课题基金 / 基金详情

Readily scalable and efficient iron-based PEM fuel cell electrocatalysts from low cost metal organic framework precursors

Readily scalable and efficient iron-based PEM fuel cell electrocatalysts from low cost metal organic framework precursors
由低成本金属有机骨架前体制成的易于扩展且高效的铁基质子交换膜燃料电池电催化剂
批准号:
463405-2014
负责人:
Friscic, Tomislav
金额:
$14.67万
依托单位:
依托单位国家:
加拿大
项目类别:
Strategic Projects - Group
财政年份:
2014
资助国家:
加拿大
项目状态:
已结题
起止时间:
2014-01-01 至 2015-12-31

项目摘要

项目成果

Friscic, Tomislav的其他基金

相似基金

相关文献

中文摘要
翻译
提出的研究旨在解决氢燃料电池技术的一个突出问题,即需要昂贵的铂基电催化剂来进行通常缓慢的氧还原反应(ORR)。也就是说,电催化剂的高成本限制了该技术的普遍适用性,使得基于更便宜和更丰富的金属的催化材料的开发成为燃料电池开发的主要活动之一。拟议的研究将通过新的合成方法、广泛的表征和理论建模的结合,系统地开发一种廉价的碳质铁基ORR电催化剂的新设计,其性能接近铂基替代品。这种新颖的设计是由support Organization Canetique Electrolysis最近发现的,它涉及到通过热解支撑在微孔金属有机框架(MOF)上的简单铁配位配合物来合成电催化剂。由于mof是最近发展起来的微孔材料家族,目前只有一种可用于电催化剂合成的商业材料,成本为10,000美元/公斤。此外,这种材料不适合改性,阻碍了这种铁基ORR催化剂的进一步优化和开发。该研究将利用PI开发的将简单无机原料转化为多种多孔mof的快速无溶剂方法,并利用它们系统地探索涉及mof和铁基添加剂不同组合的新型电催化剂前驱体。这将最终对电催化剂前驱体的结构如何决定电催化剂的性能提供一个强有力的理解。重要的是,我们将开发新的合成方法,能够一步生产所需的电催化剂前驱体,并达到一公斤的规模。本研究对新型铁基电催化剂的理解和高效的大规模合成将为开发新型、廉价和高效的燃料电池产品提供一条途径。
英文摘要
The proposed research aims to resolve an outstanding problem of the hydrogen fuel cell technology, which is the need for highly expensive platinum-based electrocatalysts for the typically slow oxygen reduction reaction (ORR). Namely, the high cost of the electrocatalyst limits the general applicability of this technology, making the development of catalytic materials based on less expensive and more abundant metals one of the principal activities in fuel cell development. The proposed research will systematically, through a combination of new synthesis approaches, extensive characterization and theoretical modelling, develop a novel design for inexpensive carbonaceous iron-based ORR electrocatalysts whose performance is near to that of platinum-based alternatives. This novel design was recently discovered by the Supporting Organization Canetique Electrolysis, and involves the synthesis of the electrocatalyst by pyrolysis of a simple iron coordination complex supported on a microporous metal-organic framework (MOF). As MOFs are a recently developed family of microporous materials, there is only one commercially available material compatible with electrocatalyst synthesis, with a cost of $10,000/kg. Furthermore, this material is not amenable to modifications, preventing the further optimization and development of such iron-based ORR catalysts. The proposed research will exploit the rapid and solvent-free methods for the transformation of simple inorganic feedstocks into diverse porous MOFs, developed by the PI, and utilize them to systematically explore new electrocatalyst precursors involving diverse combinations of MOFs and iron-based additives. This will ultimately provide a strong understanding of how the structure of the electrocatalyst precursor determines the electrocatalyst performance. Importantly, we will develop new synthetic procedures capable of producing the desired electrocatalyst precursor in one step and up to a kilogram scale. The understanding and efficient large-scale synthesis of novel iron-based electrocatalysts resulting from the proposed research will provide a route to develop new, inexpensive and efficient fuel cell products.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Mechanochemistry and Solid-state Chemistry
  • 批准号:
    CRC-2020-00342
  • 项目类别:
    Canada Research Chairs
  • 资助金额:
    $7.29万
  • 财政年份:
    2022
  • 负责人:
    Friscic, Tomislav
  • 依托单位:
Nominated for the NSERC John C. Polanyi Award
  • 批准号:
    562908-2022
  • 项目类别:
    John C. Polanyi Award
  • 资助金额:
    $18.21万
  • 财政年份:
    2021
  • 负责人:
    Friscic, Tomislav
  • 依托单位:
Mechanochemistry And Solid-State Chemistry
  • 批准号:
    CRC-2020-00342
  • 项目类别:
    Canada Research Chairs
  • 资助金额:
    $14.57万
  • 财政年份:
    2021
  • 负责人:
    Friscic, Tomislav
  • 依托单位:
The development and mechanistic understanding of solid-state reactivity for energy- and materials-efficient synthesis
  • 批准号:
    RGPIN-2017-06467
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $15.44万
  • 财政年份:
    2021
  • 负责人:
    Friscic, Tomislav
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis