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Controlling selectivity of catalysts through the interaction of cobalt with promotors: Using computational modelling

Controlling selectivity of catalysts through the interaction of cobalt with promotors: Using computational modelling
通过钴与促进剂的相互作用控制催化剂的选择性:使用计算模型
批准号:
2730879
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

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中文摘要
翻译
实现净零排放需要在未来几年开发和实现多种技术。费托技术(FT)就是这样一种技术,在将废物转化为超清洁燃料方面得到了新兴应用,比填埋减少了约80%的排放量。在过去的几年里,人们对co基FT催化剂的理解已经发展起来,促进添加剂在合成、催化剂处理和FT合成过程中的作用已被证明是至关重要的;然而,关于这些启动子如何影响化学反应的知识仍然知之甚少,迄今为止大多数进展都是基于观察和假设。利用最先进的分子模型,该项目旨在阐明这些添加剂如何影响催化剂的形成以及随后在FT合成中的应用,为制造更坚固、可持续和高效的催化剂提供基础。该项目将使用第一性原理密度泛函数理论(DFT)和微动力学模拟的多尺度组合来研究感兴趣的化学反应(Co和促进剂与催化剂载体的相互作用;催化剂预还原过程中CoOx/MOx的相稳定性;改变Co催化剂结构时反应产物的选择性)。
英文摘要
Achieving net zero emissions will require multiple technologies to be developed and realised in the coming years. Fischer-Tropsch (FT) is one such technology, with emergent application in the conversion of waste into ultra clean fuels, leading to approximately 80% emission reductions over landfill. Over several years, an understanding of the Co-based FT catalyst has been developed, and the role of promotional additives has proven critical during synthesis, catalyst treatment, and FT synthesis; however, knowledge of how these promoters affect the chemistry remain poorly understood, with most progression to-date based on observation and hypothesis. Using state-of-the-art molecular modelling, this project aims to elucidate exactly how these additives impact catalyst formation and the subsequent application in FT synthesis, providing foundations to make more robust, sustainable and efficient catalysts. The project will use a multiscale combination of first-principles density functional theory (DFT) and microkinetic simulations to investigate the chemistry of interest (interaction of Co and promoters with catalyst support; phases stability of CoOx/MOx during pre-catalyst reduction; selectivity of reaction products with changing Co catalyst structure)
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