An improved algorithm for synthesis of heat exchanger network with a large number of uncertain parameters

Klavdija Zirngast, Zdravko Kravanja and Zorka Novak Pintarič

Energy, 2021, vol. 233, issue C

Abstract: This paper presents an improved method for the Mixed Integer Nonlinear Programming (MINLP) synthesis of flexible Heat Exchanger Network with a large number of uncertain parameters. Typically, such a problem is written as a multi-scenario two-stage stochastic model with recourse which is difficult to solve because the size of the model grows exponentially with the number of uncertain parameters. The exponential growth could be avoided by decomposing the model into simpler problems that are solved sequentially in a small number of scenarios.

Keywords: Uncertainty; Two-stage stochastic optimization with recourse; Decomposition; Monte Carlo; Correction factor; Heat exchanger network (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:233:y:2021:i:c:s036054422101447x

DOI: 10.1016/j.energy.2021.121199

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