An Instructive CO2 Adsorption Model for DAC: Wave Solutions and Optimal Processes.

IF 2.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Entropy Pub Date : 2024-11-13 DOI:10.3390/e26110972
Emily Kay-Leighton, Henning Struchtrup
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Abstract

We present and investigate a simple yet instructive model for the adsorption of CO2 from air in porous media as used in direct air capture (DAC) processes. Mathematical analysis and non-dimensionalization reveal that the sorbent is characterized by the sorption timescale and capacity, while the adsorption process is effectively wavelike. The systematic evaluation shows that the overall adsorption rate and the recommended charging duration depend only on the wave parameter that is found as the ratio of capacity and dimensionless air flow velocity. Specifically, smaller wave parameters yield a larger overall charging rate, while larger wave parameters reduce the work required to move air through the sorbent. Thus, optimal process conditions must compromise between a large overall adsorption rate and low work requirements.

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用于 DAC 的二氧化碳吸附教学模型:波浪解决方案和最佳流程。
我们提出并研究了多孔介质吸附空气中二氧化碳的一个简单而有启发性的模型,该模型用于直接空气捕获(DAC)过程。数学分析和非尺寸化显示,吸附剂的特点是吸附时间尺度和吸附容量,而吸附过程实际上是波浪式的。系统评估结果表明,总体吸附率和建议的充填持续时间只取决于波形参数,而波形参数是吸附容量与无量纲气流速度之比。具体来说,较小的波形参数会产生较大的总体装填率,而较大的波形参数则会减少空气通过吸附剂所需的功。因此,最佳工艺条件必须在较大的总体吸附率和较低的功耗要求之间取得平衡。
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来源期刊
Entropy
Entropy PHYSICS, MULTIDISCIPLINARY-
CiteScore
4.90
自引率
11.10%
发文量
1580
审稿时长
21.05 days
期刊介绍: Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish as much as possible their theoretical and experimental details. There is no restriction on the length of the papers. If there are computation and the experiment, the details must be provided so that the results can be reproduced.
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Refining the Allostatic Self-Efficacy Theory of Fatigue and Depression Using Causal Inference. Applications of Entropy in Data Analysis and Machine Learning: A Review. Transpiling Quantum Assembly Language Circuits to a Qudit Form. Fundamental Limits of an Irreversible Heat Engine. Ornstein-Uhlenbeck Adaptation as a Mechanism for Learning in Brains and Machines.
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