Matches in SemOpenAlex for { <https://semopenalex.org/work/W2947902713> ?p ?o ?g. }
- W2947902713 endingPage "11539" @default.
- W2947902713 startingPage "11529" @default.
- W2947902713 abstract "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." @default.
- W2947902713 created "2019-06-07" @default.
- W2947902713 creator A5019016673 @default.
- W2947902713 creator A5043156852 @default.
- W2947902713 creator A5059483379 @default.
- W2947902713 creator A5062751420 @default.
- W2947902713 date "2019-05-28" @default.
- W2947902713 modified "2023-10-16" @default.
- W2947902713 title "Development of a General Evaluation Metric for Rapid Screening of Adsorbent Materials for Postcombustion CO<sub>2</sub> Capture" @default.
- W2947902713 cites W1875064910 @default.
- W2947902713 cites W1876006411 @default.
- W2947902713 cites W1963883777 @default.
- W2947902713 cites W1972427151 @default.
- W2947902713 cites W1975138378 @default.
- W2947902713 cites W1979773222 @default.
- W2947902713 cites W1979773875 @default.
- W2947902713 cites W1992764450 @default.
- W2947902713 cites W2007438218 @default.
- W2947902713 cites W2008978792 @default.
- W2947902713 cites W2020477372 @default.
- W2947902713 cites W2022577542 @default.
- W2947902713 cites W2030971064 @default.
- W2947902713 cites W2033192040 @default.
- W2947902713 cites W2037959605 @default.
- W2947902713 cites W2039150507 @default.
- W2947902713 cites W2044166072 @default.
- W2947902713 cites W2048013059 @default.
- W2947902713 cites W2051311193 @default.
- W2947902713 cites W2052593583 @default.
- W2947902713 cites W2053294416 @default.
- W2947902713 cites W2054035599 @default.
- W2947902713 cites W2060203926 @default.
- W2947902713 cites W2063759990 @default.
- W2947902713 cites W2065758325 @default.
- W2947902713 cites W2067900833 @default.
- W2947902713 cites W2075642270 @default.
- W2947902713 cites W2084266203 @default.
- W2947902713 cites W2097264163 @default.
- W2947902713 cites W2101778639 @default.
- W2947902713 cites W2106425752 @default.
- W2947902713 cites W2126105956 @default.
- W2947902713 cites W2135590672 @default.
- W2947902713 cites W2135709753 @default.
- W2947902713 cites W2139640451 @default.
- W2947902713 cites W2141939342 @default.
- W2947902713 cites W2141947050 @default.
- W2947902713 cites W2144543232 @default.
- W2947902713 cites W2156454985 @default.
- W2947902713 cites W2163242195 @default.
- W2947902713 cites W2170199983 @default.
- W2947902713 cites W2233387007 @default.
- W2947902713 cites W2279625958 @default.
- W2947902713 cites W2314543495 @default.
- W2947902713 cites W2323742314 @default.
- W2947902713 cites W2324140332 @default.
- W2947902713 cites W2324239381 @default.
- W2947902713 cites W2328898417 @default.
- W2947902713 cites W2331422090 @default.
- W2947902713 cites W2332033701 @default.
- W2947902713 cites W2333824955 @default.
- W2947902713 cites W2421707041 @default.
- W2947902713 cites W2508067732 @default.
- W2947902713 cites W2530805533 @default.
- W2947902713 cites W2727106778 @default.
- W2947902713 cites W2734916297 @default.
- W2947902713 cites W2747746872 @default.
- W2947902713 cites W2895285618 @default.
- W2947902713 cites W2912065085 @default.
- W2947902713 doi "https://doi.org/10.1021/acssuschemeng.9b01418" @default.
- W2947902713 hasPublicationYear "2019" @default.
- W2947902713 type Work @default.
- W2947902713 sameAs 2947902713 @default.
- W2947902713 citedByCount "67" @default.
- W2947902713 countsByYear W29479027132019 @default.
- W2947902713 countsByYear W29479027132020 @default.
- W2947902713 countsByYear W29479027132021 @default.
- W2947902713 countsByYear W29479027132022 @default.
- W2947902713 countsByYear W29479027132023 @default.
- W2947902713 crossrefType "journal-article" @default.
- W2947902713 hasAuthorship W2947902713A5019016673 @default.
- W2947902713 hasAuthorship W2947902713A5043156852 @default.
- W2947902713 hasAuthorship W2947902713A5059483379 @default.
- W2947902713 hasAuthorship W2947902713A5062751420 @default.
- W2947902713 hasConcept C111919701 @default.
- W2947902713 hasConcept C127413603 @default.
- W2947902713 hasConcept C127705205 @default.
- W2947902713 hasConcept C150394285 @default.
- W2947902713 hasConcept C162711632 @default.
- W2947902713 hasConcept C176217482 @default.
- W2947902713 hasConcept C178790620 @default.
- W2947902713 hasConcept C185592680 @default.
- W2947902713 hasConcept C192562407 @default.
- W2947902713 hasConcept C201416721 @default.
- W2947902713 hasConcept C21547014 @default.
- W2947902713 hasConcept C21880701 @default.
- W2947902713 hasConcept C41008148 @default.
- W2947902713 hasConcept C98045186 @default.
- W2947902713 hasConceptScore W2947902713C111919701 @default.