Towards optimized triboelectric nanogenerators

• Published in: Nano energy Vol. 62; pp. 530 - 549
• Main Authors: Dharmasena, R.D.I.G., Silva, S.R.P.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.08.2019
• Subjects: Device optimisation; Energy harvesting; Flexible electronics; Triboelectric nanogenerators; Triboelectric nanogenerators; Energy harvesting; Device optimisation; Flexible electronics
• ISSN: 2211-2855
• DOI: 10.1016/j.nanoen.2019.05.057

The rapid progression of electronic technologies is predicted to enhance the quality of life of the people around the world. A key challenge in achieving these targets is the need to develop sustainable power sources, which can support the ubiquitous and mobile operation of next generation electronic devices. Energy harvesting from ambient mechanical movements is seen as one of the main approaches in powering autonomous low power electronic systems such as wearables and IoT technology. Triboelectric nanogenerators (TENGs) have attracted significant attention in recent years as an emerging mechanical energy harvesting technology, due to numerous advantages over conventional mechanical energy harvesters. In this paper, we present a comprehensive review on the structural, material, motion and environmental parameters affecting the power output of triboelectric nanogenerators. The optimisation strategies for these energy harvesters are discussed, based on the theoretical and experimental studies in the literature. Finally, we discuss the major challenges in this research field, along with the future outlook. Triboelectric Nanogenerators are an upcoming energy harvesting technology, however their output optimisation strategies need to be further developed. A comprehensive analysis on the device, material and motion optimisation methods are provided based on the state-of-the-art experimental and theoretical reports for TENGs. [Display omitted] •Common TENG output trends discussed in relation to charge separation and induction.•Most recent optimisation methods for TENGs are analysed in detail.•Universal optimisation tactics for different TENGs are predicted based on literature.•An insight into the future directions of TENG research is provided.