Abstract
The performance of an adsorption-based separation process is dictated by the choices of the solid sorbent and the process configuration. Often screening of materials and process configuration is performed using digital twins that mimic a real adsorption process. In typical studies, either several materials are screened for a specific process configuration to find the best candidate or the performance of several process configurations is evaluated for a specific material. However, it has long been suggested that to truly maximize the potential of a given material, it should be "married" to processes. In this work, we address the "marriage" of materials and processes through three dedicated goals. First, to develop a modeling framework for an all-encompassing pressure swing adsorption cycle composed of several process configurations. Second, to develop an optimization framework, drawing inspiration from superstructures, to select the optimal process configuration from the all-encompassing cycle to reach a given process target. Third, to highlight the importance and relevance of such an approach that enables each material to truly maximize its potential, by varying both the process configuration and the corresponding operating conditions. To address these goals, we have developed a computational framework composed of a process model and a process optimizer. Subsequently, using this computational framework, we have evaluated the performance of several real and hypothetical materials. Our computational studies led to two key outcomes, namely, (1) to employ an integrated material-process optimization approach to maximize the true potential of any material when screening for a given application and when evaluating the performance under different feed conditions; and (2) not to generalize the observations regarding the best process configuration from one material to every other material.
Supplementary materials
Title
Supporting Information for "Marrying Materials and Processes: A Superstructure Inspired Optimization Approach For Pressure Swing Adsorption Based Carbon Dioxide Capture Processes"
Description
In this supporting information, we provide additional material that was used to generate the results discussed in the main text. (1) We provide the isotherm parameters for all the materials; (2) we visualize the individual process configurations and their pressure profiles; (3) we provide the equations and the boundary conditions for the process model; (4) we provide the simulation and optimization parameters; (5) we provide the range of the decision variables used in the optimization routine; and (6) we illustrate the comparison of the Pareto fronts for the three process configurations obtained from a single objective and a multiobjective optimization routine.
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Title
Simulation Results
Description
In this compressed file, we provide the data associated with the simulations and the Pareto fronts for all the materials and the conditions explored in this work.
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