CAREER: Identifying a New Source of Lithium for Sustainable and Renewable Energy Storage
职业:寻找可持续和可再生能源存储的新锂来源
基本信息
- 批准号:2042504
- 负责人:
- 金额:$ 50.87万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-06-01 至 2026-05-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
While water produced from organic–rich (e.g. petroleum and natural gas) source rocks has been considered wastewater, it has been recently revealed as a potential source of substantial amounts of lithium (Li). This opens new pathways to address the entire petroleum system and Li geochemical cycle. This project will develop a transformative characterization framework for Li in source rock brines, thus laying the foundation for converting source rock brines into a sustainable source of Li. Thus, the goal of this project is to identify a new source of Li–rich brines in organic–rich source rocks for sustainable energy storage. This outcome will help address the urgent need to enhance and diversify the domestic supply of Li, given the recently found potential of organic–rich source rocks as a source of Li.To attain the goal, the research objectives are to (1) experimentally determine the reaction mechanisms of Li originating from kerogen (solid organic matter of source rocks creating oil and gas) in natural geologic systems, (2) enhance modeling capability for characterizing the transport of Li as a function of mineral compositions and structures through pore–scale modeling, and (3) promote the identification and utilization of Li–rich brines by integrating this information into basin–scale modeling. This research program is integrated with the educational goal of enlightening students in subsurface processes related to sustainable resources for energy storage. Students will be engaged in the research program by conducting basin–scale modeling and compositional characterization of source rock brines to find optimal locations for Li recovery. The PI plans to disseminate the findings of these integrated research and educational efforts to industrial collaborators through the development of short courses, panel discussions, and e–newsletters. Additionally, the educational program will build upon the PI’s existing mentoring program for high school students on the topic of sustainable subsurface energy systems with computer programming applications and leverage a Program for Mastery in Engineering Studies to engage with various other students from underrepresented groups in STEM. This project will integrate geochemical experimental characterization techniques and multiscale modeling approaches for addressing the fate and transport of Li originating from kerogen in geologic systems. Merging elemental, isotopic, pyrolytic, kinetic, and thermal–compositional theories into a finite volume pore–scale model and an integral finite difference basin–scale model is targeted to provide an insight into observed laboratory behavior and help progress toward a solution to a complex and expensive problem. The PI will utilize integration of a suite of experimental characterization techniques and advanced pore and basin scale modeling techniques to guide engineering efforts that aim to successfully recover sustainable resources for energy storage. Results from the research program are intended to create new opportunities of supplying Li for sustainable energy storage by transforming the source of oil and gas into a source of Li. The successful demonstration of an advanced approach to characterize Li in the subsurface energy systems may give rise to field–scale Li recovery from the source rock brines and potentially unlock vast new Li reserves.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.
