A comprehensive review on triboelectric nanogenerators based on Real-Time applications in energy harvesting and Self-Powered sensing

Munirathinam, Prabavathi; Mathew, Ammu Anna; Shanmugasundaram, Vivekanandan; Vivekananthan, Venkateswaran; Purusothaman, Yuvasree; Kim, Sang‐Jae; Chandrasekhar, Arunkumar

doi:10.1016/j.mseb.2023.116762

Cited by 21 publications

(11 citation statements)

References 113 publications

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“…Triboelectric energy harvesting is based on mechanical rubbing and electron transfer [40]. Triboelectric nanogenerators are nanodevices that harvest biomechanical energy from human body movement [216,217]; they couple the triboelectric effect and electrostatic induction to convert mechanical energy into electricity [41]. Proper choice of materials and structures enhances performance [216,218,219].…”

Section: An Overview Of New Trends-the Latest Concepts and Propulsive...mentioning

confidence: 99%

“…Triboelectric nanogenerators are nanodevices that harvest biomechanical energy from human body movement [216,217]; they couple the triboelectric effect and electrostatic induction to convert mechanical energy into electricity [41]. Proper choice of materials and structures enhances performance [216,218,219]. Many designs and combinations of materials have been developed and fabricated.…”

Section: An Overview Of New Trends-the Latest Concepts and Propulsive...mentioning

confidence: 99%

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Smart Textiles: A Review and Bibliometric Mapping

Sajovic,

Kert,

Boh Podgornik

2023

Preprint

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According to ISO/TR 23383, smart textiles reversibly interact with their environment and respond or adapt to changes in the environment. The present review and bibliometric analysis was performed on 5,810 documents (1989–2022) from the Scopus database, using VOSviewer and Bibliometrix/Biblioshiny for science mapping. The results show that the field of smart textiles is highly interdisciplinary and dynamic, with an average growth rate of 22% and exponential growth in the last 10 years. Beeby, S.P., and Torah, R.N. have published the highest number of papers, while Wang, Z.L. has the highest number of citations. The leading journals are Sensors, ACS Applied Materials and Interfaces, and Textile Research Journal, while Advanced Materials has the highest number of citations. China is the country with the most publications and the most extensive cooperative relationships with other countries. Research on smart textiles is largely concerned with new materials and technologies, particularly in relation to electronic textiles. Recent research focuses on energy generation (triboelectric nanogenerators, thermoelectrics, Joule heating), conductive materials (MXenes, liquid metal, silver nanoparticles), sensors (strain sensors, self-powered sensors, gait analysis), specialty products (artificial muscles, soft robotics, EMI shielding), and advanced properties of smart textiles (self-powered, self-cleaning, washable, sustainable smart textiles).

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Section: An Overview Of New Trends-the Latest Concepts and Propulsive...mentioning

confidence: 99%

Section: An Overview Of New Trends-the Latest Concepts and Propulsive...mentioning

confidence: 99%

Smart Textiles: A Review and Bibliometric Mapping

Sajovic,

Kert,

Boh Podgornik

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…[15][16][17] Wearable electronics continue to improve the quality of human life and unlock new opportunities in materials, electronics, physics, chemistry, biology, medicine, and manufacturing. 18,19 In particular, wearable sensors that can monitor human motion have demonstrated outstanding potential in sports. Meanwhile, with the impressive evolution of fifth-generation wireless networks, the delay in information transmission can be ignored.…”

Section: Introductionmentioning

confidence: 99%

Triboelectric gait sensing analysis system for self‐powered IoT‐based human motion monitoring

Zhao,

Guo,

Pan

et al. 2024

InfoMat

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Quantitative analysis of gait parameters, such as stride frequency and step speed, is essential for optimizing physical exercise for the human body. However, the current electronic sensors used in human motion monitoring remain constrained by factors such as battery life and accuracy. This study developed a self‐powered gait analysis system (SGAS) based on a triboelectric nanogenerator (TENG) fabricated electrospun composite nanofibers for motion monitoring and gait analysis for regulating exercise programs. The SGAS consists of a sensing module, a charging module, a data acquisition and processing module, and an Internet of Things (IoT) platform. Within the sensing module, two specialized sensing units, TENG‐S1 and TENG‐S2, are positioned at the forefoot and heel to generate synchronized signals in tandem with the user's footsteps. These signals are instrumental for real‐time step count and step speed monitoring. The output of the two TENG units is significantly improved by systematically investigating and optimizing the electrospun composite nanofibers' composition, strength, and wear resistance. Additionally, a charge amplifier circuit is implemented to process the raw voltage signal, consequently bolstering the reliability of the sensing signal. This refined data is then ready for further reading and calculation by the micro‐controller unit (MCU) during the signal transmission process. Finally, the well‐conditioned signals are wirelessly transmitted to the IoT platform for data analysis, storage, and visualization, enhancing human motion monitoring.image

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“…As most of these systems will be operated predominantly indoors, there is a limited number of energy harvesting technologies available to provide power remotely. Heat (thermoelectricity), [3][4][5] mechanical vibration/movement (piezo-and tribo-electricity), [6,7] harvesting energy from radio frequencies available in the environment, [8] and ambient light (photovoltaics [PVs]) [9] have been considered in detail. Under typical indoor conditions, all of them provide only moderate/low power density, and converting ambient light into electricity appears to be the most promising power source.…”

Section: Introductionmentioning

confidence: 99%

Efficiency of Emerging Photovoltaic Devices under Indoor Conditions

Scharber

2023

Solar RRL

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Emerging photovoltaic (PV) technologies are considered to be excellent candidates to be used as power sources for indoor and low‐light applications. The already demonstrated high power conversion efficiencies (PCEs) and the potential to manufacture perovskite, organic, or dye‐sensitized solar cells at low cost make them particularly interesting. In this work, the maximum PCE of PV devices under low‐light conditions is explored. The role of spectral mismatch, non‐radiative recombination, and parasitic Ohmic losses is investigated. The performed calculation provides guidelines to improve the low‐light performance of PV devices for ambient light. In addition, a simple measurement procedure for the indoor PCE is discussed.

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A comprehensive review on triboelectric nanogenerators based on Real-Time applications in energy harvesting and Self-Powered sensing

Cited by 21 publications

References 113 publications

Smart Textiles: A Review and Bibliometric Mapping

Smart Textiles: A Review and Bibliometric Mapping

Triboelectric gait sensing analysis system for self‐powered IoT‐based human motion monitoring

Efficiency of Emerging Photovoltaic Devices under Indoor Conditions

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