Global optimization of large-scale MIQCQPs via cluster decomposition: Application to short-term planning of an integrated refinery-petrochemical complex

Integrated refinery-petrochemical facilities are complex systems that require advanced decision-support tools for optimal short-term planning of their operations. The problem can be formulated as a mixed-integer quadratically constrained quadratic program (MIQCQP), in which discrete decisions select...

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Vydáno v:Computers & chemical engineering Ročník 140; s. 106883
Hlavní autoři: Uribe-Rodriguez, Ariel, Castro, Pedro M., Gonzalo, Guillén-Gosálbez, Chachuat, Benoît
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 02.09.2020
Témata:
Global optimization
Petrochemicals
Planning
Process operations
Refinery
Petrochemicals
Process operations
Global optimization
Refinery
Planning
ISSN:0098-1354, 1873-4375
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Shrnutí:Integrated refinery-petrochemical facilities are complex systems that require advanced decision-support tools for optimal short-term planning of their operations. The problem can be formulated as a mixed-integer quadratically constrained quadratic program (MIQCQP), in which discrete decisions select operating modes for the process units, while the entire process network is represented by input-output relationships based on bilinear expressions describing yields and stream properties, pooling equations, fuels blending indices and cost indicators. We develop a novel decomposition-based algorithm for deterministic global optimization that divides the network into small clusters according to their functionality. Inside each cluster, we derive a mixed-integer linear programming (MILP) relaxation based on piecewise McCormick envelopes, dynamically partitioning the variables that belong to the cluster and reducing their domains through optimality-based bound tightening. Results for an industrial case study in Colombia show profit improvements above 10% and significantly reduced optimality gaps compared with the state-of-the-art global optimization solvers BARON and ANTIGONE.
ISSN:0098-1354
1873-4375
DOI:10.1016/j.compchemeng.2020.106883