1
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Liu J, Xu P, Liu B, Xi Z, Li Y, Guo L, Guan T, Zhu P, Meng Z, Wang S, Wang H, Xu M. Underwater Biomimetic Lateral Line Sensor Based on Triboelectric Nanogenerator for Dynamic Pressure Monitoring and Trajectory Perception. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2308491. [PMID: 38054766 DOI: 10.1002/smll.202308491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 11/08/2023] [Indexed: 12/07/2023]
Abstract
Developing desirable sensors is crucial for underwater perceptions and operations. The perceiving organs of marine creatures have greatly evolved to react accurately and promptly underwater. Inspired by the fish lateral line, this study proposes a triboelectric dynamic pressure sensor for underwater perception. The biomimetic lateral line sensor (BLLS) has high sensitivity to the disturbance amplitude/frequency, good adaptability to underwater environments and (relative) low cost. The sensors are deployed at the bottom of the test basin to perceive various moving objects, such as a robotic fish, robotic seal, etc. By analyzing the electrical signal of the sensor, the motion parameters of the objects passed over can be obtained. By monitoring signal variations across multiple sensors, the ability to sense different disturbance movement trajectories, including linear and angular trajectories, is achievable. The study will prove significant in forming an unconventional underwater perceiving method, which can back-up the sonic/optical sensors when are impaired in complex underwater environments.
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Affiliation(s)
- Jianhua Liu
- Dalian Key Lab of Marine Micro/Nano Energy and Self-powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China
| | - Peng Xu
- Dalian Key Lab of Marine Micro/Nano Energy and Self-powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China
- Intelligent Biomimetic Design Lab, College of Engineering, Peking University, Beijing, 100871, China
| | - Bo Liu
- Dalian Key Lab of Marine Micro/Nano Energy and Self-powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China
| | - Ziyue Xi
- Dalian Key Lab of Marine Micro/Nano Energy and Self-powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China
| | - Yuanzheng Li
- Dalian Key Lab of Marine Micro/Nano Energy and Self-powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China
| | - Linan Guo
- Dalian Key Lab of Marine Micro/Nano Energy and Self-powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China
| | - Tangzhen Guan
- Dalian Key Lab of Marine Micro/Nano Energy and Self-powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China
- Liquid Metal and Cryogenic Biomedical Research Center, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing, 100190, China
| | - Peng Zhu
- Dalian Key Lab of Marine Micro/Nano Energy and Self-powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China
| | - Zhaochen Meng
- Dalian Key Lab of Marine Micro/Nano Energy and Self-powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China
| | - Siyuan Wang
- Dalian Key Lab of Marine Micro/Nano Energy and Self-powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China
| | - Hao Wang
- Dalian Key Lab of Marine Micro/Nano Energy and Self-powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China
| | - Minyi Xu
- Dalian Key Lab of Marine Micro/Nano Energy and Self-powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China
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2
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Yang C, Hu J, Liu L, Wu S, Pan M, Liu Y, Wang H, Li P, Zhang Q, Qiu W, Luo H. An underwater vest containing an antioxidant MXene hydrogel for sensitive recognition of fish locomotion. MICROSYSTEMS & NANOENGINEERING 2024; 10:41. [PMID: 38523657 PMCID: PMC10957866 DOI: 10.1038/s41378-024-00675-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 12/11/2023] [Accepted: 12/29/2023] [Indexed: 03/26/2024]
Abstract
The perception of fish locomotion is important for understanding their adaptive behaviors and ethological characteristics. However, the main strategy used for extracting fish attitudes involves the use of a vision-based monitoring system, which is limited in its range of observation and cannot perform tracking for long times. Here, we report the use of a wearable tagging electronic device, referred to as an underwater vest, to capture the surrounding flow field disturbances triggered by swimming or momentary postural changes. All of these goals were achieved by integrating a pair of pseudocapacitive pressure-sensing units and a flexible circuit board. Notably, additional conditions, such as variable hydraulic pressures and minimal changes in fish posture, require high stability and sensitivity of the sensing units. Thus, hybrid hydrogel electrodes were developed through cross-linking MXene with holey-reduced graphene oxide nanosheets and further modification with 1-ethyl-3-methylimidazolium dicyanamide ionic liquids, which increased the interfacial capacitance and long-term interfacial activity of the MXene. Consequently, the sensing unit exhibited ultrahigh sensitivity (Smax~136,207 kPa-1) in an aquatic environment for 60 days and superior high-pressure resolution (10 Pa) within a wide working range of 1 MPa. Ultimately, an underwater vest integrated with such sensing units clearly distinguished and recorded fish locomotion. We believe that the designed device may open avenues in flow field monitoring and ocean current detection and provide new insights into the development of sensitive underwater tagging.
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Affiliation(s)
- Chengxiu Yang
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, 410073 China
| | - Jiafei Hu
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, 410073 China
| | - Lihui Liu
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, 410073 China
| | - Shaowei Wu
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, 410073 China
| | - Mengchun Pan
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, 410073 China
| | - Yan Liu
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, 410073 China
| | - Haomiao Wang
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, 410073 China
| | - Peisen Li
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, 410073 China
| | - Qi Zhang
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, 410073 China
| | - Weicheng Qiu
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, 410073 China
| | - Huihui Luo
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, 410073 China
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3
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Ma Z, Zhao J, Yu L, Yan M, Liang L, Wu X, Xu M, Wang W, Yan S. A Review of Energy Supply for Biomachine Hybrid Robots. CYBORG AND BIONIC SYSTEMS 2023; 4:0053. [PMID: 37766796 PMCID: PMC10521967 DOI: 10.34133/cbsystems.0053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 09/02/2023] [Indexed: 09/29/2023] Open
Abstract
Biomachine hybrid robots have been proposed for important scenarios, such as wilderness rescue, ecological monitoring, and hazardous area surveying. The energy supply unit used to power the control backpack carried by these robots determines their future development and practical application. Current energy supply devices for control backpacks are mainly chemical batteries. To achieve self-powered devices, researchers have developed solar energy, bioenergy, biothermal energy, and biovibration energy harvesters. This review provides an overview of research in the development of chemical batteries and self-powered devices for biomachine hybrid robots. Various batteries for different biocarriers and the entry points for the design of self-powered devices are outlined in detail. Finally, an overview of the future challenges and possible directions for the development of energy supply devices used to biomachine hybrid robots is provided.
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Affiliation(s)
- Zhiyun Ma
- School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, P. R. China
| | - Jieliang Zhao
- School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, P. R. China
| | - Li Yu
- School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, P. R. China
| | - Mengdan Yan
- School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, P. R. China
| | - Lulu Liang
- School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, P. R. China
| | - Xiangbing Wu
- School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, P. R. China
| | - Mengdi Xu
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Wenzhong Wang
- School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, P. R. China
| | - Shaoze Yan
- Department of Mechanical Engineering, Tsinghua University, Beijing 100084, P. R. China
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4
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Zhang X, Liu M, Zhang Z, Min H, Wang C, Hu G, Yang T, Luo S, Yu B, Huang T, Zhu M, Yu H. Highly Durable Bidirectional Rotary Triboelectric Nanogenerator with a Self-Lubricating Texture and Self-Adapting Contact Synergy for Wearable Applications. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023; 19:e2300890. [PMID: 37246273 DOI: 10.1002/smll.202300890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 05/03/2023] [Indexed: 05/30/2023]
Abstract
Sliding-freestanding triboelectric nanogenerators (SF-TENGs) are desirable for application in wearable power sources; however, improving their durability is the primary challenge. Meanwhile, few studies focus on enhancing the service life of tribo-materials, especially from an anti-friction perspective during dry operation. Herein, for the first time, a surface-textured film with self-lubricating property is introduced into the SF-TENG as a tribo-material, which is obtained by the self-assembly of hollow SiO2 microspheres (HSMs) close to a polydimethylsiloxane (PDMS) surface under vacuum conditions. The PDMS/HSMs film with micro-bump topography simultaneously reduces the dynamic coefficient of friction from 1.403 to 0.195 and increases the electrical output of SF-TENG by an order of magnitude. Subsequently, a textured film and self-adapting contact synergized bidirectional rotary TENG (TAB-TENG) is developed, and the superiorities of the soft flat rotator with bidirectional reciprocating rotation are systematically investigated. The obtained TAB-TENG exhibits a remarkable output stability and an outstanding mechanical durability over 350 000 cycles. Furthermore, a smart foot system for stepping energy harvesting and wireless walking states monitoring is realized. This study proposes a pioneering strategy for extending the lifetime of SF-TENGs and advances it toward practical wearable applications.
