Applying computational chemistry to the study of proton exchange membranes/ Étude par modélisation moléculaire de membranes échangeuses de protons
Applying computational chemistry to the study of proton exchange membranes/ Étude par modélisation moléculaire de membranes échangeuses de protons
批准号:
331125-2005
负责人:
Soldera, Armand
金额:
$4.7万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2006
资助国家:
加拿大
项目状态:
已结题
起止时间:
2006-01-01 至 2007-12-31
中文摘要
聚合物电解质膜燃料电池(PEMFC)是正在开发的用于汽车应用的主要系统。然而,必须实现一些改进,以使燃料电池在经济上与其他替代解决方案(例如高性能柴油或混合动力车辆)竞争。在这个提议中,一个层次的系列计算化学方法被用来解决质子交换膜(PEM)的高温低湿性能问题。该程序的目的是通过来自不同计算化学方法的数据与实验结果之间的密切联系来捕获分子行为的洞察力。因此,对控制PEM性能的物理机制的分子水平的理解应该有助于推进它们的发展,从而提高燃料电池的最终效率。该主要阶段的目的是通过将计算的介观形态与实验确定的结构进行比较,阐明控制Nafion®(PEMFC中使用的膜的实际基准聚合物)中相分离和自组织规模的因素。这些特征将为初步评价拟议方法的准确性提供基础。 下一个重点是将Nafion®工作期间开发的方法应用于通用汽车目前正在开发的新合成嵌段共聚物PEM。 对这些嵌段共聚物的拟议计算旨在补充和提供通用汽车公司现有的和计划的实验计划,这些膜的背景。从这种比较中也可以预期改进膜合成的指导。 最终的目标是一个完全开发的方法,可以预测的化学组成,长度的组成块,和多分散性的基础上的无规和嵌段共聚物离聚物的结构相的稳定性的变化。在计算理论和实验之间的迭代过程中利用实验结果被视为取得实质性进展的重要组成部分。这种交流是舍布鲁克大学和通用汽车加拿大有限公司目前合作的核心。
英文摘要
Polymer electrolyte membrane fuel cells (PEMFC's) are the primary system being developed for use in automotive applications. Nevertheless, some improvements have to be achieved to make fuel cells economically competitive with other alternative solutions, such as high performance diesel, or hybrid vehicles. In this proposal, a hierarchical series of computational chemistry methods is used to solve the high-temperature low-humidity performance problems of proton exchange membranes (PEM). The procedure is intended to capture the insight of molecular behaviour through the intimately link between data stemming from the different computation chemistry methods, and the experimental results. A molecular level understanding of the physical mechanisms controlling PEM performance should thus help advance their development and therefore improve the final efficiency of fuel cells. The purpose of this primary phase is to clarify the factors governing the scale of phase segregation and self-organization in Nafion®, the actual benchmark polymer for membranes used in PEMFC, by comparing the calculated mesoscale morphology to its experimentally determined structure. These features will provide the basis for an initial evaluation of the accuracy of the proposed methodology. The next focus is to apply the methods developed during the Nafion® work to newly synthesized block copolymer PEMs currently being developed by GM. The proposed calculations on these block copolymers are intended to complement and provide context to GM's existing and planned experimental program on these membranes. Guidance on improving membrane synthesis is also anticipated from such comparisons. The final goal is a fully developed methodology that can predict changes in the stability of the structural phases of both random and block copolymer ionomers based on the chemical composition, length of the component blocks, and polydispersity. Leveraging of experimental results in an iterative process between computational theory and experiment is viewed as essential component for making substantial progress. This interchange is central to the current collaboration between Université de Sherbrooke and GM Canada Limited.
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资助金额:$3.5万
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财政年份:2022
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资助金额:$2.48万
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依托单位:
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资助金额:$2.48万
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依托单位:
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资助金额:$2.48万
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依托单位:
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批准号:249997-2013
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.48万
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依托单位:
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资助金额:$1.97万
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依托单位:
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依托单位:
Applying computational chemistry to the study of proton exchange membranes/ Étude par modélisation moléculaire de membranes échangeuses de protons
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批准号:331125-2005
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项目类别:Collaborative Research and Development Grants
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资助金额:$1.86万
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依托单位:
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依托单位:
Applying computational chemistry to the study of proton exchange membranes/ Étude par modélisation moléculaire de membranes échangeuses de protons
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批准号:331125-2005
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依托单位:
Applying computational chemistry to the study of proton exchange membranes/ Étude par modélisation moléculaire de membranes échangeuses de protons
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批准号:331125-2005
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依托单位:
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.97万
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负责人:Soldera, Armand
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