用于瞬态和静态电化学 H2O 和 CO2 转化过程研究的固体氧化物电池反应器模型

F. Sedeqi, S. Santhanam, Matthias Riegraf, Marc Riedel, M. Heddrich, S. Ansar
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引用次数: 0

摘要

高温固体氧化物电池(SOC)电化学反应器能够通过二氧化碳和共电解将大气中的碳有效地转化为高价值的化学物质,用于工业和能源储存,这使其成为活性碳利用的关键技术。然而,由于热化学反应在热管理方面的额外操作风险、有限的实验能力以及相对较新的技术,二氧化碳和共电解在大规模应用方面落后于蒸汽电解。在此,通过一种独特的共电解电化学表示方法,改进了基于基本第一原理的一维+一维 SOC 模型,该模型考虑了三维热传递,并以较低的计算量进行求解。根据两种成分和压力的实验数据进行的验证表明,该模型在电池特性电压、温度和出口成分方面具有很高的准确性。模型还显示,共电解过程中的二氧化碳还原主要是通过反向水气转移实现的,而二氧化碳电解仍占总份额的 35%。加压共电解操作会促进甲烷化放热,导致反应器明显升温,从而降低等温电流密度。因此,中低压可能最适合与下游合成工艺耦合,以避免安装不必要的大型系统和相关的高成本。
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Solid Oxide Cell Reactor Model for Transient and Stationary Electrochemical H2O and CO2 Conversion Process Studies
The ability of high-temperature solid oxide cell (SOC) electrochemical reactors to efficiently convert atmospheric carbon to high value chemicals for industrial and energy storage applications via CO2 and co-electrolysis makes them a key technology for active carbon utilisation. However, due to additional operational risks from thermochemical reactions on thermal management, limited experimental capacity, and relative novelty, CO2 and co-electrolysis lag behind steam electrolysis in large-scale adoption. Here, a 1D+1D SOC model based on fundamental first principles considering three-dimensional heat transfer was improved via a unique method for representing co-electrolysis electrochemistry, solving with low computational effort. Validation against experimental data for two compositions and pressures, showed high levels of accuracy with respect to characteristic cell voltages, temperatures, and outlet compositions. The model also showed CO2 reduction during co-electrolysis mainly occurred via reverse water gas shift, while CO2 electrolysis still accounted for up to 35% of the total share. Pressurised co-electrolysis operation promotes exothermic methanation, causing pronounced heating of the reactor, consequently reducing the isothermal current density. Therefore, low to moderate pressurisation is likely most suited for coupling with downstream synthesis processes to avoid the installation of unnecessarily large systems and associated high costs.
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