optimized TENG occupies a charge decay rate of only 0.32% per hour, significantly …

Authors

Shaokun Gong,Xingwei Wang,Benzhen Tang,Ziyang Xiong,Song Qi,Jie Chen,Peng Yu,Hengyu Guo

Journal

Advanced Materials

Published Date

2024/4/8

High efficiency triboelectric charge capture for high output direct current electricity

Direct current triboelectric nanogenerators (DC-TENGs), based on triboelectrification and corona discharge, exhibit advantages of high output energy and low crest factor. However, the air breakdown that occurs at the interface of tribo-layers due to charge accumulation from triboelectrification results in energy loss. Efficiently capturing triboelectric charges is a great challenge for the improvement of the output energy of DC-TENGs. Herein, we propose a new strategy to efficiently capture triboelectric charges within the interface by rationally arranging charge-collecting electrodes (CCEs), achieving a remarkable 396% enhancement in output charge compared with the conventional electrostatic induction method. The rolling mode constant current TENG, using the reasonable arrangement of CCEs, produces an ultrahigh constant current of 0.51 mA with an ultra-low crest factor of 1.02. This constant current TENG …

Authors

Kaixian Li,Chuncai Shan,Shaoke Fu,Huiyuan Wu,Wencong He,Jian Wang,Gui Li,Qianjin Mu,Shihe Du,Qionghua Zhao,Chenguo Hu,Hengyu Guo

Journal

Energy & Environmental Science

Published Date

2024

Toward Highly Sensitive Ocean-Wave Monitoring With Sliding-Triboelectric Effect: Modeling, Experimental Validation, and Demonstration

In recent years, triboelectric nanogenerators (TENGs) have attracted increasing attention in sensing applications. Numerous studies have confirmed that TENG can be used as a sensor to monitor various environmental parameters. However, these works often concentrate solely on a single parameter. Here, we report a highly sensitive multiparameter triboelectric wave sensor (MTWS), comprising a sliding-mode TENG incorporated into flexible magnet layers, a foam ball buoy, and a connecting bar constrained within a linear bearing. A theoretical model, coupled with magnetic prestress, is formulated to predict the electro-mechano behavior of the sensor in response to actual test waves. The experimental results indicate that external magnetic prestress enhances sensor sensitivity, and the predicted wave height aligns well with the commercial sensor results. Based on the proficient energy transmutation advantage of …

Authors

Yan Peng,Heming Liu,Hengyu Guo,Ying Gong,Fan Shen,Qin Zhang,Zhongjie Li

Journal

IEEE/ASME Transactions on Mechatronics

Published Date

2024/4/18

Professor FAQs

What is Hengyu Guo (郭恒宇)'s h-index at Chongqing University?

The h-index of Hengyu Guo (郭恒宇) has been 75 since 2020 and 80 in total.

What are Hengyu Guo (郭恒宇)'s research interests?

The research interests of Hengyu Guo (郭恒宇) are: Nano-micro Energy, Self-powered Sensor

What is Hengyu Guo (郭恒宇)'s total number of citations?

Hengyu Guo (郭恒宇) has 20,634 citations in total.

What are the co-authors of Hengyu Guo (郭恒宇)?

The co-authors of Hengyu Guo (郭恒宇) are Zhong Lin Wang, Zhen Wen (文震), Min-Hsin Yeh (葉旻鑫), Jie Chen.

Co-Authors

H-index: 306
Zhong Lin Wang

Zhong Lin Wang

Georgia Institute of Technology

H-index: 62
Zhen Wen (文震)

Zhen Wen (文震)

Soochow University

H-index: 45
Min-Hsin Yeh (葉旻鑫)

Min-Hsin Yeh (葉旻鑫)

National Taiwan University of Science and Technology

H-index: 28
Jie Chen

Jie Chen

Chongqing University

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