SBIR Phase I: Advanced Micro Vibration Energy Harvesters for Energy-Autonomous Internet of Things

SBIR 第一阶段:用于能源自主物联网的先进微振动能量收集器

基本信息

  • 批准号:
    1913991
  • 负责人:
  • 金额:
    $ 22.49万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-07-01 至 2021-09-30
  • 项目状态:
    已结题

项目摘要

The broader impact/commercial potential of this project is to address the power problem, which significantly limits the deployment and functionality of next generation wireless sensors and internet-of-things (IoT) nodes and inhibits their impact on energy and efficiency savings in the most needed areas of smart manufacturing, smart transportation, and building automation. Most high-impact IoT applications typically require miniaturization and placement of wireless sensor nodes in hard-to-service locations in vast numbers, where the battery replacement or electrical wiring is not practical or too costly. This research and development effort will explore the fundamental and technological limits of vibration energy harvesters, and development of novel micro vibration energy harvesters with high power density, multi-axis operation capability, and wider frequency bandwidth. These low-cost micro vibration energy harvesters aim to enable energy-autonomous wireless sensor nodes that will open up new markets and high-impact applications for self-powered IoT nodes, achieve energy savings and increased efficiency in multiple industries due to enabled continuous data gathering, reduce the ecological footprint of millions of wasted toxic batteries, and significantly decrease the maintenance cost of industrial IoT networks. This Small Business Innovation Research (SBIR) Phase I project aims to develop a millimeter-scale vibration energy harvester that can provide high power density, multi-axis operation capability and sufficiently wide operation bandwidth, as a maintenance-free and low-cost renewable power source for next-generation industrial IoT nodes. Existing vibration energy harvesters have limited practical applications in real life, as they suffer from large size, high-cost, low power density, high operation frequency, and extremely narrow frequency bandwidths. Moreover, commercial harvesters can only operate at a single vibrational axis and cannot harvest efficiently from complex three-dimensional vibration profiles found in real-life applications. This SBIR Phase I project will focus on novel device architectures to achieve a high-power density in a highly compact device volume and to harvest energy efficiently from low-amplitude vibrations along any spatial directions. In addition, new device architectures will be investigated to obtain further improved performance and additional functionalities. Analytical simulations and finite element analysis will be performed to optimize device performance. Prototypes will be fabricated via a proprietary advanced micro manufacturing method to obtain high-quality piezoelectric thin films on silicon wafers. Fabricated harvester prototypes will be tested at conditions simulating target industrial applications.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该项目更广泛的影响/商业潜力是解决电力问题,这极大地限制了下一代无线传感器和物联网(IoT)节点的部署和功能,并抑制了它们对智能制造,智能交通和楼宇自动化等最需要的领域的能源和效率节约的影响。大多数高影响力的物联网应用通常需要小型化,并将无线传感器节点大量放置在难以服务的位置,在这些位置,电池更换或电气布线不实用或成本太高。这项研究和开发工作将探索振动能量采集器的基本和技术限制,并开发具有高功率密度,多轴操作能力和更宽频带的新型微型振动能量采集器。这些低成本的微振动能量采集器旨在实现能源自主无线传感器节点,为自供电物联网节点开辟新市场和高影响力应用,由于能够持续收集数据,在多个行业实现节能和提高效率,减少数百万废弃有毒电池的生态足迹,并显着降低工业物联网网络的维护成本。该小型企业创新研究(SBIR)第一阶段项目旨在开发一种毫米级振动能量采集器,可提供高功率密度,多轴操作能力和足够宽的操作带宽,作为下一代工业物联网节点的免维护和低成本可再生电源。现有的振动能量采集器在真实的生活中具有有限的实际应用,因为它们具有大尺寸、高成本、低功率密度、高操作频率和极窄的频率带宽。此外,商业收割机只能在单个振动轴上操作,并且不能从现实应用中发现的复杂三维振动轮廓中有效地收割。该SBIR第一阶段项目将专注于新型器件架构,以在高度紧凑的器件体积中实现高功率密度,并从沿着任何空间方向的低振幅振动中有效地获取能量。此外,还将研究新的设备架构,以进一步提高性能和增加功能。将进行分析模拟和有限元分析,以优化器械性能。原型将通过专有的先进微制造方法制造,以在硅片上获得高质量的压电薄膜。装配的收割机原型将在模拟目标工业应用的条件下进行测试。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Ethem Aktakka其他文献

