Gama Vitor, Roy Deepanjali, Lima Fernando V, Sanyal Oishi
Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia 26506, United States.
Ind Eng Chem Res. 2025 Apr 10;64(16):8375-8389. doi: 10.1021/acs.iecr.4c04553. eCollection 2025 Apr 23.
This paper presents a process modeling approach for a two-staged membrane-based direct air capture (m-DAC) process, considering material characteristics, membrane separation, and system properties. m-DAC is a negative emissions technology for capturing dilute CO from air. Its continuous and modular nature could reduce economic challenges compared to sorption-based processes, which require costly regeneration. Facilitated transport membranes, with specialized CO carriers, offer higher performance than traditional sorption-diffusion membranes. Their key properties-the CO apparent diffusion coefficient () and equilibrium constant ( )-determine membrane separation properties such as CO permeance and CO/N selectivity. This work maps these inputs to feasible output spaces such as for CO recovery, purity, and capture cost. Additionally, inverse design is used to determine the required membrane properties for target system outcomes. Overall, this study provides a framework for membrane researchers to design cost-effective, scalable m-DAC solutions.
本文提出了一种用于两阶段基于膜的直接空气捕获(m-DAC)过程的过程建模方法,该方法考虑了材料特性、膜分离和系统特性。m-DAC是一种用于从空气中捕获稀释CO₂的负排放技术。与需要昂贵再生的基于吸附的过程相比,其连续和模块化的性质可以减少经济挑战。具有特殊CO₂载体的促进传输膜比传统的吸附-扩散膜具有更高的性能。它们的关键特性——CO₂表观扩散系数( )和平衡常数( )——决定了膜的分离特性,如CO₂渗透率和CO₂/N₂选择性。这项工作将这些输入映射到可行的输出空间,如CO₂回收率、纯度和捕获成本。此外,逆向设计用于确定目标系统结果所需的膜特性。总体而言,本研究为膜研究人员提供了一个框架,以设计具有成本效益、可扩展的m-DAC解决方案。