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Affiliation(s)
- Xin Zhang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China
| | - Mengjiao Liu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China
| | - Zhiying Zhang
- School of Advanced Materials, Peking University Shenzhen Graduate School, Shenzhen, 518055, China
| | - Hui Min
- College of Information Science and Technology, Donghua University, Shanghai, 201620, China
| | - Ci Wang
- Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China
| | - Guangkai Hu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China
| | - Tonghui Yang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China
| | - Shimin Luo
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China
| | - Bin Yu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China
| | - Tao Huang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China
| | - Meifang Zhu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China
| | - Hao Yu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China
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5
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Sheng T, He Q, Cao Y, Dong Z, Gai Y, Zhang W, Zhang D, Chen H, Jiang Y. Fish-Wearable Piezoelectric Nanogenerator for Dual-Modal Energy Scavenging from Fish-Tailing. ACS APPLIED MATERIALS & INTERFACES 2023; 15:39570-39577. [PMID: 37561408 DOI: 10.1021/acsami.3c08221] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/11/2023]
Abstract
Aiming to develop a self-powered bioelectric tag for fish behavioral studies, here we present a fish-wearable piezoelectric nanogenerator (FWPNG) that can simultaneously harvest the strain energy and the flow impact energy caused by fish-tailing. The FWPNG is fabricated by transferring a 2 μm-thick Nb0.02-Pb(Zr0.6Ti0.4)O3 (PZT) layer from a silicon substrate to a spin-coated polyimide film via a novel zinc oxide (ZnO) release process. The open-circuit voltage of the strain energy harvester reaches 2.3 V under a strain of 1% at an ultra-low frequency of 1 Hz, and output voltage of the impact energy harvester reaches a 0.3 V under a pressure of 82.6 kPa at 1 Hz, which is in good agreement with our theoretical analysis. As a proof-of-concept demonstration, an event-driven underwater acoustic transmitter is developed by utilizing the FWPNG as a trigger switch. Acoustic transmission occurs when the amplitude of fish-tailing is larger than a preset threshold. The dual-modal FWPNG device shows the potential application in self-powered biotags for animal behavioral studies and ocean explorations.
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Affiliation(s)
- Tianyu Sheng
- School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
| | - Qipei He
- School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
| | - Yudong Cao
- School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
| | - Zihao Dong
- School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
| | - Yansong Gai
- School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
| | - Wenqiang Zhang
- College of Engineering, China Agricultural University, Beijing 100083, China
| | - Deyuan Zhang
- School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
| | - Huawei Chen
- School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
| | - Yonggang Jiang
- School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
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6
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Luo H, Du J, Yang P, Shi Y, Liu Z, Yang D, Zheng L, Chen X, Wang ZL. Human-Machine Interaction via Dual Modes of Voice and Gesture Enabled by Triboelectric Nanogenerator and Machine Learning. ACS APPLIED MATERIALS & INTERFACES 2023; 15:17009-17018. [PMID: 36947663 PMCID: PMC10080540 DOI: 10.1021/acsami.3c00566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 03/12/2023] [Indexed: 06/18/2023]
Abstract
With the development of science and technology, human-machine interaction has brought great benefits to the society. Here, we design a voice and gesture signal translator (VGST), which can translate natural actions into electrical signals and realize efficient communication in human-machine interface. By spraying silk protein on the copper of the device, the VGST can achieve improved output and a wide frequency response of 20-2000 Hz with a high sensitivity of 167 mV/dB, and the resolution of frequency detection can reach 0.1 Hz. By designing its internal structure, its resonant frequency and output voltage can be adjusted. The VGST can be used as a high-fidelity platform to effectively recover recorded music and can also be combined with machine learning algorithms to realize the function of speech recognition with a high accuracy rate of 97%. It also has good antinoise performance to recognize speech correctly even in noisy environments. Meanwhile, in gesture recognition, the triboelectric translator is able to recognize simple hand gestures and to judge the distance between hand and the VGST based on the principle of electrostatic induction. This work demonstrates that triboelectric nanogenerator (TENG) technology can have great application prospects and significant advantages in human-machine interaction and high-fidelity platforms.
