Nanogenerators: Energy Harvesting and Self-Powered Systems

Nanogenerators (NGs) are a class of tiny devices, ranging in size from less than a mm to a few cm, which convert ambient thermal/mechanical/chemical energy into electricity. With their growing importance in powering micro- and nano-devices, e.g. biosensors and Internet of Things (IoT) applications, they have become a focal point of research. An overview of current advancements in NG technologies, including piezoelectric, triboelectric, thermoelectric and pyroelectric NGs - providing 70 of the latest references are presented herein. The paper discusses the underlying mechanisms, fabrication techniques, material innovations and applications. Future perspectives and barriers are addressed to present a holistic understanding of this evolving technology.

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Published
2024-12-18
DOI
https://doi.org/10.1109/contesa64738.2024.10891288
Primary Topic
Advanced Memory and Neural Computing
Type
article
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article

Nanogenerators: Energy Harvesting and Self-Powered Systems

Maaruf Ali, Rea Bitri
Advanced Memory and Neural Computing
article

Nanogenerators: Energy Harvesting and Self-Powered Systems

Maaruf Ali, Rea Bitri
article en

Abstract

Nanogenerators (NGs) are a class of tiny devices, ranging in size from less than a mm to a few cm, which convert ambient thermal/mechanical/chemical energy into electricity. With their growing importance in powering micro- and nano-devices, e.g. biosensors and Internet of Things (IoT) applications, they have become a focal point of research. An overview of current advancements in NG technologies, including piezoelectric, triboelectric, thermoelectric and pyroelectric NGs - providing 70 of the latest references are presented herein. The paper discusses the underlying mechanisms, fabrication techniques, material innovations and applications. Future perspectives and barriers are addressed to present a holistic understanding of this evolving technology.

Beijing Institute of Technology (CN), Universiteti Metropolitan Tirana (AL)
Affordable and clean energy
Openalex Percentile: Top 75%
Advanced Memory and Neural Computing
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