Electrohydrodynamic jet printed silver-grid electrode for transparent raindrop energy-based triboelectric nanogenerator

Im, Busi; Lee, Seoung‐Ki; Kang, Giho; Moon, Joonkyeong; Byun, Doyoung; Cho, Dae‐Hyun

doi:10.1016/j.nanoen.2022.107049

Cited by 23 publications

(17 citation statements)

References 55 publications

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Section: Prospects and Challengesmentioning

confidence: 99%

“…Busi Im et al further harvest rainwater and solar energy by integrating a highly transparent DEG into solar cells (Figure 9a) using the energy management system with a rectifier (Figure 9b). [70] The DEG consists of glass as the substrate for its high transparency, Ag as the electrode by electrohydrodynamic (EHD) printing, and PDMS as the friction layer by spin coating. The output of the solar cell and the DEG can be harvested by the circuit arrangement with a rectifier.…”

Section: Emerging Applications Of Droplet-based Power Generator and P...mentioning

confidence: 99%

Section: Hybrid Droplet‐based Power Generator With Other Energy Harve...mentioning

confidence: 99%

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Droplet‐Based Electricity Generator toward Practicality: Configuration, Optimization, and Hybrid Integration

Huang

Miao

Dai

et al. 2022

Adv Materials Technologies

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the urgent challenges of continuously increased demand for energy, the most commonly utilized energy source, fossil fuel, is limited and can lead to an energy crisis and severe environmental pollution. Alternative methods, such as green energy including solar, [1] wind, [2] and tide energy [3] that harvest various natural energy to solve the energy crisis, might suffer from a strong dependence on specific conditions and have large and complex equipment.Triboelectric nanogenerator (TENG), portability, [4,5] cost-effectiveness, [6,7] and high-efficiency [8,9] energy harvesting device, has become important milestone in the development of energy harvesting. [10,11] Based on the energy harvesting mechanisms of contact electrification and electrostatic charge induction, various mechanical energy can be converted into electricity. [12] In particular, TENG can convert energy from human motion [13,14] (walking, running, and stretching), [15,16] vibration, [17,18] wind, [19,20] rotating tires, [21] and flowing water, [22,23] which may solve the energy crisis by harnessing the widely distributed natural energy. [24][25][26] The energy harvesting system using TENG can harness natural kinetic energy under specific conditions. [27][28][29] While in the practical application, humidity (i.e., water) greatly eliminates the energy harvesting efficiency. [30,31] In principle, water inevitably impacts the dielectric proproteins of the triboelectric material within TENG and leads to output degradation, which limits TENG's application as a stable energy choice. Given that the movement of the ubiquitously existing water can be artificially controlled, if the triboelectrification energy of water droplets can be harvested properly, it may solve the challenge of the humidity impact on TENG theoretically. Thus, the emerging droplet-based power generators (DEG), one type of TENG, have gradually become the cutting-edge application for stable and robust electricity generation. Based on the significant triboelectric effect between the water and the triboelectric material, [32,33] the energy generated by a single water droplet can light multiple LEDs. [34,35] The DEG may fill the urgent needs for the future energy crisis. [36,37] Here, we summarized the recent research progress of DEGs and their application in energy harvesting. We have provided Electricity is the basic and essential need for every single person and guarantees the development of society, industry, and the economy. The limited conventional fossil fuel meets the challenge of the sharply increasing demand, while may lead to severe pollution. Emerging green energy harvesting systems can convert ambient kinetic, thermal, and solar energy to electricity effectivity. In this review paper, the authors provide an overview of the new and emerging methods, droplet-based electricity generators, that convert energy from the ubiquitously existing water droplets. The authors begin with a brief introduction of the working principle for droplet-based power generators. Existing configurations of...

