Advertisement

Refrigerant Design Problem

  • Mohit Tawarmalani
  • Nikolaos V. Sahinidis
Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 65)

Synopsis

The enumeration of large, combinatorial search spaces presents a central conceptual difficulty in molecular design. To address this difficulty, we develop an algorithm which guarantees globally optimal solutions to a mixed-integer nonlinear programming formulation for molecular design. The formulation includes novel structural feasibility constraints while the algorithm provides all feasible solutions to this formulation through the implicit enumeration of a single branch-and-reduce tree. We use this algorithm to provide the complete solution set to the refrigerant design problem posed by Joback & Stephanopoulos (1990) In addition to rediscovering CFCs, the proposed methodology identifies a number of novel potential replacements of Freon 12. All of the identified alternatives are predicted to possess thermodynamic properties that would result in a more efficient refrigeration cycle than obtained via the use of Freon 12.

Keywords

Optimization Formulation Structural Constraint Bond Type Refrigeration Cycle Group Contribution Method 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science+Business Media Dordrecht 2002

Authors and Affiliations

  • Mohit Tawarmalani
    • 1
  • Nikolaos V. Sahinidis
    • 2
  1. 1.Purdue UniversityWest LafayetteUSA
  2. 2.University of IllinoisUrbanaUSA

Personalised recommendations