虽然从富含有机物(例如石油和天然气)的源岩中产生的水被认为是废水,但最近发现它是大量锂(Li)的潜在来源,这为解决整个石油系统和能源问题开辟了新途径。锂地球化学循环。该项目将开发源岩卤水中锂的变革性表征框架,从而为将源岩卤水转化为可持续的锂来源奠定基础。因此,该项目的目标是确定新的锂来源。鉴于最近发现富含有机物烃源岩作为锂来源的潜力,这一成果将有助于解决提高国内锂供应并使之多样化的迫切需求。为了实现这一目标,研究目标是(1)通过实验确定自然地质系统中源自干酪根(产生石油和天然气的源岩的固体有机质)的锂的反应机制,(2)增强表征输运的建模能力Li作为矿物的函数(3)通过将这些信息整合到盆地尺度建模中,促进富锂卤水的识别和利用。该研究项目与启发学生了解与地下过程相关的教育目标相结合。学生将通过对源岩卤水进行盆地规模建模和成分表征来参与研究项目,以找到锂回收的最佳位置。PI 计划将这些综合研究和教育工作的结果传播给全世界。工业合作者通过此外,该教育计划将建立在 PI 现有的针对高中生的关于可持续地下能源系统主题的指导计划上,并利用计算机编程应用程序来开发短期课程、小组讨论和电子通讯。工程研究与 STEM 中代表性不足的群体的其他学生合作,该项目将整合地球化学实验表征技术和多尺度建模方法,以解决地质系统中源自干酪根的锂的命运和传输。将同位素、热解、动力学和热组成理论融入有限体积孔隙尺度模型和积分有限差分盆地尺度模型,旨在深入了解观察到的实验室行为,并帮助解决复杂而昂贵的问题该项目负责人将利用一系列实验表征技术和先进的孔隙和盆地规模建模技术来指导旨在成功回收可持续能源储存资源的工程工作,旨在创造供应锂的新机会。为了通过将石油和天然气来源转化为锂来源来实现可持续能源储存的成功示范了一种在地下能源系统中表征锂的先进方法,可能会导致从源岩卤水中回收锂,并可能释放巨大的潜力。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力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(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Release, Transport, and accumulation of lithium in shale brines
页岩卤水中锂的释放、传输和积累
- DOI:10.1016/j.fuel.2023.129629
- 发表时间:1970-01-01
- 期刊:
- 影响因子:7.4
- 作者:K. Lee;Jiahui You;Yongjun Gao;Tanguy Terlier
- 通讯作者:Tanguy Terlier
Potential of petroleum source rock brines as a New Source of Lithium : Insights from basin-scale modeling and local sensitivity analysis
石油源岩卤水作为新锂来源的潜力:盆地规模建模和局部敏感性分析的见解
- DOI:10.1016/j.egyr.2021.11.279
- 发表时间:2024-09-14
- 期刊:
- 影响因子:5.2
- 作者:K. Lee
- 通讯作者:K. Lee
Pore-Scale and Upscaled Investigations of Release and Transport of Lithium in Organic-Rich Shales
富含有机质页岩中锂的释放和运移的孔隙尺度和放大研究
- DOI:10.1007/s11242-024-02071-2
- 发表时间:2024-03
- 期刊:
- 影响因子:2.7
- 作者:You, Jiahui;Lee, Kyung Jae
- 通讯作者:Lee, Kyung Jae
The experimental investigation and data–driven modeling for thermal decomposition kinetics of Green River Shale
绿河页岩热分解动力学的实验研究和数据驱动建模
- DOI:10.1016/j.fuel.2022.123899
- 发表时间:2024-09-14
- 期刊:
- 影响因子:7.4
- 作者:Jiahui You;K. Lee
- 通讯作者:K. Lee
Upscaling reactive transport models from pore-scale to continuum-scale using deep learning method
使用深度学习方法将反应输运模型从孔隙尺度升级到连续尺度
- DOI:10.1016/j.geoen.2024.212850
- 发表时间:2024-07
- 期刊:
- 影响因子:0
- 作者:You, Jiahui;Lee, Kyung Jae
- 通讯作者:Lee, Kyung Jae
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Kyung Jae Lee其他文献
A Multicenter Study of Real-world Practice for Management of Abnormal Liver Function Tests in Children with Acute Infectious Diseases
急性传染病儿童肝功能检查异常管理实际实践的多中心研究
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:4.5
- 作者:
Yoon Lee;D. Yi;Yoo Min Lee;S. Choi;Y. Choi;Kyung Jae Lee - 通讯作者:
Kyung Jae Lee
Upscaling Reactive Transport Models from Pore-Scale to Continuum-Scale Using Deep Learning Method
使用深度学习方法将反应输运模型从孔隙尺度升级到连续尺度
- DOI:
10.1016/j.geoen.2024.212850 - 发表时间:
2024-04-01 - 期刊:
- 影响因子:0
- 作者:
Jiahui You;Kyung Jae Lee - 通讯作者:
Kyung Jae Lee
Controllable Exchange Bias Effect in (Ga, Mn)As/(Ga, Mn)(As, P) Bilayers With Non-Collinear Magnetic Anisotropy
非共线磁各向异性 (Ga, Mn)As/(Ga, Mn)(As, P) 双层中的可控交换偏压效应
- DOI:
10.1109/tmag.2020.3006876 - 发表时间:
2021-02-01 - 期刊:
- 影响因子:2.1
- 作者:
Suho Choi;Kyung Jae Lee;Seonghoon Choi;Phunvira Chongthanaphisut;S. Bac;Sanghoon Lee;Xinyu Liu - 通讯作者:
Xinyu Liu
Cerebral Venous Sinus Thrombosis with Meningitis and Septicemia due to Haemophilus influenzae Type f in an Immunocompetent Child
免疫功能正常儿童因 f 型流感嗜血杆菌引起的脑静脉窦血栓形成并伴有脑膜炎和败血症
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
H. Han;Kyung Jae Lee;H. Yu - 通讯作者:
H. Yu
Multilevel states driven by spin-orbit torque in a P-composition graded (Ga,Mn)(As,P) film
- DOI:
10.1063/9.0000523 - 发表时间:
2023-02-01 - 期刊:
- 影响因子:1.6
- 作者:
Kyung Jae Lee;Kyoul Han;Sanghoon Lee;Xinyu Liu;M. Dobrowolska;J. Furdyna - 通讯作者:
J. Furdyna
Kyung Jae Lee的其他文献
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