Imperial College London

DrBenoitChachuat

Faculty of EngineeringDepartment of Chemical Engineering

Reader in Process Systems Engineering
 
 
 
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Contact

 

b.chachuat Website

 
 
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Location

 

609Roderic Hill BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Uribe-Rodriguez:2020:10.1016/j.compchemeng.2020.106883,
author = {Uribe-Rodriguez, A and Castro, PM and Gonzalo, GG and Chachuat, B},
doi = {10.1016/j.compchemeng.2020.106883},
journal = {Computers and Chemical Engineering},
title = {Global optimization of large-scale MIQCQPs via cluster decomposition: Application to short-term planning of an integrated refinery-petrochemical complex},
url = {http://dx.doi.org/10.1016/j.compchemeng.2020.106883},
volume = {140},
year = {2020}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - © 2020 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.
AU - Uribe-Rodriguez,A
AU - Castro,PM
AU - Gonzalo,GG
AU - Chachuat,B
DO - 10.1016/j.compchemeng.2020.106883
PY - 2020///
SN - 0098-1354
TI - Global optimization of large-scale MIQCQPs via cluster decomposition: Application to short-term planning of an integrated refinery-petrochemical complex
T2 - Computers and Chemical Engineering
UR - http://dx.doi.org/10.1016/j.compchemeng.2020.106883
VL - 140
ER -