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Experimental, computational and thermodynamic studies in perovskites metal oxides for thermochemical fuel production: A review
International Journal of Hydrogen Energy ( IF 7.2 ) Pub Date : 2020-04-03 , DOI: 10.1016/j.ijhydene.2020.02.126
Alicia Bayon , Alberto de la Calle , Krishna Kamol Ghose , Alister Page , Robbie McNaughton

Solar thermal-driven thermochemical H2O and CO2 splitting offers a carbon-neutral path to produce feedstocks for synthetic fuel production such as hydrogen or synthesis gas. This paper assesses research outcomes for perovskite materials in two-step thermochemical cycles. Experimental, computational and thermodynamic studies are summarized and critically discussed, identifying key attributes for future research. In addition to the critical review, a fast method for the classification of effective thermochemical properties (oxygen vacancy formation enthalpy and entropy) in a wide range of operational temperatures is provided. These properties together with a high-grade of sintering resistance and fast kinetics are the main characteristics required to maximize the solar-to-fuel efficiency of the process. The discovery of optimum material compositions for this application could be effectively achieved by a combination of machine learning, DFT, experimental testing and system modelling, and will require an extensive international research effort. If successful, this could lead to the ultimate development and practical application of thermochemical cycles for fuel production.



中文翻译:

钙钛矿金属氧化物用于热化学燃料生产的实验,计算和热力学研究:综述

太阳能热驱动热化学H 2 O和CO 2裂解提供了碳中和的途径,以生产用于合成燃料生产的原料,例如氢气或合成气。本文评估了钙钛矿材料在两步热化学循环中的研究成果。总结并批判性地讨论了实验,计算和热力学研究,确定了未来研究的关键属性。除了严格的审查之外,还提供了一种在广泛的工作温度范围内对有效热化学性质(氧空位形成焓和熵)进行分类的快速方法。这些特性以及高等级的耐烧结性和快速动力学是使该工艺的太阳能转化为燃料效率最大化所需的主要特征。通过将机器学习,DFT,实验测试和系统建模相结合,可以有效地实现针对此应用的最佳材料成分的发现,这需要大量的国际研究工作。如果成功,这将导致热化学循环在燃料生产中的最终发展和实际应用。

更新日期:2020-04-03
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