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Part of the book series: Nonconvex Optimization and Its Applications ((NOIA,volume 65))

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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.

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© 2002 Springer Science+Business Media Dordrecht

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Tawarmalani, M., Sahinidis, N.V. (2002). Refrigerant Design Problem. In: Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming. Nonconvex Optimization and Its Applications, vol 65. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3532-1_8

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  • DOI: https://doi.org/10.1007/978-1-4757-3532-1_8

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-5235-6

  • Online ISBN: 978-1-4757-3532-1

  • eBook Packages: Springer Book Archive

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