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Title: Integrated Triboelectric Nanogenerators in the Era of the Internet of Things

Abstract

Since their debut in 2012, triboelectric nanogenerators (TENGs) have attained high performance in terms of both energy density and instantaneous conversion, reaching up to 500 W m-2 and 85%, respectively, synchronous with multiple energy sources and hybridized designs. Here, a comprehensive review of the design guidelines of TENGs, their performance, and their designs in the context of Internet of Things (IoT) applications is presented. The development stages of TENGs in large-scale self-powered systems and technological applications enabled by harvesting energy from water waves or wind energy sources are also reviewed. This self-powered capability is essential considering that IoT applications should be capable of operation anywhere and anytime, supported by a network of energy harvesting systems in arbitrary environments. In addition, this review paper investigates the development of self-charging power units (SCPUs), which can be realized by pairing TENGs with energy storage devices, such as batteries and capacitors. Consequently, different designs of power management circuits, supercapacitors, and batteries that can be integrated with TENG devices are also reviewed. Finally, the significant factors that need to be addressed when designing and optimizing TENG-based systems for energy harvesting and self-powered sensing applications are discussed.

Authors:
ORCiD logo [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [9];  [3]
  1. School of Mechanical and Industrial EngineeringUniversity of Toronto Toronto ON M5S 3G8 Canada, Department of Mechanical EngineeringMcMaster University Hamilton ON L8S 4L8 Canada, School of Biomedical EngineeringMcMaster University Hamilton ON L8S 4L8 Canada
  2. Department of Mechanical EngineeringMcMaster University Hamilton ON L8S 4L8 Canada
  3. Department of Chemistry and Biochemistry and California NanoSystems InstituteUniversity of CaliforniaLos Angeles (UCLA) Los Angeles CA 90095 USA, Department of Materials Science and EngineeringUCLA Los Angeles CA 90095 USA
  4. School of Mechanical and Industrial EngineeringUniversity of Toronto Toronto ON M5S 3G8 Canada
  5. Division of Advanced Materials EngineeringChonbuk National University Jeonju Jeonbuk 54896 Republic of Korea
  6. Department of Mechanical EngineeringMcMaster University Hamilton ON L8S 4L8 Canada, School of Biomedical EngineeringMcMaster University Hamilton ON L8S 4L8 Canada
  7. Schaefer School of Engineering and Science at Stevens Institute of Technology Hoboken NJ 07030 USA
  8. Department of Mechanical and Aerospace Engineering and Research and Education in EnergyEnvironment and Water (RENEW) InstituteUniversity at BuffaloThe State University of New York Buffalo NY 14260 USA
  9. Department of Materials Science and EngineeringThe Pennsylvania State University University Park PA 16802 USA
Publication Date:
Research Org.:
State Univ. of New York (SUNY), Albany, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1567900
Alternate Identifier(s):
OSTI ID: 1567902; OSTI ID: 1623472
Grant/Contract Number:  
DE‐SC0018631; SC0018631
Resource Type:
Published Article
Journal Name:
Advanced Science
Additional Journal Information:
Journal Name: Advanced Science Journal Volume: 6 Journal Issue: 24; Journal ID: ISSN 2198-3844
Publisher:
Wiley Blackwell (John Wiley & Sons)
Country of Publication:
Germany
Language:
English
Subject:
Chemistry; Science & Technology - Other Topics; Materials Science

Citation Formats

Ahmed, Abdelsalam, Hassan, Islam, El‐Kady, Maher F., Radhi, Ali, Jeong, Chang Kyu, Selvaganapathy, Ponnambalam Ravi, Zu, Jean, Ren, Shenqiang, Wang, Qing, and Kaner, Richard B. Integrated Triboelectric Nanogenerators in the Era of the Internet of Things. Germany: N. p., 2019. Web. doi:10.1002/advs.201802230.
Ahmed, Abdelsalam, Hassan, Islam, El‐Kady, Maher F., Radhi, Ali, Jeong, Chang Kyu, Selvaganapathy, Ponnambalam Ravi, Zu, Jean, Ren, Shenqiang, Wang, Qing, & Kaner, Richard B. Integrated Triboelectric Nanogenerators in the Era of the Internet of Things. Germany. doi:10.1002/advs.201802230.
Ahmed, Abdelsalam, Hassan, Islam, El‐Kady, Maher F., Radhi, Ali, Jeong, Chang Kyu, Selvaganapathy, Ponnambalam Ravi, Zu, Jean, Ren, Shenqiang, Wang, Qing, and Kaner, Richard B. Mon . "Integrated Triboelectric Nanogenerators in the Era of the Internet of Things". Germany. doi:10.1002/advs.201802230.
@article{osti_1567900,
title = {Integrated Triboelectric Nanogenerators in the Era of the Internet of Things},
author = {Ahmed, Abdelsalam and Hassan, Islam and El‐Kady, Maher F. and Radhi, Ali and Jeong, Chang Kyu and Selvaganapathy, Ponnambalam Ravi and Zu, Jean and Ren, Shenqiang and Wang, Qing and Kaner, Richard B.},
abstractNote = {Since their debut in 2012, triboelectric nanogenerators (TENGs) have attained high performance in terms of both energy density and instantaneous conversion, reaching up to 500 W m-2 and 85%, respectively, synchronous with multiple energy sources and hybridized designs. Here, a comprehensive review of the design guidelines of TENGs, their performance, and their designs in the context of Internet of Things (IoT) applications is presented. The development stages of TENGs in large-scale self-powered systems and technological applications enabled by harvesting energy from water waves or wind energy sources are also reviewed. This self-powered capability is essential considering that IoT applications should be capable of operation anywhere and anytime, supported by a network of energy harvesting systems in arbitrary environments. In addition, this review paper investigates the development of self-charging power units (SCPUs), which can be realized by pairing TENGs with energy storage devices, such as batteries and capacitors. Consequently, different designs of power management circuits, supercapacitors, and batteries that can be integrated with TENG devices are also reviewed. Finally, the significant factors that need to be addressed when designing and optimizing TENG-based systems for energy harvesting and self-powered sensing applications are discussed.},
doi = {10.1002/advs.201802230},
journal = {Advanced Science},
number = 24,
volume = 6,
place = {Germany},
year = {2019},
month = {9}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1002/advs.201802230

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Cited by: 8 works
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