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Affiliation(s)
- Hao Luo
- College
of Mathematics and Physics, Shanghai Key Laboratory of Materials Protection
and Advanced Materials in Electric Power, Shanghai University of Electric Power, Shanghai 200090, China
- Beijing
Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy
of Sciences, Beijing 100083, PR China
| | - Jingyi Du
- College
of Mathematics and Physics, Shanghai Key Laboratory of Materials Protection
and Advanced Materials in Electric Power, Shanghai University of Electric Power, Shanghai 200090, China
- Beijing
Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy
of Sciences, Beijing 100083, PR China
| | - Peng Yang
- Beijing
Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy
of Sciences, Beijing 100083, PR China
- School
of Nanoscience and Technology, University
of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Yuxiang Shi
- Beijing
Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy
of Sciences, Beijing 100083, PR China
- School
of Nanoscience and Technology, University
of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Zhaoqi Liu
- Beijing
Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy
of Sciences, Beijing 100083, PR China
- School
of Nanoscience and Technology, University
of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Dehong Yang
- Beijing
Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy
of Sciences, Beijing 100083, PR China
- School
of Nanoscience and Technology, University
of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Li Zheng
- College
of Mathematics and Physics, Shanghai Key Laboratory of Materials Protection
and Advanced Materials in Electric Power, Shanghai University of Electric Power, Shanghai 200090, China
| | - Xiangyu Chen
- Beijing
Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy
of Sciences, Beijing 100083, PR China
- School
of Nanoscience and Technology, University
of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Zhong Lin Wang
- Beijing
Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy
of Sciences, Beijing 100083, PR China
- School
of Nanoscience and Technology, University
of Chinese Academy of Sciences, Beijing 100049, PR China
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7
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Cao LNY, Xu Z, Wang ZL. Application of Triboelectric Nanogenerator in Fluid Dynamics Sensing: Past and Future. NANOMATERIALS (BASEL, SWITZERLAND) 2022; 12:nano12193261. [PMID: 36234389 PMCID: PMC9565272 DOI: 10.3390/nano12193261] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 09/13/2022] [Accepted: 09/16/2022] [Indexed: 05/29/2023]
Abstract
The triboelectric nanogenerator (TENG) developed by Z. L. Wang's team to harvest random mechanical energy is a promising new energy source for distributed sensing systems in the new era of the internet of things (IoT) and artificial intelligence (AI) for a smart world. TENG has many advantages that make it suitable for a wide range of applications, including energy harvesting, environmental protection, wearable electronics, robotics, and self-powered sensors. Sensing as an important part of TENG applications is gradually expanding, with the in-depth study of TENG sensing in its working principle, material selection, processing technology, system integration, surface treatment, and back-end algorithms by researchers. In industry and academia, fluid dynamics sensing for liquid and air is urgently needed but lacking. In particular, local fluid sensing is difficult and limited to traditional sensors. Fortunately, with advantages for ordinary TENGs and TENGs as fluid dynamics sensors, fluid dynamics sensing can be better realized. Therefore, the paper summarizes the up-to-date work on TENGs as fluid dynamics sensors, discusses the advantages of TENGs as fluid dynamics sensors in-depth, and, most importantly, aims to explore possible new key areas to help guide the future direction of TENG in fluid dynamics sensing by addressing the key challenges.