Ethem Aktakka的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

相似国自然基金

Baryogenesis, Dark Matter and Nanohertz Gravitational Waves from a Dark Supercooled Phase Transition
  • 批准号:
    24ZR1429700
  • 批准年份:
    2024
  • 资助金额:
    0.0 万元
  • 项目类别:
    省市级项目
ATLAS实验探测器Phase 2升级
  • 批准号:
    11961141014
  • 批准年份:
    2019
  • 资助金额:
    3350 万元
  • 项目类别:
    国际(地区)合作与交流项目
地幔含水相Phase E的温度压力稳定区域与晶体结构研究
  • 批准号:
    41802035
  • 批准年份:
    2018
  • 资助金额:
    12.0 万元
  • 项目类别:
    青年科学基金项目
基于数字增强干涉的Phase-OTDR高灵敏度定量测量技术研究
  • 批准号:
    61675216
  • 批准年份:
    2016
  • 资助金额:
    60.0 万元
  • 项目类别:
    面上项目
基于Phase-type分布的多状态系统可靠性模型研究
  • 批准号:
    71501183
  • 批准年份:
    2015
  • 资助金额:
    17.4 万元
  • 项目类别:
    青年科学基金项目
纳米(I-Phase+α-Mg)准共晶的临界半固态形成条件及生长机制
  • 批准号:
    51201142
  • 批准年份:
    2012
  • 资助金额:
    25.0 万元
  • 项目类别:
    青年科学基金项目
连续Phase-Type分布数据拟合方法及其应用研究
  • 批准号:
    11101428
  • 批准年份:
    2011
  • 资助金额:
    23.0 万元
  • 项目类别:
    青年科学基金项目
D-Phase准晶体的电子行为各向异性的研究
  • 批准号:
    19374069
  • 批准年份:
    1993
  • 资助金额:
    6.4 万元
  • 项目类别:
    面上项目

相似海外基金

SBIR Phase II: Innovative Glass Inspection for Advanced Semiconductor Packaging
SBIR 第二阶段:先进半导体封装的创新玻璃检测
  • 批准号:
    2335175
  • 财政年份:
    2024
  • 资助金额:
    $ 22.49万
  • 项目类别:
    Cooperative Agreement
SBIR Phase I: CAS: Advanced Thermal Oxidizer to Cost-effectively Control Greenhouse Emissions from Small Sources
SBIR 第一阶段:CAS:先进的热氧化器,可经济高效地控制小源温室气体排放
  • 批准号:
    2326861
  • 财政年份:
    2024
  • 资助金额:
    $ 22.49万
  • 项目类别:
    Standard Grant
SBIR Phase II: Advanced Ransomware Countermeasure
SBIR 第二阶段:高级勒索软件对策
  • 批准号:
    2304216
  • 财政年份:
    2024
  • 资助金额:
    $ 22.49万
  • 项目类别:
    Cooperative Agreement
SBIR Phase I: Advanced Manufacturing of Oxide Dispersion-Strengthened Superalloys for High Temperature Creep and Hydrogen Environment Applications
SBIR 第一阶段:用于高温蠕变和氢环境应用的氧化物弥散强化高温合金的先进制造
  • 批准号:
    2335531
  • 财政年份:
    2024
  • 资助金额:
    $ 22.49万
  • 项目类别:
    Standard Grant
SBIR Phase I: Enzyme Stabilization via Immobilization for Advanced Chemical Manufacturing
SBIR 第一阶段:通过固定化实现酶稳定,用于先进化学制造
  • 批准号:
    2320044
  • 财政年份:
    2023
  • 资助金额:
    $ 22.49万
  • 项目类别:
    Standard Grant
SBIR Phase II: Advanced Computer Vision Methods for Diagnostic Medical Entomology
SBIR 第二阶段:用于诊断医学昆虫学的先进计算机视觉方法
  • 批准号:
    2322335
  • 财政年份:
    2023
  • 资助金额:
    $ 22.49万
  • 项目类别:
    Cooperative Agreement
SBIR Phase I: Liquid-Enabled Advanced Pitch (LEAP) Semiconductor Manufacturing
SBIR 第一阶段:液体先进间距 (LEAP) 半导体制造
  • 批准号:
    2304119
  • 财政年份:
    2023
  • 资助金额:
    $ 22.49万
  • 项目类别:
    Standard Grant
SBIR Phase I: Advanced multi-locus genome engineering to enable consolidated bioprocessing for the low-cost conversion of lignocellulose to hydrocarbon fuels and products
SBIR 第一阶段:先进的多位点基因组工程,实现整合生物加工,将木质纤维素低成本转化为碳氢化合物燃料和产品
  • 批准号:
    2112323
  • 财政年份:
    2023
  • 资助金额:
    $ 22.49万
  • 项目类别:
    Standard Grant
SBIR Phase II: Accelerating R&D through Streamlined Machine Learning Algorithms for Small Data Applications in Advanced Manufacturing
SBIR 第二阶段:加速 R
  • 批准号:
    2325045
  • 财政年份:
    2023
  • 资助金额:
    $ 22.49万
  • 项目类别:
    Cooperative Agreement
SBIR Phase I: Secure Image Recognition and Machine Learning Using Advanced Cryptography
SBIR 第一阶段:使用高级加密技术进行安全图像识别和机器学习
  • 批准号:
    2304348
  • 财政年份:
    2023
  • 资助金额:
    $ 22.49万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了