Multiperiod model for the optimal production planning in the industrial gases sector. (15th November 2017)

• Record Type: Journal Article
• Authors: Fernández, David; Pozo, Carlos; Folgado, Rubén; Guillén-Gosálbez, Gonzalo; Jiménez, Laureano
• Is Part Of: Applied energy. Volume 206(2017)
• Page Start: 667
• Page End: 682
• Publication Date: 2017-11-15
• Subjects: Energy-intensive process -- Multiperiod model -- Optimization -- Production scheduling -- Cryogenic air separation; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2017.08.064
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: A multiperiod model for the optimal scheduling of an industrial plant is proposed. The model relies on maximizing profit by minimizing energy consumption. Real variability in electricity prices from spot and future markets is considered. Model capabilities are demonstrated on existing cryogenic air separation process. This approach provides non-intuitive alternatives allowing energy savings. 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.