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Section: Prospects and Challengesmentioning

confidence: 99%

Section: Emerging Applications Of Droplet-based Power Generator and P...mentioning

confidence: 99%

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Droplet‐Based Electricity Generator toward Practicality: Configuration, Optimization, and Hybrid Integration

Huang

Miao

Dai

et al. 2022

Adv Materials Technologies

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“…Electrohydrodynamic jet (E-jet) printing is a new additive manufacturing technology in which a fine solution jet is ejected from the tip of a Taylor cone under the action of an electric field [ 1 ] and deposited on a substrate to form a micro-dot pattern. Due to the advantages of direct writing, noncontact, high resolution, and drop-on-demand, E-jet printing has been applied in biological 3D structures, cell-laden microspheres [ 2 , 3 ], light-emitting diodes [ 4 , 5 ], transistors [ 6 , 7 ], transparent electrodes [ 8 , 9 ], optical micro-lenses [ 10 ], sensors [ 11 , 12 , 13 ], flexible electronic devices [ 14 , 15 , 16 ], and other fields. Under constant DC voltage, the ejection cycle time and droplet diameter, together with the substrate moving speed, determine the quality of an E-jet printing pattern.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Both E-Jet Printing Ejection Cycle Time and Droplet Diameter Based on Random Forest Regression

et al. 2023

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Electrohydrodynamic jet (E-jet) printing has broad application prospects in the preparation of flexible electronics and optical devices. Ejection cycle time and droplet size are two key factors affecting E-jet-printing quality, but due to the complex process of E-jet printing, it remains a challenge to establish accurate relationships among ejection cycle time and droplet diameter and printing parameters. This paper develops a model based on random forest regression (RFR) for E-jet-printing prediction. Trained with 72 groups of experimental data obtained under four printing parameters (voltage, nozzle-to-substrate distance, liquid viscosity, and liquid conductivity), the RFR model achieved a MAPE (mean absolute percent error) of 4.35% and an RMSE (root mean square error) of 0.04 ms for eject cycle prediction, as well as a MAPE of 2.89% and an RMSE of 0.96 μm for droplet diameter prediction. With limited training data, the RFR model achieved the best prediction accuracy among several machine-learning models (RFR, CART, SVR, and ANN). The proposed prediction model provides an efficient and effective way to simultaneously predict the ejection cycle time and droplet diameter, advancing E-jet printing toward the goal of accurate, drop-on-demand printing.

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“…TENG has a simple structure, can harvest irregular low‐frequency mechanical energy, and has a unique advantage in harvesting human motion energy. [ 19,20 ] Furthermore, it is capable of harvesting different forms of energy from the ambience, such as mechanical vibrations, [ 21,22 ] rotations, [ 23,24 ] wind energy, [ 5,6 ] sound waves, [ 25,26 ] water flow, [ 27 ] raindrops, [ 28 ] and waves. [ 9,29 ] Owing to its light weight, high performance and high freedom of material selection, TENG has been widely deployed in wearable electronics, [ 30 ] IOT, [ 31 ] self‐powered sensors, [ 19 ] water energy management, [ 32 ] health monitoring, [ 33 ] and medical care.…”

Section: Introductionmentioning

confidence: 99%

Self‐Healable Triboelectric Nanogenerators: Marriage between Self‐Healing Polymer Chemistry and Triboelectric Devices

Guo

et al. 2022

Adv Funct Materials

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Based on the triboelectrification and electrostatic induction coupling, tribo electric nanogenerators (TENGs) can convert mechanical energy into electrical energy, showing a promising potential in the fields of micro/nano energy and self-powered sensors applications. However, the devices are prone to malfunction due to fatigue and damage, limiting their development and applications. In this review, according to the working modes and operational malfunctions as well as the possible solutions, it is proposed that a robust TENG device can be constructed from three perspectives: self-healing friction layers, self-healing electrodes, and self-healing whole devices. Based on the structure, suitable environment, and self-healing materials, the design ideas and fabrication approaches of self-healing TENGs in recent years are summarized in detail. Finally, the development of self-healing TENGs in energy harvesting and self-powered sensors is outlined. It is the wish to provide insights and guidance for the application design of self-healing TENGs in the future.

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Electrohydrodynamic jet printed silver-grid electrode for transparent raindrop energy-based triboelectric nanogenerator

Cited by 23 publications

References 55 publications

Droplet‐Based Electricity Generator toward Practicality: Configuration, Optimization, and Hybrid Integration

Droplet‐Based Electricity Generator toward Practicality: Configuration, Optimization, and Hybrid Integration

Prediction of Both E-Jet Printing Ejection Cycle Time and Droplet Diameter Based on Random Forest Regression

Self‐Healable Triboelectric Nanogenerators: Marriage between Self‐Healing Polymer Chemistry and Triboelectric Devices

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