2014
DOI: 10.1016/j.psep.2013.08.001
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Thermodynamic method for the prediction of solid CO2 formation from multicomponent mixtures

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Cited by 63 publications
(50 citation statements)
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“…Models capable of quantitatively describing the stochastic nature of nucleation in such systems would further enhance the ability of engineers to predict the risk of cryogenic solids formation. Unfortunately the models currently implemented in process simulators used across industry are not able to match experimental SLE data reliably for even simple systems. To improve the thermodynamic models implemented in existing software tools and to develop and validate new models for stochastic nucleation, accurate and relevant measurements of solids formation and melting are required.…”
Section: Introductionmentioning
confidence: 99%
“…Models capable of quantitatively describing the stochastic nature of nucleation in such systems would further enhance the ability of engineers to predict the risk of cryogenic solids formation. Unfortunately the models currently implemented in process simulators used across industry are not able to match experimental SLE data reliably for even simple systems. To improve the thermodynamic models implemented in existing software tools and to develop and validate new models for stochastic nucleation, accurate and relevant measurements of solids formation and melting are required.…”
Section: Introductionmentioning
confidence: 99%
“…For this reason, a reliable model based on thermodynamics (De Guido et al, 2014;Pellegrini et al, 2012a) chemical engineering research and design x x x ( 2 0 1 4 ) xxx-xxx is fundamental to well represent the absorption phenomenon occurring when dealing with PZ scrubbing. In particular, a correct description of properties of the absorbent solution, such as density and viscosity, and diffusivity of CO 2 in the used solvent are essential for modeling Pellegrini et al, 2012bPellegrini et al, , 2014.…”
Section: Introductionmentioning
confidence: 99%
“…Cases with different levels of lignite pre-drying were analyzed. In the following, each simulated case is characterized by a letter (A or B) and by a number (10,20,30), where A and B refer to the specific CT at the topping cycle, as anticipated, while numbers indicate the residual moisture content (wt.%) in the dried lignite. Thus, the size of the IGCC system is determined by assuming that the mass flow rate exiting the CT is to be kept at a determined design value (665 kg/s).…”
Section: Simulations Of Gasification and Power Stationsmentioning
confidence: 99%
“…The commercial simulator ASPEN Plus ® was used as a basis for simulations of the AGR units, because of its capability of being user customized. A reliable model for both thermodynamics and mass transfer with reactions is fundamental for a correct design of the process . As for thermodynamics, vapor–liquid equilibrium is influenced by the chemical reactions occurring in the liquid phase and involving the presence of ionic species.…”
Section: Simulation Environments Assumptions and Considerationsmentioning
confidence: 99%