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Research Updates. Seon Kim Laboratory of Product and Process Design University of Illinois at Chicago June 30 th , 2010. Spring Semester plan report. Paper 4: Rigorous Separation Design: Part II – Exhaustive / Comprehensive Network Design (100%) ESCAPE Papers and conference (100%)
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Research Updates Seon Kim Laboratory of Product and Process Design University of Illinois at Chicago June 30th , 2010
Spring Semester plan report • Paper 4: Rigorous Separation Design: Part II – Exhaustive / Comprehensive Network Design (100%) • ESCAPE Papers and conference (100%) • Robust Thermodynamically-guided Algorithms for Synthesis of Energy Efficient Separation Networks • Fully Automatic Energy Efficient complex Network Optimization (40%) • Tested GA solver separately (DELPHI) • Tested LPPD Newton method from solver.v5 (MATLAB, C++) • Tested Interval Newton method (MATLAB, C++) • Tested Odeint, Dassl integration (C++) • Tested optimization with Parametric Interpolation (MATLAB) • Optimization with GA and NLP solver • Consolidate each computation algorithm with main flowsheet base • Biofuel separation literature research (30%) • REU/RET Activity (on-going) / Webpage maintenance (on-going)
Summer semester plan • Fully Automatic Energy Efficient complex Network Optimization (40%) • Optimization with GA and NLP solver • Consolidate each computation algorithm with main flowsheet base • Biofuel separation literature research and design of process (30%) • Extractive conventional distillation column • Thermally coupled extractive distillation column • Petlyuk extractive column • Carbon capture literature research and design of process
DASSL(Differential Algebraic System SoLver) • The derivatives are approximated by backward dierentiation formulae (BDFs), and the resulting nonlinear system at each time-step is solved by Newton's method • Good for stiff ODE and DAE with moderate step size • DDASSL(Double precision DASSL) DAE BDF Newton Method
CASE 1_Simple ODE • Analytical solution • Solution at t=10
CASE 2_Simple DAE (semi-explicit) • Analytical solution • Solution at t=10
CASE 3_Simple IDE (Fully implicit) • Solution at t=10
Integration 2 • Case study with constant volatility system (semi-explicit DAE) • XΔ=(0.95, 0.049, 0.001) • =(6.35, 2.47, 1) • RΔ=3
Future work • Continuous composition profiles with bubble point temperature T activity coefficient =1 : ideal mixture for ideal mixture for non-ideal mixture
Biofuel separation process • Conventional extractive column (2nd column) • Feed (ethanol / water) • Entrainer (ethylene glycol) W/ entrainer W/O entrainer
Biofuel separation process • Thermally coupled extractive column (2nd column)
Biofuel separation process Water-Ethanol mixture • Azeotrope at the point of 88% mole of ethanol • Not possible to obtain purer component without entrainer • Azotropic Distillation • Pure ethanol on the bottom making ternary azeotrope which has lower T than any binary azeotrpes • Extractive Distillation • Pure ethanol on the top adding exclusively familiar with component to obtain • Pressure change