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@article{Fernandez:2017:10.1016/j.apenergy.2017.08.064,
author = {Fernandez, D and Pozo, C and Folgado, R and Guillen-Gosalbez, G and Jimenez, L},
doi = {10.1016/j.apenergy.2017.08.064},
journal = {Applied Energy},
pages = {667--682},
title = {Multiperiod model for the optimal production planning in the industrial gases sector},
url = {http://dx.doi.org/10.1016/j.apenergy.2017.08.064},
volume = {206},
year = {2017}
}

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TY  - JOUR
AB  - 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.
AU  - Fernandez,D
AU  - Pozo,C
AU  - Folgado,R
AU  - Guillen-Gosalbez,G
AU  - Jimenez,L
DO  - 10.1016/j.apenergy.2017.08.064
EP  - 682
PY  - 2017///
SN  - 0306-2619
SP  - 667
TI  - Multiperiod model for the optimal production planning in the industrial gases sector
T2  - Applied Energy
UR  - http://dx.doi.org/10.1016/j.apenergy.2017.08.064
VL  - 206
ER  -

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