A new flowsheeting tool for flue gas treating

Abstract A new flowsheeting tool, specifically designed for steady-state simulation of acid gas treating processes, has been developed. The models implemented in the new tool combine all issues relevant for the design, optimization and analysis of acid gas treating processes, including post-combustion and pre-combustion carbon dioxide capture. The computer code consists of an extremely user-friendly graphical user interface and a very powerful numerical simulator that handles rigorous modeling of thermodynamics, activity based kinetics, rate-based mass transfer and supports all unit operations relevant for gas treating plants (absorbers, strippers, flash drums, heaters, pumps, compressors, mixers and splitters, etc.). Although the simulator can be used as a multifunctional steady state flowsheeting program, it has been specifically designed for acid gas treating applications. The program includes an extensive database of thermodynamic parameters, interaction coefficients, kinetics, etc. that has been optimized to accurately predict the vapor liquid equilibriums (VLE), thermodynamic and physical properties and the kinetically enhanced mass transfer (both analytical and rigorous) of amine based capturing processes. The program applies the Electrolyte Equation of State (E-EOS) thermodynamic model, which is expected to better predict the behavior of acid gas treating processes than conventional models often applied, like e.g. Kent-Eisenberg or more complex activity based models like Pitzer, Deshmukh-Mather or ElecNRTL. Alternative thermodynamic models can, however, easily be implemented in the simulator. For the optimal prediction of column performances, the program includes a database of various tray types, as well as a large collection of both dumped and structured packing respectively. Several mass transfer and hydrodynamic models have been implemented that benefit from accurate physical property models (density, viscosity, surface tension, diffusivity, conductivity) specifically selected for acid gas treating applications. The tool is able to describe complete acid gas treating processes, including complex processes with multiple (mixed or hybrid) solvent loops, and is able to significantly improve the understanding of the performance of potential new solvents.

[1]  J. Giddings,et al.  NEW METHOD FOR PREDICTION OF BINARY GAS-PHASE DIFFUSION COEFFICIENTS , 1966 .

[2]  Rakesh Agrawal,et al.  New pressure drop correlation for sieve tray distillation columns , 1983 .

[3]  J. Giddings,et al.  A Comparison of Methods for Predicting Gaseous Diffusion Coefficients , 1965 .

[4]  Edward A. Mason,et al.  Approximate Formula for the Thermal Conductivity of Gas Mixtures , 1958 .

[5]  Amyn S. Teja,et al.  Generalized corresponding states method for the viscosities of liquid mixtures , 1981 .

[6]  Van P. Carey,et al.  The properties of gases & liquids: 4th Edition. Robert C. Reid, John M. Prausnitz, and Bruce E. Poling, McGraw-Hill Book Company, New York, NY, 1987, 741 pages, $49.50. , 1988 .

[7]  Don W. Green,et al.  Perry's Chemical Engineers' Handbook , 2007 .

[8]  Geert Versteeg,et al.  Solubility and diffusivity of acid gases (carbon dioxide, nitrous oxide) in aqueous alkanolamine solutions , 1988 .

[9]  James R. Fair,et al.  Prediction of point efficiencies on sieve trays. 1. Binary systems , 1984 .

[10]  Hiroshi Takeuchi,et al.  MASS TRANSFER COEFFICIENTS BETWEEN GAS AND LIQUID PHASES IN PACKED COLUMNS , 1968 .

[11]  J. Giddings,et al.  Diffusion of halogenated hydrocarbons in helium. The effect of structure on collision cross sections , 1969 .

[12]  E. P. van Elk,et al.  APPLICATION OF THE PENETRATION THEORY FOR GAS-- LIQUID MASS TRANSFER WITHOUT LIQUID BULK Differences with Systems with a Bulk , 2007 .

[13]  R. M. Wellek,et al.  Enhancement factors for gas‐absorption with second‐order irreversible chemical reaction , 1978 .

[14]  P. Rice,et al.  The measurement and prediction of the viscosities of some binary liquid mixtures containing n-hexane , 1981 .

[15]  A. L. Horvath,et al.  Handbook of aqueous electrolyte solutions : physical properties, estimation, and correlation methods , 1985 .

[16]  H. Renon,et al.  Representation of excess properties of electrolyte solutions using a new equation of state , 1993 .

[17]  M. Huron,et al.  New mixing rules in simple equations of state for representing vapour-liquid equilibria of strongly non-ideal mixtures☆ , 1979 .

[18]  John Howard Perry,et al.  Chemical Engineers' Handbook , 1934 .

[19]  F. J. Zuiderweg,et al.  Sieve trays: A view on the state of the art , 1982 .

[20]  James R. Fair,et al.  Generalized correlation for mass transfer in packed distillation columns , 1982 .

[21]  K. E. Starling,et al.  Applications of kinetic gas theories and multiparameter correlation for prediction of dilute gas viscosity and thermal conductivity , 1984 .

[22]  Hans E. Kimmel,et al.  AIChE Spring National Meeting , 2004 .

[23]  C. Wilke,et al.  Correlation of diffusion coefficients in dilute solutions , 1955 .

[24]  H. H. Rachford,et al.  Procedure for Use of Electronic Digital Computers in Calculating Flash Vaporization Hydrocarbon Equilibrium , 1952 .

[25]  K. E. Starling,et al.  Generalized multiparameter correlation for nonpolar and polar fluid transport properties , 1988 .

[26]  Geert Versteeg,et al.  Solubility of carbon dioxide in aqueous piperazine solutions , 2005 .

[27]  B. Breslau,et al.  On the viscosity of concentrated aqueous electrolyte solution , 1970 .

[28]  Ralph H. Weiland,et al.  Density and viscosity of some partially carbonated aqueous alkanolamine solutions and their blends , 1998 .

[29]  Geert Versteeg,et al.  The solubility of carbon dioxide in aqueous N-methyldiethanolamine solutions , 2008 .