声波能量收集:收割机的创新、效率提高技术和未来应用

IF 4.1 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Pengfei Fan , Yuli Zhang , Xinheng Wang , Ruiyuan Jiang , Dongyao Jia , Shangbo Wang , Xinzhe Wang , Hanwen Tai
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引用次数: 0

摘要

声学能量收集是一种可持续的方法,可以从机场和道路等嘈杂环境中捕获声能。虽然很有前途,但目前的系统产生的功率有限,通过先进的材料和设计来提高声-电转换效率是一个关键目标。为了满足小型设备功率、噪音管理和环境监测等需求,收割机越来越多地与下一代传感器集成,为传感器节点和分布式监测提供低功耗、可再生能源。在这些设置中,收集的能量可以驱动小型化电子设备,包括用于数据收集、环境监测和物联网应用的自供电传感器。此外,如果需要降噪,收割机可以与降噪技术配对,在回收能量的同时减少不必要的声音,从而扩大传感器的使用范围。一种潜在的途径是使用超材料和优化的换能器架构来捕获更大范围的声波频率,从而在城市中心等声学丰富的环境中实现更好的性能。同时,先进的信号处理可以帮助收割机适应波动声源,提高功率输出。本文总结了在提高声电效率方面的重要研究成果,重点是压电材料、谐振结构和声电机制。考虑到传感器的需求和技术障碍,它探讨了设计限制和新兴机会,突出了分布式能源网络、智慧城市倡议和生态保护方面的潜在应用,为未来的研究提供了见解,以推进该领域的发展。这项研究促进了声能量收集在传感器基础设施中的更深层次的整合。声波能量收集和传感技术之间的有效协同可以促进可持续能源解决方案和多场景传感器网络的更广泛部署。研究人员可以在设计和新材料之间进行权衡,为平衡效率和可持续性的实际解决方案铺平道路。随着发展的继续,涉及材料科学、声学、电子和系统工程的跨学科努力将是充分实现声能量收集在现实世界中使用潜力的必要条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Acoustic energy harvesting: Innovations in harvesters, efficiency enhancement techniques, and future applications
Acoustic energy harvesting is a sustainable approach to capturing sound energy from noisy environments like airports and roads. Although promising, current systems produce limited power, making improved acoustic-to-electric conversion efficiency through advanced materials and designs a key objective. To address needs such as small device power, noise management, and environmental monitoring, harvesters increasingly integrate with next-generation sensors, providing low-power, renewable energy for sensor nodes and distributed monitoring. In these setups, harvested energy can drive miniaturised electronics, including self-powered sensors for data collection, environmental monitoring, and IoT applications. Furthermore, if noise reduction is required, the harvesters can pair with noise abatement technology, reducing unwanted sound while recovering energy, thus broadening sensor use. One potential route involves employing meta-materials and optimised transducer architectures to capture a broader range of acoustic frequencies, enabling better performance in acoustically rich environments such as urban centres. Meanwhile, advanced signal processing can help harvesters adapt to fluctuating sound sources and enhance power output. This paper consolidates notable research on boosting acoustic-to-electric efficiency, focusing on piezoelectric materials, resonant structures, and acoustic-electrical mechanisms. Given both sensor demands and technological hurdles, it explores design constraints and emerging opportunities, highlighting potential applications in distributed energy networks, smart city initiatives, and ecological protection, offering insights for future research to advance the field. This study fosters deeper integration of acoustic energy harvesting within sensor infrastructures. Effective synergy between acoustic energy harvesting and sensing technology may promote broader deployment of sustainable energy solutions and multi-scenario sensor networks. Researchers can navigate design trade-offs and new materials, paving the way for practical solutions that balance efficiency and sustainability. As development continues, interdisciplinary efforts involving materials science, acoustics, electronics, and systems engineering will be essential to fully realize acoustic energy harvesting’s potential in real-world usage.
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来源期刊
Sensors and Actuators A-physical
Sensors and Actuators A-physical 工程技术-工程:电子与电气
CiteScore
8.10
自引率
6.50%
发文量
630
审稿时长
49 days
期刊介绍: Sensors and Actuators A: Physical brings together multidisciplinary interests in one journal entirely devoted to disseminating information on all aspects of research and development of solid-state devices for transducing physical signals. Sensors and Actuators A: Physical regularly publishes original papers, letters to the Editors and from time to time invited review articles within the following device areas: • Fundamentals and Physics, such as: classification of effects, physical effects, measurement theory, modelling of sensors, measurement standards, measurement errors, units and constants, time and frequency measurement. Modeling papers should bring new modeling techniques to the field and be supported by experimental results. • Materials and their Processing, such as: piezoelectric materials, polymers, metal oxides, III-V and II-VI semiconductors, thick and thin films, optical glass fibres, amorphous, polycrystalline and monocrystalline silicon. • Optoelectronic sensors, such as: photovoltaic diodes, photoconductors, photodiodes, phototransistors, positron-sensitive photodetectors, optoisolators, photodiode arrays, charge-coupled devices, light-emitting diodes, injection lasers and liquid-crystal displays. • Mechanical sensors, such as: metallic, thin-film and semiconductor strain gauges, diffused silicon pressure sensors, silicon accelerometers, solid-state displacement transducers, piezo junction devices, piezoelectric field-effect transducers (PiFETs), tunnel-diode strain sensors, surface acoustic wave devices, silicon micromechanical switches, solid-state flow meters and electronic flow controllers. Etc...
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