I-Corps: Multi-Dimensional Electromagnetic Energy Convertor

I-Corps:多维电磁能量转换器

基本信息

项目摘要

The broader impact/commercial potential of this I-Corps project is the development of a three-dimensional electromagnetic energy convertor (EMEC) to address the unmet need of many applications for high power output per occupied area. EMEC reaches significantly higher power output than existing commercial solar panels making the EMEC modules particularly suitable for transportation applications. The reliance of the transportation industry on fossil fuels contributes to ~15% of greenhouse gas emissions worldwide. Electric vehicles (EV) are emission-free, but usually rely on energy generated by fossil fuels for charging. EV’s limited power storage capability and, therefore, limited operational range, remains one of the main challenges to adoption. Solar charging of EVs can increase the vehicles’ operational range while reducing reliance on fossil fuels. Unfortunately, commercial solar panels do not meet the transportation industry requirements because of their low power density and prohibitively large form factor, but EMEC is likely suitable for this application. EMEC has the potential to empower a more sustainable emissions-free transportation industry. The I-Corps project will allow us to test these hypotheses.This I-Corps project is based on the development of a three-dimensional electromagnetic energy convertor (EMEC) ideal for applications that require high power output such as mobile transportation systems and off-grid power generation. According to the National Renewable Energy Laboratory (NREL), the overall cost of commercial solar panels has declined steadily over the past decade thanks to manufacturing automation and broad adoption. Since the power output of commercial solar panels is directly proportional to their effective light collection area, current commercial solar panels consist of large thin sheets of photovoltaic cells. This solution has been accepted widely, particularly for installation in solar farms and single home rooftops. However, these bulky solar panels have failed generally to deliver enough energy for applications where space is limited, such as in urban environments and transportation vehicles. Flexible solar panels are better for mobile applications, but they also require large areas for energy collection. The proposed technology uses a three-dimensional system whose power density is significantly larger than that of existing commercial solar panels. The compact and modular architecture of this system has the potential to increase the power output and decrease the upfront costs associated with solar panel installations.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.
这个I-Corps项目的更广泛的影响/商业潜力是开发三维电磁能量转换器(EMEC),以满足许多应用对每个占用区域的高功率输出的未满足需求。EMEC的功率输出比现有的商用太阳能电池板显着更高,使得EMEC模块特别适合交通应用。 交通运输业对化石燃料的依赖占全球温室气体排放量的约15%。电动汽车(EV)是零排放的,但通常依赖化石燃料产生的能量进行充电。电动汽车有限的电力存储能力以及有限的运行范围仍然是采用的主要挑战之一。电动汽车的太阳能充电可以增加车辆的运行范围,同时减少对化石燃料的依赖。不幸的是,商业太阳能电池板由于其低功率密度和过大的形状因数而不符合运输行业的要求,但EMEC可能适合这种应用。EMEC有潜力为更可持续的零排放运输行业提供支持。I-Corps项目将使我们能够验证这些假设。该I-Corps项目基于三维电磁能量转换器(EMEC)的开发,该EMEC非常适合需要高功率输出的应用,例如移动的运输系统和离网发电。根据国家可再生能源实验室(NREL)的数据,由于制造自动化和广泛采用,商业太阳能电池板的整体成本在过去十年中稳步下降。由于商业太阳能电池板的功率输出与其有效集光面积成正比,因此目前的商业太阳能电池板由大型光伏电池薄片组成。这种解决方案已被广泛接受,特别是安装在太阳能发电场和单一家庭屋顶。然而,这些笨重的太阳能电池板通常无法为空间有限的应用提供足够的能量,例如在城市环境和运输车辆中。柔性太阳能电池板更适合移动的应用,但它们也需要大面积的能量收集。该技术使用三维系统,其功率密度明显大于现有的商业太阳能电池板。该系统的紧凑和模块化架构有可能增加功率输出,并降低与太阳能电池板安装相关的前期成本。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 }}

