Multiperiod model for the optimal production planning in the industrial gases sector
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Date
2017-11-15
Publication Type
Journal Article
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Abstract
Cryogenic air separation to produce nitrogen, oxygen and argon with high quality requirements is an energy-intensive industrial process that requires large quantities of electricity. The complexity in operating these networks stems from the volatile conditions, namely electricity prices and products demands, which vary every hour, creating a clear need for computer-aided tools to attain economic and energy savings. In this article, we present a multiperiod mixed-integer linear programming (MILP) model to determine the optimal production schedule of an industrial cryogenic air separation process so as to maximize the net profit by minimizing energy consumption (which is the main contributor to the operating costs). The capabilities of the model are demonstrated by means of its application to an existing industrial process, where significant improvements are attained through the implementation of the MILP.
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published
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Journal / series
Volume
206
Pages / Article No.
667 - 682
Publisher
Elsevier
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Subject
Energy-intensive process; Multiperiod model; Optimization; Production scheduling; Cryogenic air separation
Organisational unit
09655 - Guillén Gosálbez, Gonzalo / Guillén Gosálbez, Gonzalo