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Global optimization of an industrial gas network operation
Author(s) -
Puranik Yash,
Kilinç Mustafa,
Sahinidis Nikolaos V.,
Li Tong,
Gopalakrishnan Ajit,
Besancon Brian,
Roba Thierry
Publication year - 2016
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.15344
Subject(s) - solver , pipeline (software) , pipeline transport , optimization problem , computer science , global optimization , development (topology) , scaling , mathematical optimization , industrial engineering , operations research , biochemical engineering , engineering , environmental engineering , mathematics , mathematical analysis , geometry , programming language
Air Liquide operates several industrial gas pipeline networks around the world, connecting air separation plants to customers of industrial gases. The operation of such a network of plants, pipelines, and customers is complicated due to fluctuating electricity prices and customer demands. We describe a complex industrial problem for real‐time optimization of network operations in the presence of these challenges. We then summarize a concerted modeling and algorithmic effort toward global optimization of this model. The resulting advances include development of a regression‐based fully‐deterministic nonconvex optimization model, a tool for diagnosing infeasibilities during model development, reformulations and scaling to make the model more amenable for optimization, and development of strengthened relaxations for its efficient solution. We provide details on the development of these tools and techniques that facilitated the solution of this model in a reasonable computational time with the global solver BARON. © 2016 American Institute of Chemical Engineers AIChE J , 62: 3215–3224, 2016