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Global Optimization of Heat Exchanger Networks with Fixed Configuration for Multiperiod Design

  • Ramaswamy R. Iyer
  • Ignacio E. Grossmann
Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 9)

Abstract

The algorithm for global optimization of heat exchanger networks by Quesada and Grossmann [17] has been extended to multiperiod operation for fixed configuration. Under the assumptions of linear cost function, arithmetic mean driving force and isothermal mixing, the multiperiod problem is an NLP with linear constraints and a nondifferentiable, nonconvex objective function involving linear fractional terms. A modified partitioning rule is used and global optimization properties are retained. Exploiting the fact that an exact approximation is not required for exchangers in non-bottleneck periods leads to a reduction in number of partitions required to reach the global optimum.

Keywords

Calculated Area Incumbent Solution Cold Stream Heat Exchanger Network Linear Cost Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 1996

Authors and Affiliations

  • Ramaswamy R. Iyer
    • 1
  • Ignacio E. Grossmann
    • 1
  1. 1.Department of Chemical EngineeringCarnegie Mellon UniversityPittsburghUSA

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