EAGER: High-Energy-Density Storage for Renewable Energy Sources for Environmental Sustainability

EAGER:可再生能源的高能量密度存储,促进环境可持续发展

基本信息

  • 批准号:
    2024378
  • 负责人:
  • 金额:
    $ 10万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-04-01 至 2022-03-31
  • 项目状态:
    已结题

项目摘要

The environmental impact of the use of fossil fuels for energy can be greatly reduced if electricity, which represents one third of all energy uses, can be generated totally from renewable/sustainable sources such as wind and solar. However, this requires cost-effective long-duration (3-5 days) energy storage technologies, which would allow the highly variable and unpredictable wind and solar energy sources to become as reliable as baseline energy sources like coal or natural gases. Redox flow battery (RFB) energy storage systems are potentially highly suitable for this large-scale, long-duration storage application. To make this technology more cost-effective for this application, its cost must be reduced. This is the focus of this proposed work. An innovative technical approach will be explored that, if successful, would increase storage capacity significantly. Electricity generation totally from renewable energy sources like wind and solar would greatly reduce the effect of fossil fuel emission on the environment and world climate. The proposed high energy density storage technology would facilitate reaching the goal of 100% electricity generation from renewable sources by making highly variable and unpredictable renewable energy sources as reliable as coal, oil, and natural gases. Leadership in this area will generate many economic opportunities for the US.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.
如果占所有能源使用的三分之一的电力能够完全由风能和太阳能等可再生/可持续能源产生,那么使用化石燃料作为能源对环境的影响可以大大减少。然而,这需要具有成本效益的长期(3-5天)储能技术,这将使高度可变和不可预测的风能和太阳能能源变得与煤炭或天然气等基准能源一样可靠。氧化还原液流电池(RFB)储能系统非常适合这种大规模、长时间的储能应用。为了使这项技术对这一应用更具成本效益,必须降低其成本。这是这项拟议工作的重点。将探索一种创新的技术方法,如果成功,将显著增加存储容量。完全由风能和太阳能等可再生能源发电将大大减少化石燃料排放对环境和世界气候的影响。拟议的高能量密度存储技术将使高度可变和不可预测的可再生能源像煤炭、石油和天然气一样可靠,从而促进实现100%由可再生能源发电的目标。这一领域的领先地位将为我们创造许多经济机会。这一奖项反映了NSF的法定使命,并通过使用基金会的智力优势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)
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会议论文数量(0)
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Trung Nguyen其他文献

Computationally-efficient visual inertial odometry for autonomous vehicle
适用于自动驾驶车辆的计算高效的视觉惯性里程计
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Trung Nguyen
  • 通讯作者:
    Trung Nguyen
Specialist laboratory networks as preparedness and response tool - the Emerging Viral Diseases-Expert Laboratory Network and the Chikungunya outbreak, Thailand, 2019
作为准备和应对工具的专业实验室网络 - 新兴病毒性疾病专家实验室网络和基孔肯雅热疫情,泰国,2019 年
  • DOI:
    10.2807/1560-7917.es.2020.25.13.1900438
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    19
  • 作者:
    G. Venturi;S. Aberle;T. Avšič;L. Barzon;C. Batéjat;E. Burdino;F. Carletti;R. Charrel;I. Christova;J. Connell;V. Corman;M. Emmanouil;A. Jääskeläinen;I. Kurolt;Y. Lustig;M. Martínez;M. Koopmans;O. Nagy;Trung Nguyen;A. Papa;M. Pérez;M. Pfeffer;Jelena Protic;J. Reimerink;G. Rossini;M. P. Sánchez‐Seco Fariñas;J. Schmidt;Sandra Söderholm;B. Súdre;M. van Esbroeck;C. Reusken
  • 通讯作者:
    C. Reusken
Corruption and Innovation in Manufacturing Firms: A Cross-country Analysis
制造企业的腐败与创新:跨国分析
  • DOI:
    10.2139/ssrn.3851478
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Trung Nguyen
  • 通讯作者:
    Trung Nguyen
Diagnostic classification in toxicologic pathology using attention-guided weak supervision and whole slide image features: a pilot study in rat livers
  • DOI:
    10.1038/s41598-025-86615-6
  • 发表时间:
    2025-02-04
  • 期刊:
  • 影响因子:
    3.900
  • 作者:
    Philip Zehnder;Jeffrey Feng;Trung Nguyen;Philip Shen;Ruth Sullivan;Reina N. Fuji;Fangyao Hu
  • 通讯作者:
    Fangyao Hu
Asset redeployability and the market reaction to cyberattacks
资产可重新部署性与市场对网络攻击的反应
  • DOI:
    10.1016/j.frl.2024.106278
  • 发表时间:
    2024-12-01
  • 期刊:
  • 影响因子:
    6.900
  • 作者:
    Oneil Harris;Trung Nguyen
  • 通讯作者:
    Trung Nguyen

Trung Nguyen的其他文献

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{{ truncateString('Trung Nguyen', 18)}}的其他基金

Engineering the Ionic Polymer Phase-Fluid Interface of the PEM Fuel Cell Catalyst Layer for Higher Performance
对 PEM 燃料电池催化剂层的离子聚合物相-流体界面进行工程设计,以获得更高的性能
  • 批准号:
    1803058
  • 财政年份:
    2018
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
EAGER: Engineering the Ionic Polymer Phase Surface Properties in a PEM Fuel Cell Catalyst Layer
EAGER:设计 PEM 燃料电池催化剂层中的离子聚合物相表面特性
  • 批准号:
    1518755
  • 财政年份:
    2015
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
MRI: Acquisition of an Advanced X-Ray Photoelectron Spectroscopy for Materials Research
MRI:获取先进的 X 射线光电子能谱用于材料研究
  • 批准号:
    1429727
  • 财政年份:
    2014
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
Conference on Massive Energy Storage for the Broader Use of Renewable Energy Sources, June 23-26, 2013, Newport Beach, CA
大规模储能促进可再生能源更广泛应用会议,2013 年 6 月 23-26 日,加利福尼亚州纽波特比奇
  • 批准号:
    1335803
  • 财政年份:
    2013
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
US-Taiwan Workshops on Materials and Systems Challenges in Electrical Energy Storage
美国-台湾关于电能存储材料和系统挑战的研讨会
  • 批准号:
    1126511
  • 财政年份:
    2011
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
EAGER: Electrical Grid Leveling by Distributed Energy Storage
EAGER:通过分布式储能实现电网均衡
  • 批准号:
    1135368
  • 财政年份:
    2011
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
EFRI-RESTOR: Regenerative Hydrogen-Bromine Fuel Cell System for Energy Storage
EFRI-RESTOR:用于储能的再生氢溴燃料电池系统
  • 批准号:
    1038234
  • 财政年份:
    2010
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
Water Management in PEM Fuel Cells by Material Engineering
材料工程在质子交换膜燃料电池中的水管理
  • 批准号:
    0651758
  • 财政年份:
    2007
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
SGER: Optimized Catalyst Layer Structure for PEM Fuel Cells
SGER:用于质子交换膜燃料电池的优化催化剂层结构
  • 批准号:
    0341271
  • 财政年份:
    2003
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
Spatial and Temporal Behavior in Proton Exchange Membrane Fuel Cells
质子交换膜燃料电池的时空行为
  • 批准号:
    9910923
  • 财政年份:
    2000
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant

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