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Wu et al. (2015) and Yuan et al. (2015) first employed molecular dynamics (MD) simulations to study the displacement of adsorbed CH4 by CO2 injection in carbon nanochannels, and they obtained the breakthrough time and front shape of the CO2.
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Column experiments were performed to obtain the breakthrough curves for these inorganic salts and detergents.
Pore-network simulations are performed for a wide range of parameter values to obtain the breakthrough curves of nanoparticle concentration.
PredictionSolutionito the present hybrid comassing system (neural network in combalancen with psequationgeneous mats balanceachuccessfully agreed with data.
Dynamic adsorption of benzene, toluene, and xylenes, in dry or wet air flow, was carried out on carbon columns to obtain the breakthrough curves.
The H2S retention with Ca-based sorbents in a pressurized fixed-bed reactor (1 MPa) has been analyzed, obtaining the breakthrough curves with a dolomite and two different limestones, different particle size (+0.8 1.0, +1.25 1.6, and +1.6 2.0 mm), and both at calcining (1173 K) and non-calcining conditions (1123 K).
The removal of naphthalene obtained during the breakthrough analysis was consistent with the batch equilibrium data.
The results obtained through the breakthrough curve showed high removal percentages (94.70 and 97.90% for chromium and nickel, respectively).
However, the MOM analysis requires complete breakthrough curves and relatively frequent data collection to ensure the accuracy of the moments obtained from the breakthrough data.
For the mixture rich in nitrogen, the higher displacement efficiency is obtained and the breakthrough time of N2 and CO2 can be both shortened.
Solutions have been obtained relating the breakthrough curve to bed parameters for the case of adsorption in fixed beds where the adsorption isotherm is of the non-linear Freundlich type and where the overall rate of adsorption is controlled by the rate of mass transfer across the gas-film surrounding each particle.
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