4460 Lecture 9 2011

4460 Lecture 9 2011 - Dr.MarioRichardEden AuburnUniversity...

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  Heat and Power Integration CHEN 4460 – Process Synthesis,  Simulation and Optimization Dr. Mario Richard Eden Department of Chemical Engineering Auburn University Lecture No. 9 – Heat and Power Integration: Targeting November 1, 2011 Contains Material Developed by Dr. Daniel R. Lewin, Technion, Israel
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Lecture 8 – Objectives Compute the pinch temperatures Compute the  Maximum Energy Recovery  (MER)  targets using graphical and/or algebraic methods Given data on the hot and cold streams of a  process, you should be able to:
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Motivating Example What is wrong with this process from an energy viewpoint? C 1 C 2 H 1 H 2 300 K 550 K 520 K 330 K 380 K 300 K 320 K 380 K Adiabatic Reactor Washing Purification Separation To Recovery To Storage To Finishing Impurities No integration  of energy!!!!
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Short Bibliography Early pioneers  Rudd @ Wisconsin (1968)  Hohmann @ USC (1971) Central figure  Linnhoff @ ICI/UMIST (1978) Currently: President, Linnhoff-March Recommended text Seider, Seader and Lewin (2004): Product and Process Design  Principles, 2 ed. Wiley and Sons, NY Linnhoff et al. (1982): A User Guide on Process Integration for  the Efficient Use of Energy, I. Chem. E., London Most comprehensive review: Gundersen,  T.  and  Naess,  L.  (1988):  The  Synthesis  of  Cost  Optimal Heat Exchanger Networks: An Industrial Review of the  State of the Art, Comp. Chem. Eng., 12(6), 503-530
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Capital vs. Energy  1:3 The  design  of  Heat  Exchanger  Networks  ( HENs )  deals  with the following problem:  Given: N H  hot streams, with given heat capacity flowrate, each having  to  be cooled  from supply temperature  T H S  to targets  T H T N C  cold streams, with given heat capacity flowrate, each having  to  be heated  from supply temperature  T C S  to targets  T C T Design: An optimum network of heat exchangers, connecting between the hot  and  cold  streams  and  between  the  streams  and  cold/hot  utilities  (furnace,  hot-oil,  steam,  cooling  water  or  refrigerant,  depending  on  the required duty temperature)
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Capital vs. Energy  2:3 Optimality   Implies  a  trade-off  between  CAPITAL  COSTS  (cost  of  equipment) and  ENERGY COSTS  (cost of utilities).    Network for minimal  energy cost ?
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4460 Lecture 9 2011 - Dr.MarioRichardEden AuburnUniversity...

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