Chemistry

Materials science

Operations management

Engineering

Metric (unit)

Organic chemistry

Operating system

Computer science

Process (computing)

Adsorption

Pressure swing adsorption

Heuristics

Desorption

Process engineering

ACS Sustainable Chemistry & Engineering

Molecular simulations are combined with macroscopic pressure swing adsorption (PSA) modeling and process optimization to screen ∼2900 metal–organic frameworks (MOFs) for their suitability in separating CO2 from N2 under conditions of interest in postcombustion CO2 capture. The hierarchical screening process eliminates MOFs based on metal price, new heuristics based on the internal energy of adsorption, full PSA modeling and optimization, and other factors. Based on PSA modeling of 190 materials, a general evaluation metric (GEM) is developed that can approximately rank the performance of adsorbent materials as defined by the lowest cost for postcombustion CO2 capture. The metric requires only isotherm data and the N2 internal energy of adsorption. The N2 working capacity is the most important component of the metric, followed by the CO2 working capacity, the CO2/N2 selectivity at desorption conditions, and the N2 internal energy of adsorption. Additional analysis shows that the correlation between the cost of CO2 capture and the GEM is better than that of other existing evaluation metrics reported in the literature. For the most promising MOFs, the cost to capture a tonne of CO2 is estimated to be $30–$40 plus the cost of compressing the CO2 product.

Development of a General Evaluation Metric for Rapid Screening of Adsorbent Materials for Postcombustion CO<sub>2</sub> Capture

Development of a General Evaluation Metric for Rapid Screening of Adsorbent Materials for Postcombustion CO2 Capture

Development of a General Evaluation Metric for Rapid Screening of Adsorbent Materials for Postcombustion CO₂ Capture