Imperial College London

ProfessorBenoitChachuat

Faculty of EngineeringDepartment of Chemical Engineering

Professor of 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

@inbook{Uribe-Rodriguez:2022:10.1016/B978-0-323-85159-6.50097-X,
author = {Uribe-Rodriguez, A and Castro, PM and Guillén-Gosálbez, G and Chachuat, B},
booktitle = {Computer Aided Chemical Engineering},
doi = {10.1016/B978-0-323-85159-6.50097-X},
pages = {583--588},
title = {Lagrangean Decomposition for Integrated Refinery-Petrochemical Short-term Planning},
url = {http://dx.doi.org/10.1016/B978-0-323-85159-6.50097-X},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - CHAP
AB - We present a methodology for the optimal integration of crude management (CM) and refinery-petrochemical (RP) planning operations. The physical coupling between both CM and RP optimization subproblems is via the flow rate, physical-chemical properties, and composition of the crude blends. For a given economic cost of the crude blends, which either provides a selling price for CM or a purchase price for RP, both subproblems can maximize their profits independently. But failure to integrate these two subproblems can create an imbalance between crude supply and demand. Optimizing CM and RP operations simultaneously entails the solution of large-scale, nonconvex quadratically-constrained quadratic programs (MIQCQPs). We apply a spatial Lagrangean decomposition algorithm to tackle these MIQCQPs and demonstrate it on a full-scale industrial facility. The results show that Lagrangean decomposition can outperform commercial global solvers BARON and ANTIGONE when applied to the monolithic MIQCQP. The Lagrangean decomposition can also reduce the optimality gap faster than with a clustering decomposition algorithm, leading to optimality gaps below 5% within 1 hour of CPU time.
AU - Uribe-Rodriguez,A
AU - Castro,PM
AU - Guillén-Gosálbez,G
AU - Chachuat,B
DO - 10.1016/B978-0-323-85159-6.50097-X
EP - 588
PY - 2022///
SP - 583
TI - Lagrangean Decomposition for Integrated Refinery-Petrochemical Short-term Planning
T1 - Computer Aided Chemical Engineering
UR - http://dx.doi.org/10.1016/B978-0-323-85159-6.50097-X
ER -