High-efficiency single-droplet energy harvester for self-sustainable environmental intelligent networks

Our community is still far away from achieving self-sustainable ambient intelligence, since it calls for rational energy layouts to satisfy the ubiquitous power demands from diverse terminal products. Harnessing energy directly from the surroundings thus provides ideal solutions. The majority of exi...

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Main Authors: Wang, Hai Lu, Zhang, Bojian, Chen, Tianyu, Mao, Weining, Wang, Yifan
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/173347
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1733472024-01-29T04:38:47Z High-efficiency single-droplet energy harvester for self-sustainable environmental intelligent networks Wang, Hai Lu Zhang, Bojian Chen, Tianyu Mao, Weining Wang, Yifan School of Mechanical and Aerospace Engineering CINTRA CNRS/NTU/THALES, UMI 3288 Engineering::Mechanical engineering Ambient Intelligence Droplet Energy Our community is still far away from achieving self-sustainable ambient intelligence, since it calls for rational energy layouts to satisfy the ubiquitous power demands from diverse terminal products. Harnessing energy directly from the surroundings thus provides ideal solutions. The majority of existing environmental harvesters rely on sophisticated procedures and expensive or toxic materials; while others attempt to streamline the complexity at the cost of compromising performance. This entails transducers that exhibit superb outputs and also employ cost-effective, even recycled materials and straightforward protocols to render ubiquitous deployments. Here, a high-efficiency droplet energy nanogenerator (DENG) is devised to satisfy all the requirements. The DENG is fabricated by directly coating a composite layer on a recycled digital video disk surface. It achieves superb electricity generation from one droplet, with an output voltage of >190 V at an instantaneous power density of 65 W m−2, and an energy conversion efficiency of 3.60%. Diverse demonstrations confirm the applicability of the DENG in environmental networks, encompassing self-sustainable “on plants” sensing systems, smart building windows, and remote environmental monitoring platforms. In light of these superiorities, it is believed that the DENG may open up new alternative routes for future energy strategies. Agency for Science, Technology and Research (A*STAR) Nanyang Technological University This work was supported in part by A*STAR Singapore throughRIE2020 AME YIRG award (A2084c0162) and RIE2025 MTC IRG award(M21K2c0118), and in part by the NAP award (020482) from Nanyang Technological University. 2024-01-29T04:38:47Z 2024-01-29T04:38:47Z 2023 Journal Article Wang, H. L., Zhang, B., Chen, T., Mao, W. & Wang, Y. (2023). High-efficiency single-droplet energy harvester for self-sustainable environmental intelligent networks. Advanced Energy Materials, 13(45), 2302858-. https://dx.doi.org/10.1002/aenm.202302858 1614-6832 https://hdl.handle.net/10356/173347 10.1002/aenm.202302858 2-s2.0-85174282479 45 13 2302858 en A2084c0162 M21K2c0118 020482 Advanced Energy Materials © 2023 Wiley-VCH GmbH. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Ambient Intelligence
Droplet Energy
spellingShingle Engineering::Mechanical engineering
Ambient Intelligence
Droplet Energy
Wang, Hai Lu
Zhang, Bojian
Chen, Tianyu
Mao, Weining
Wang, Yifan
High-efficiency single-droplet energy harvester for self-sustainable environmental intelligent networks
description Our community is still far away from achieving self-sustainable ambient intelligence, since it calls for rational energy layouts to satisfy the ubiquitous power demands from diverse terminal products. Harnessing energy directly from the surroundings thus provides ideal solutions. The majority of existing environmental harvesters rely on sophisticated procedures and expensive or toxic materials; while others attempt to streamline the complexity at the cost of compromising performance. This entails transducers that exhibit superb outputs and also employ cost-effective, even recycled materials and straightforward protocols to render ubiquitous deployments. Here, a high-efficiency droplet energy nanogenerator (DENG) is devised to satisfy all the requirements. The DENG is fabricated by directly coating a composite layer on a recycled digital video disk surface. It achieves superb electricity generation from one droplet, with an output voltage of >190 V at an instantaneous power density of 65 W m−2, and an energy conversion efficiency of 3.60%. Diverse demonstrations confirm the applicability of the DENG in environmental networks, encompassing self-sustainable “on plants” sensing systems, smart building windows, and remote environmental monitoring platforms. In light of these superiorities, it is believed that the DENG may open up new alternative routes for future energy strategies.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Wang, Hai Lu
Zhang, Bojian
Chen, Tianyu
Mao, Weining
Wang, Yifan
format Article
author Wang, Hai Lu
Zhang, Bojian
Chen, Tianyu
Mao, Weining
Wang, Yifan
author_sort Wang, Hai Lu
title High-efficiency single-droplet energy harvester for self-sustainable environmental intelligent networks
title_short High-efficiency single-droplet energy harvester for self-sustainable environmental intelligent networks
title_full High-efficiency single-droplet energy harvester for self-sustainable environmental intelligent networks
title_fullStr High-efficiency single-droplet energy harvester for self-sustainable environmental intelligent networks
title_full_unstemmed High-efficiency single-droplet energy harvester for self-sustainable environmental intelligent networks
title_sort high-efficiency single-droplet energy harvester for self-sustainable environmental intelligent networks
publishDate 2024
url https://hdl.handle.net/10356/173347
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