Energy Harvesting Triboelectric Nano-Generators for the Internet-of-Things
用于物联网的能量收集摩擦纳米发电机
基本信息
- 批准号:EP/S02106X/1
- 负责人:
- 金额:$ 80.61万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2019
- 资助国家:英国
- 起止时间:2019 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Next generation technologies, such as the IoT and 5G technology, are shaping to enhance the standard of life of people by creating a digitally connected world, in which the productivity, health, and communication will be vastly improved. This involves integrating sensors, intelligent circuits and miniature electronic devices into day to day objects around us, including the human body, clothing, buildings, vehicles and streets etc. Such systems become increasingly feasible due to the advancements in low-power electronics and IoT technologies, however, powering these electronics with the required complexity, flexibility, mobility and self-powered capabilities remains one of the key challenges in the modern era. Scavenging power from freely available ambient mechanical energy sources, such as human motion, wind, wave energy and machine vibrations, has been proven to be a viable approach to fulfil such energy and performance requirements.The triboelectric Nanogenerator (TENG) is one of the leading candidates to emerge as a potential energy source for powering autonomous IoT applications. These devices have shown the capability of capturing waste mechanical energy from ambient sources and easily producing a few Watts of output power, with high conversion efficiencies reported. However, knowledge of the electromagnetic behaviour of TENGs and the exact way they operate has been lacking in the past. Consequently, the relationship between the structural, material and motion parameters with the output power has not been adequately studied. This has resulted in non-optimised TENG architectures which suffer from relatively low, instantaneous and irregular output power, along with an impedance mismatch between the TENG and the output applications. Such issues decrease the output power of the TENG and significantly reduce its efficiency. This in turn associates with numerous other issues such as elevated cost, higher carbon footprint, larger device size and unreliable power supply.Recently, we introduced the distance-dependent electric field (DDEF) model, the first analytical theoretical model to fully describe the working principles of TENGs, using Maxwell's equations. This model has been proven to accurately predict the output behaviour of different TENG working modes and has been successfully applied to develop optimisation strategies for simple planar TENGs, significantly reducing most issues described above.In the proposed project, we will use the DDEF model to optimise material, device and motion parameters of TENGs to develop autonomous energy harvesters for IoT applications such as health sensors, wireless communication networks, portable and wearable electronics. We will first assess the energy requirements of IoT devices and design TENGs with suitable efficiencies to capture that energy from ambient sources. These devices are then finetuned to obtain the ideal size, shape, and material type, which will fit the applications while providing optimum electric field distribution, resulting in increased power outputs. We will use commonly available, low cost and flexible triboelectric polymers (eg: nylon, PET) as TENG layers, and further use scalable low-cost manufacturing techniques. Nanotechnology based surface improvements will be conducted to further improve the efficiency of these devices. The suggested improvements will increase the output power by about 100% compared to a non-optimised device, as evident from our simulation and calculation results. To ensure a non-interrupted regular power supply, we will integrate many TENG units with calculated phase differences, which would result in a near DC output current. Finally, we will combine the power management circuits and energy storage units (eg: supercapacitors and flexible batteries) along with the TENG to the IoT module, to assemble the fully integrated self-powered IoT devices.
