High Throughput Experiments to Determine Structure-Performance Relationships for Oxide Photocatalysts

高通量实验确定氧化物光催化剂的结构-性能关系

基本信息

批准号：
2016267
负责人：
Gregory Rohrer
金额：
$ 64万
依托单位：
Carnegie-Mellon University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-08-01 至 2024-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2016267&HistoricalAwards=false
关键词：
Throughput Experiments Determine Structure Performance

项目摘要

NON-TECHNICAL DESCRIPTION: The production of hydrogen fuel by solar water splitting is a sustainable technology that could be used to decrease our reliance on fossil fuels. However, the technology is materials limited because currently available water splitting catalysts cannot produce hydrogen at a cost that is competitive with fossil energy sources. The scientific process for discovering improved catalysts has been hindered in part by the pace of experimentation. This research employs a new technique that makes it possible to measure the rates at which more than 100 different catalysts evolve hydrogen at the same time, effectively increasing the number of measurements that can be made by a factor of 100. This measurement technique makes it possible to systematically explore the relationships between the characteristics of a material and the rate at which it produces hydrogen and, therefore, identify improved water splitting catalysts. The project also uses demonstrations of the technology for informal science education events and educates undergraduate and graduate students who are prepared to work in the renewable energy industry.TECHNICAL DETAILS: The goal of this project is to design improved oxide water splitting catalysts using experimentally measured structure-performance relationships. Catalyst performance depends on many parameters related to the composition, processing, and structure of the material, as well as the conditions in the reactor. The experiments leverage a newly developed parallel and automated photochemical reactor that makes it possible to measure the hydrogen yield from up to 108 catalysts in a single experiment, systematically determining the influence of particle shape, particle size, dopants, charged surface domains, protective coatings, co-catalysts, and many other catalyst characteristics on the hydrogen production rate. The experiments produce a database of calibrated hydrogen production rates from thousands of catalytic materials based on strontium, barium, lead, and iron titanate, as well as some solid solutions of these compounds. The structure-performance relationships developed from these data are the basis for the development of improved catalysts. The importance of these catalysts is that they can be used to produce a sustainable solar fuel whose combustion does not contribute carbon dioxide to the atmosphere.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.

非技术描述：太阳能水分分解氢燃料的生产是一种可持续技术，可用于减少我们对化石燃料的依赖。但是，该技术受到材料有限的，因为目前可用的水分分割催化剂无法以与化石能源具有竞争力的成本生产氢。发现改善催化剂的科学过程部分受到实验的速度阻碍了。这项研究采用了一种新技术，可以衡量100多个不同催化剂同时进化氢的速率，从而有效地增加了100倍的测量数量。这种测量技术使得可以系统地探索材料的特征与质量较高的材料的特征和较高的耐水型耐水量的材料之间的关系。该项目还使用该技术的演示进行非正式科学教育活动，并教育准备在可再生能源行业工作的本科生和研究生。技术详细信息：该项目的目的是使用实验测量的结构表现关系来设计改进的氧化物水分裂催化剂。催化剂性能取决于与材料的组成，处理和结构以及反应器中的条件有关的许多参数。该实验利用了一个新开发的平行和自动化的光化学反应器，可以在一个实验中测量氢产量从108个催化剂，系统地确定颗粒形状，粒径，掺杂剂，带电的表面域，保护性涂层，cotAtalysts，Co-Tapatalysts，Co-Catalysts和许多其他催化剂对水力发电率的影响。这些实验从基于锶，钡，铅和钛酸铁以及这些化合物的一些实心溶液中产生了数千种催化材料的校准氢生产率数据库。从这些数据开发的结构 - 性能关系是改善催化剂的发展的基础。这些催化剂的重要性在于它们可用于生产可持续的太阳能燃料，该燃料不会为气氛造成二氧化碳。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和更广泛影响的审查标准来通过评估来进行评估的。