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.
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© 1996 Springer Science+Business Media Dordrecht
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Iyer, R.R., Grossmann, I.E. (1996). Global Optimization of Heat Exchanger Networks with Fixed Configuration for Multiperiod Design. In: Grossmann, I.E. (eds) Global Optimization in Engineering Design. Nonconvex Optimization and Its Applications, vol 9. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-5331-8_9
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DOI: https://doi.org/10.1007/978-1-4757-5331-8_9
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