(169c) Solving MINLP with Heat Exchangers: Special Structure Detection and Large-Scale Global Optimisation
Optimising heat exchangers networks (HEN) may increase efficiency in industrial plants; we develop deterministic global optimisation algorithms for a mixed-integer nonlinear optimisation (MINLP) model that simultaneously incorporates utility cost, equipment area, and hot / cold stream matches [1, 4]. In this work, we automatically recognise and exploit special mathematical structures common in HEN including log mean temperature difference and Chen approximation.
We computationally demonstrate the impact on the global optimisation solver ANTIGONE  and benchmark large-scale test cases against heuristic approaches. We also present, as an alternative, a Pyomo  model which solves the heat exchangers networks problems using iterative refinement and describe tradeoffs between the two techniques.
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