下一代技术,例如物联网和5G技术,正在通过创建一个数字连接的世界来塑造人们的生活水平,在该世界中,生产力,健康和沟通将得到极大的提高。这涉及将传感器,智能电路和微型电子设备整合到我们周围的日常物品中,包括人体,服装,建筑物,车辆和街道等。由于低位电子和IOT技术的进步,这些系统变得越来越可行,但是,将这些电子设备供应了这些ERONICS与这些ERANICS的启发,使其具有启发性,在弹性,攻击性的攻击性,挑战性的攻击性。可自由获得的环境机械能源(例如人类运动,风能,波动能量和机器振动)的清除功率已被证明是满足这种能量和性能要求的可行方法。Triboeleclectric nananogenerator(Teng)是拟定自动源IOT应用程序的潜在能源的主要候选者之一。这些设备已经显示出从环境来源捕获废物机械能的能力,并易于产生一些瓦特的输出功率,并报告了高转换效率。然而,过去缺乏滕斯电磁行为及其操作的确切方式的知识。因此,尚未对结构,材料和运动参数与输出功率之间的关系进行充分研究。这导致了不优化的Teng架构,这些体系结构遭受了相对较低,瞬时和不规则的输出功率,以及TENG和输出应用之间的阻抗不匹配。此类问题降低了Teng的产出能力,并显着降低了其效率。这反过来又与许多其他问题相关联,例如成本提高,较高的碳足迹,更大的设备尺寸和不可靠的电源。实际上,我们介绍了使用Maxwell方程的第一个完全描述TENG的工作原理的距离依赖电场(DDEF)模型,这是第一个完全描述Teng的工作原理的分析理论模型。该模型已被证明可以准确预测不同TENG工作模式的输出行为,并已成功应用于为简单的平面Tengs制定优化策略,大大降低了上述大多数问题。在拟议的项目中,我们将使用DDEF模型来优化Tengs的材料,设备和运动参数,以开发无自动收割机,以开发无自动企业,例如无用的型号,例如Neelth Networds,无需使用Nevelson Nevellons Nevellons Nevellons,无需使用Nevellons Nevellons,无需使用Noteal Networds,无需使用。我们将首先评估以合适的效率来评估物联网设备和设计tengs的能源需求,以从环境来源捕获能量。然后,对这些设备进行填充以获得理想的尺寸,形状和材料类型,这些设备将适合应用程序,同时提供最佳的电场分布,从而增加功率输出。我们将使用常见的低成本和柔性互动聚合物(例如:尼龙,宠物)作为teng层,并进一步使用可扩展的低成本制造技术。将进行基于纳米技术的表面改进,以进一步提高这些设备的效率。与非优化设备相比,建议的改进将使输出功率提高约100%,这可以从我们的模拟和计算结果中可以明显看出。为了确保不间断的常规电源,我们将将许多TENG单元与计算的相位差异集成在一起,这将导致接近DC输出电流。最后,我们将将电源管理电路和能源存储单元(例如:超级电容器和灵活的电池)与Teng与IoT模块结合在一起,以组装完全集成的自动IoT设备。
项目成果
期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Natural silk-composite enabled versatile robust triboelectric nanogenerators for smart applications
- DOI:10.1016/j.nanoen.2021.105819
- 发表时间:2021-02-06
- 期刊:
- 影响因子:17.6
- 作者:Dudem, Bhaskar;Graham, Sontyana Adonijah;Yu, Jae Su
- 通讯作者:Yu, Jae Su
Flexible, biocompatible, and ridged silicone elastomers based robust sandwich-type triboelectric nanogenerator
基于柔性、生物相容性和脊状有机硅弹性体的坚固夹层型摩擦纳米发电机
- DOI:10.1109/ifetc49530.2021.9580514
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Riaz R
- 通讯作者:Riaz R
Exploring the theoretical and experimental optimization of high-performance triboelectric nanogenerators using microarchitectured silk cocoon films
- DOI:10.1016/j.nanoen.2020.104882
- 发表时间:2020-08-01
- 期刊:
- 影响因子:17.6
- 作者:Dudem, Bhaskar;Dharmasena, R. D. Ishara G.;Yu, Jae Su
- 通讯作者:Yu, Jae Su
Direct current contact-mode triboelectric nanogenerators via systematic phase shifting
- DOI:10.1016/j.nanoen.2020.104887
- 发表时间:2020-09-01
- 期刊:
- 影响因子:17.6
- 作者:Dharmasena, R. D. I. G.;Cronin, H. M.;Silva, S. R. P.
- 通讯作者:Silva, S. R. P.
Contact-electrification enabled water-resistant triboelectric nanogenerators as demonstrator educational appliances
- DOI:10.1088/2515-7655/ad0739
- 发表时间:2023-10
- 期刊:
- 影响因子:0
- 作者:V. Vivekananthan;A. Chandrasekhar;Bhaskar Dudem;G. Khandelwal;Ravi P Silva;Sang‐Jae Kim
- 通讯作者:V. Vivekananthan;A. Chandrasekhar;Bhaskar Dudem;G. Khandelwal;Ravi P Silva;Sang‐Jae Kim
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S Silva其他文献
How to Display Data by Color Schemes Compatible with Red-green Color Perception Deficiencies References and Links
如何通过与红绿色感知缺陷兼容的配色方案显示数据参考和链接
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Matthias Geissbuehler;T. Lasser;B. L. D. E. Bergman;L. A. Rogowitz;Treinish;S Silva;J. Madeira;B. Santos;B. Santos;H Brettel;F. Viénot;J. Mollon;B Dougherty;A. Wade;Vischeck;C Berclaz;J. Goulley;M. Villiger;C. Pache;A. Bouwens;E. Martin;D. Van De Ville;A. C. Davison;A. Grapin;T. Lasser;W Becker;A. Bergmann;M. Hink;K. K. Nig;K. Benndorf;C. Biskup;Leitgeb;A. Bachmann;L. Steinmann;Z Kadlecova;Y. Rajendra;M. Matasci;D. Hacker;L. Baldi;F. Wurm;H. Klok;Hyperbranched;M Geissbuehler;Z. Kadlecová;C Pache;N. Bocchio;C. Berclaz;M. Gibson;C. Santschi - 通讯作者:
C. Santschi
S Silva的其他文献
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脉冲激光合成功能纳米材料
- 批准号:
EP/F052901/1 - 财政年份:2008
- 资助金额:
$ 80.61万 - 项目类别:
Research Grant
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