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

• 批准号: 2024378
• 负责人: Trung Nguyen
• 金额: $ 10万
• 依托单位: University of Kansas Center for Research Inc
• 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
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2024378&HistoricalAwards=false
• 关键词: EAGER; Energy; Density; Storage; Renewable

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.

如果代表所有能源用途的三分之一的电力，可以完全降低化石燃料对能源的环境影响，这可以完全由可再生/可持续来源（例如风能和太阳能）产生。但是，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来源与基线能源（如煤炭或天然气体）一样可靠。氧化还原流量电池（RFB）存储系统可能非常适合此大规模的长期存储应用。为了使该技术在此应用中更具成本效益，必须降低其成本。这是这项拟议工作的重点。将探讨一种创新的技术方法，如果成功，将大大提高存储能力。从风和太阳能等可再生能源等可再生能源的发电将大大减少化石燃料排放对环境和世界气候的影响。拟议的高能密度存储技术将通过使高度可变和不可预测的可再生能源与煤炭，石油和天然气一样可靠，从而有助于从可再生能源产生100％发电的目标。该领域的领导将为美国带来许多经济机会。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的审查标准来评估值得支持的。