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Collaborative Research: ECO-CBET: Multi-scale design of liquid hydrogen carriers for spatio-temporal balancing of renewable energy systems

Collaborative Research: ECO-CBET: Multi-scale design of liquid hydrogen carriers for spatio-temporal balancing of renewable energy systems
合作研究:ECO-CBET:用于可再生能源系统时空平衡的液氢载体的多尺度设计
批准号:
2318616
负责人:
Srinivas Rangarajan
金额:
$42.5万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-08-15 至 2027-07-31

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中文摘要
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英文摘要
The affordability of transporting and storing liquid petroleum products has facilitated worldwide accessibility to transportation fuels such as gasoline and diesel. Similarly, the widespread adoption of variable renewable energy to decarbonize the energy sector relies on developing cost-effective energy transportation and storage technologies. Employing hydrogen for storing and transporting variable renewable energy is a promising solution, but technological advancements are necessary to ensure economic viability. Two-way liquid organic hydrogen carriers (LOHCs) are organic molecules whose well-known reactions can be exploited to store hydrogen. LOHC-based hydrogen storage and transportation technologies require a global network of distributed processing sites where LOHCs are produced (at the hydrogen source) or consumed (where hydrogen or energy is in demand); molecules are transported between these sites. The choice of LOHC molecule impacts the reactions that can be used, processes that can be employed at the processing sites, and the economics and sustainability of the entire supply chain. Thus, designing LOHC-based technologies must consider the interdependent aspects holistically. Accordingly, this project seeks to accelerate the discovery of alternative high hydrogen capacity LOHCs that are cost-effective, safe, and environmentally sustainable. A multidisciplinary team with scientific expertise from the atomic/molecular to the global scale will tackle this complex multiscale challenge. Complementing this research, the team will train the next generation of STEM engineers from diverse backgrounds. The team will also mentor students from underrepresented groups through on-campus programs and local organizations, such as the Louis Stokes Alliance for Minority Participation (LSAMP) program and the American Indian Science and Engineering Society (AISES) student chapter. Additionally, the team will engage with an Alaskan village, leveraging the participation of a local educator, to demonstrate the advantages of next-generation variable renewable energy storage and transportation technologies.The central hypothesis of the research is that alcohol-based LOHCs such as ethanol can overcome the challenges of traditional carriers, including poor thermochemistry and low hydrogen capacity. To evaluate this hypothesis, the investigators will (1) rigorously evaluate the discharging and charging catalytic chemistries of ethanol LOHC, both thermochemically and electrochemically, (2) develop kinetic models of these reactions, and (3) leverage the kinetic models to assess the techno-economics and sustainability of deploying this LOHC system in a regional and global supply chain. Given the vast space of organic molecules and several types of acceptor-less dehydrogenation chemistries, many carriers and mixtures of carriers potentially exist. Systematically exploring this space is essential to discovering optimal, cost-effective, and environmentally benign carriers. Building on the insights from studying ethanol, the investigators will explore novel alternative alcohol-based LOHCs using a new chemistry-cognizant molecule discovery platform, experimentally validate top candidates, and evaluate the economics and environmental impacts of the leading candidates relative to ethanol and currently known LOHCs.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.
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CAREER: Computational design of sustainable hydrogenation systems via a novel combination of data science, optimization, and ab initio methods
  • 批准号:
    2045550
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2021
  • 负责人:
    Srinivas Rangarajan
  • 依托单位:
CDS&E: Collaborative Research: Towards computational discovery of synthetically feasible porous organic frameworks
  • 批准号:
    1953245
  • 项目类别:
    Standard Grant
  • 资助金额:
    $42.0万
  • 财政年份:
    2020
  • 负责人:
    Srinivas Rangarajan
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)