4.8 Article

Simultaneous Estimation of Gas Adsorption Equilibria and Kinetics of Individual Shaped Adsorbents

期刊

CHEMISTRY OF MATERIALS
卷 34, 期 15, 页码 6671-6686

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.chemmater.2c01567

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资金

  1. Department of Chemical Engineering, Imperial College London
  2. Swiss National Science Foundation [191875]
  3. bp International Centre for Advanced Materials (bp-ICAM)
  4. Engineering and Physical Sciences Research Council (EPSRC) through the CDT in Advanced Characterisation of Materials [EP/S515085/1]

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This study aims to develop a novel method for characterizing the adsorption properties of individual shaped adsorbents using a small amount of material. The researchers used an experimental dynamic sorption setup and mathematical models to study mass transport, and utilized a derivative-free optimizer to predict model parameters. By testing and validating the method on adsorbents with different properties, it was demonstrated that this approach can rapidly and quantitatively characterize adsorption properties.
Shaped adsorbents (e.g., pellets, extrudates) are typically employed in several gas separation and sensing applications. The performance of these adsorbents is dictated by two key factors, their adsorption equilibrium capacity and kinetics. Often, adsorption equilibrium and textural properties are reported for materials. Adsorption kinetics are seldom presented due to the challenges associated with measuring them. The overarching goal of this work is to develop an approach to characterize the adsorption properties of individual shaped adsorbents with less than 100 mg of material. To this aim, we have developed an experimental dynamic sorption setup and complemented it with mathematical models, to describe the mass transport in the system. We embed these models into a derivative-free optimizer to predict model parameters for adsorption equilibrium and kinetics. We evaluate and independently validate the performance of our approach on three adsorbents that exhibit differences in their chemistry, synthesis, formulation, and textural properties. Further, we test the robustness of our mathematical framework using a digital twin. We show that the framework can rapidly (i.e., in a few hours) and quantitatively characterize adsorption properties at a milligram scale, making it suitable for the screening of novel porous materials.

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