AIChE Symposium Series, Volume 91, Issue 309American Institute of Chemical Engineers, 1972 - Chemical engineering |
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Page 22
... simulation and observed data . The sum of errors squared decreased when the node number was increased from three to five , but no significant improvement was found beyond five nodes . After judging the diminished return between the ...
... simulation and observed data . The sum of errors squared decreased when the node number was increased from three to five , but no significant improvement was found beyond five nodes . After judging the diminished return between the ...
Page 23
... simulation program is to provide an understanding of the reaction situation inside the sorbent pellet without any costly instruments . The simulation program can also provide guidelines for sorbent improvement . In the following , the ...
... simulation program is to provide an understanding of the reaction situation inside the sorbent pellet without any costly instruments . The simulation program can also provide guidelines for sorbent improvement . In the following , the ...
Page 30
... simulated NO simulated NOx SORBENT B simulated SO2 米 simulated NO simulated NOx 50 100 150 200 250 Time , min Figure 8. Sorbent Comparison 30g POC - 40 sorbent @ 120C fixed - bed adsorption 5 slpm ( 2400ppmSO2 + 950ppmNOx + 2 % O2 + 8 ...
... simulated NO simulated NOx SORBENT B simulated SO2 米 simulated NO simulated NOx 50 100 150 200 250 Time , min Figure 8. Sorbent Comparison 30g POC - 40 sorbent @ 120C fixed - bed adsorption 5 slpm ( 2400ppmSO2 + 950ppmNOx + 2 % O2 + 8 ...
Contents
Foreword | 1 |
NOXSO SO₂NO Flue Gas Treatment Process Adsorption Chemistry and Kinetics | 18 |
Sulphation and Regeneration of SolGel Derived Regenerative Sorbents | 32 |
Copyright | |
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Common terms and phrases
activated carbons adsorbed adsorption adsorptive capacities alkyl alumina Aluminosiliceous amine amino-functional anisole bed volumes benzoic acid bulk density catalytic cations Chem Chemical chitosan chlorobenzene CO₂ copolymers copolymers functionalized copper oxide copper oxide sorbents CuO loading CVOC cycle dealuminated decrease dual-function efficiently remove fixed-bed flow rate flue gas desulfurization g/cm³ H₂O Haslbeck increases interactions kinetic m²/g materials MCM-41 type methane methanol micropores ml/min molecules Na₂O nitrogen NO₂ NOXSO process parameters penicillin phenol phenoxyacetate pickup polymeric polymeric resins polymers pore volume porosity precursor presorbed pressure process streams properties reactor regeneration curve resin S-VBC samples selectively and efficiently showed shown in Figure Siliceous simulation SO₂ sorption sodium sol-gel sol-gel derived solvent sorbent sorption sorption capacity storage inhibitors sulfur supported copper oxide surface area synthesized Table TCE sorption templating tertiary thermal TR/CA tyrosinase waste minimization XUS resin y-alumina supported zeolites
References to this book
Nanoporous Materials: Science and Engineering G. Q. Lu,George Xiu Song Zhao No preview available - 2004 |