Mojtaba Akhavan-Tafti其他文献

Mojtaba Akhavan-Tafti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

基于Multi-Pass Cell的高功率皮秒激光脉冲非线性压缩关键技术研究
  • 批准号:
  • 批准年份:
    2022
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
Multi-decadeurbansubsidencemonitoringwithmulti-temporaryPStechnique
  • 批准号:
  • 批准年份:
    2022
  • 资助金额:
    80 万元
  • 项目类别:
High-precision force-reflected bilateral teleoperation of multi-DOF hydraulic robotic manipulators
  • 批准号:
    52111530069
  • 批准年份:
    2021
  • 资助金额:
    10 万元
  • 项目类别:
    国际(地区)合作与交流项目
基于8色荧光标记的Multi-InDel复合检测体系在降解混合检材鉴定的应用研究
  • 批准号:
  • 批准年份:
    2021
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
大规模非确定图数据分析及其Multi-Accelerator并行系统架构研究
  • 批准号:
    62002350
  • 批准年份:
    2020
  • 资助金额:
    24.0 万元
  • 项目类别:
    青年科学基金项目
3D multi-parameters CEST联合DKI对椎间盘退变机制中微环境微结构改变的定量研究
  • 批准号:
    82001782
  • 批准年份:
    2020
  • 资助金额:
    24.0 万元
  • 项目类别:
    青年科学基金项目
高速Multi-bit/cycle SAR ADC性能优化理论研究
  • 批准号:
    62004023
  • 批准年份:
    2020
  • 资助金额:
    24.0 万元
  • 项目类别:
    青年科学基金项目
基于multi-SNP标记及不拆分策略的复杂混合样本身份溯源研究
  • 批准号:
  • 批准年份:
    2020
  • 资助金额:
    56 万元
  • 项目类别:
    面上项目
大地电磁强噪音压制的Multi-RRMC技术及其在青藏高原东南缘—印支块体地壳流追踪中的应用
  • 批准号:
  • 批准年份:
    2020
  • 资助金额:
    万元
  • 项目类别:
    国际(地区)合作与交流项目

相似海外基金

Multi-dimensional quantum-enabled sub-THz Space-Borne ISAR sensing for space domain awareness and critical infrastructure monitoring - SBISAR
用于空间域感知和关键基础设施监测的多维量子亚太赫兹星载 ISAR 传感 - SBISAR
  • 批准号:
    EP/Y022092/1
  • 财政年份:
    2024
  • 资助金额:
    $ 5万
  • 项目类别:
    Research Grant
Automated multi-dimensional mapping of dynamic laser-liquid interactions
动态激光-液体相互作用的自动多维映射
  • 批准号:
    EP/Y001737/1
  • 财政年份:
    2024
  • 资助金额:
    $ 5万
  • 项目类别:
    Research Grant
CAREER: Multi-Dimensional Photonic Accelerators for Scalable and Efficient Computing
职业:用于可扩展和高效计算的多维光子加速器
  • 批准号:
    2337674
  • 财政年份:
    2024
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
AF: Small: Equilibrium Computation and Multi-Agent Learning in High-Dimensional Games
AF:小:高维游戏中的平衡计算和多智能体学习
  • 批准号:
    2342642
  • 财政年份:
    2024
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
A multi-dimensional evaluation of therapeutic intervention-induced functional recovery for unilateral spatial neglect model animal
单侧空间忽视模型动物治疗干预诱导功能恢复的多维评价
  • 批准号:
    23K10445
  • 财政年份:
    2023
  • 资助金额:
    $ 5万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Unified Robust Control System Design for Regional Multi-Energy Systems Based on Multi-Dimensional Systems and Dissipativity
基于多维系统和耗散性的区域多能源系统统一鲁棒控制系统设计
  • 批准号:
    23K03910
  • 财政年份:
    2023
  • 资助金额:
    $ 5万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
III: Small: Computational Methods for Multi-dimensional Data Integration to Improve Phenotype Prediction
III:小:多维数据集成的计算方法以改进表型预测
  • 批准号:
    2246796
  • 财政年份:
    2023
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
CAREER: Enabling the Accurate Simulation of Multi-Dimensional Core-Level Spectroscopies in Molecular Complexes using Time-Dependent Density Functional Theory
职业:使用瞬态密度泛函理论实现分子复合物中多维核心级光谱的精确模拟
  • 批准号:
    2337902
  • 财政年份:
    2023
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Collaborative Research: New Theory and Methods for High-Dimensional Multi-Task and Transfer Learning Inference
合作研究:高维多任务和迁移学习推理的新理论和新方法
  • 批准号:
    2324490
  • 财政年份:
    2023
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
Collaborative Research: New Theory and Methods for High-Dimensional Multi-Task and Transfer Learning Inference
合作研究:高维多任务和迁移学习推理的新理论和新方法
  • 批准号:
    2324489
  • 财政年份:
    2023
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了