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Affiliation(s)
- Leo N. Y. Cao
- CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zijie Xu
- CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhong Lin Wang
- CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0245, USA
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8
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Delgado-Alvarado E, Elvira-Hernández EA, Hernández-Hernández J, Huerta-Chua J, Vázquez-Leal H, Martínez-Castillo J, García-Ramírez PJ, Herrera-May AL. Recent Progress of Nanogenerators for Green Energy Harvesting: Performance, Applications, and Challenges. NANOMATERIALS 2022; 12:nano12152549. [PMID: 35893517 PMCID: PMC9331423 DOI: 10.3390/nano12152549] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 07/20/2022] [Accepted: 07/21/2022] [Indexed: 01/25/2023]
Abstract
Natural sources of green energy include sunshine, water, biomass, geothermal heat, and wind. These energies are alternate forms of electrical energy that do not rely on fossil fuels. Green energy is environmentally benign, as it avoids the generation of greenhouse gases and pollutants. Various systems and equipment have been utilized to gather natural energy. However, most technologies need a huge amount of infrastructure and expensive equipment in order to power electronic gadgets, smart sensors, and wearable devices. Nanogenerators have recently emerged as an alternative technique for collecting energy from both natural and artificial sources, with significant benefits such as light weight, low-cost production, simple operation, easy signal processing, and low-cost materials. These nanogenerators might power electronic components and wearable devices used in a variety of applications such as telecommunications, the medical sector, the military and automotive industries, and internet of things (IoT) devices. We describe new research on the performance of nanogenerators employing several green energy acquisition processes such as piezoelectric, electromagnetic, thermoelectric, and triboelectric. Furthermore, the materials, applications, challenges, and future prospects of several nanogenerators are discussed.
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Affiliation(s)
- Enrique Delgado-Alvarado
- Micro and Nanotechnology Research Center, Universidad Veracruzana, Boca del Río 94294, VER, Mexico; (E.D.-A.); (E.A.E.-H.); (J.M.-C.)
- Departamento de Investigación, Instituto Tecnológico Superior de Poza Rica, Tecnológico Nacional de México, Poza Riza 93230, VER, Mexico;
| | - Ernesto A. Elvira-Hernández
- Micro and Nanotechnology Research Center, Universidad Veracruzana, Boca del Río 94294, VER, Mexico; (E.D.-A.); (E.A.E.-H.); (J.M.-C.)
| | - José Hernández-Hernández
- Facultad de Ingeniería Mecánica y Ciencias Navales, Universidad Veracruzana, Boca del Río 94294, VER, Mexico
- Maestría en Ingeniería Aplicada, Facultad de Ingeniería de la Construcción y el Hábitat, Universidad Veracruzana, Boca del Río 94294, VER, Mexico
- Correspondence: (J.H.-H.); (A.L.H.-M.); Tel.: +52-2297752000 (J.H.-H.)
| | - Jesús Huerta-Chua
- Departamento de Investigación, Instituto Tecnológico Superior de Poza Rica, Tecnológico Nacional de México, Poza Riza 93230, VER, Mexico;
| | - Héctor Vázquez-Leal
- Facultad de Instrumentación Electrónica, Universidad Veracruzana, Boca del Río 94294, VER, Mexico;
| | - Jaime Martínez-Castillo
- Micro and Nanotechnology Research Center, Universidad Veracruzana, Boca del Río 94294, VER, Mexico; (E.D.-A.); (E.A.E.-H.); (J.M.-C.)
| | | | - Agustín L. Herrera-May
- Micro and Nanotechnology Research Center, Universidad Veracruzana, Boca del Río 94294, VER, Mexico; (E.D.-A.); (E.A.E.-H.); (J.M.-C.)
- Maestría en Ingeniería Aplicada, Facultad de Ingeniería de la Construcción y el Hábitat, Universidad Veracruzana, Boca del Río 94294, VER, Mexico
- Correspondence: (J.H.-H.); (A.L.H.-M.); Tel.: +52-2297752000 (J.H.-H.)
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