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J. Balchen, K. Mummé (1987)
Process Control: Structures and Applications
R. Perry, D. Green, J. Maloney (2007)
Perry's Chemical Engineers' Handbook
E. Henley, J. Seader (1981)
Equilibrium-Stage Separation Operations in Chemical Engineering
R. Benenati (1973)
Process modeling, simulation and control for chemical engineers, William L. Luyben, McGraw‐Hill, New York, 1973. 558 pp.Journal of Polymer Science: Polymer Letters Edition, 11
Satish Enagandula, J. Riggs (2006)
Distillation control configuration selection based on product variability predictionControl Engineering Practice, 14
M. Diwekar, K. Madhavan, R. Swaney (1989)
Optimization of multicomponent batch distillation columnsIndustrial & Engineering Chemistry Research, 28
P Luyben (1990)
Process Modeling: Simulation and Control for Chemical Engineers
Scott Hurowitz (2003)
Distillation control configuration selectionJournal of Process Control, 13
C. Robinson, E. Gilliland (2007)
The Elements of Fractional DistillationNature, 143
W. Luyben (1992)
Practical Distillation Control
(1971)
Separation Processes (McGraw-Hill
F. Shinskey (1977)
Distillation control: For productivity and energy conservation
R. Treybal (1955)
Mass-Transfer Operations
In this paper, the enthalpy-concentration method was applied in order to model a steady-state continuous methanol–water mixture distillation column. This work includes three steps; first, to develop a code in MATLAB v.7.6 to apply to the mathematical model of the column. The second step is to simulate the column using HYSIS v.3.2. While the third is the calculation of the optimized reflux ratio to minimize the operating cost. For a distillation tower such as the methanol–water splitter in this study, there are relatively few degrees of freedom that can be manipulated in order to minimize operating costs; the reflux ratio can influence the steady-state operating point and therefore the daily costs. In this paper, we have discussed the trade-offs between reflux ratios and operating costs. A correlation is derived to define the optimum value of the reflux ratio as an exponential function of a certain economic parameter of energy prices and depreciation costs. We demonstrate that, at low energy prices or high equipment depreciation costs, the optimum reflux factor is high.
Research on Chemical Intermediates – Springer Journals
Published: May 13, 2012
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