Novel Formulation for Optimal Schedule with Demand Side Management in Multiproduct Air Separation Processes
journal contributionposted on 24.01.2019, 00:00 by Shengnan Zhao, M. Paz Ochoa, Lixin Tang, Irene Lotero, Ajit Gopalakrishnan, Ignacio E. Grossmann
In this article, we address the optimal scheduling of continuous air separation processes with electricity purchased from the day-ahead market, for which we propose a generalized framework to represent different operating states. Specifically, a discrete-time mixed-integer linear programming (MILP) model is developed based on this representation for operating states, which has proven to provide a tight LP relaxation for handling industrial-scale instances. The computational efficiency of the model is demonstrated with data from real industrial production. The response of the scheduling and production level is also tested with various interval lengths for the electricity pricing and length of the time horizon.
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handling industrial-scale instancesarticleschedulingLP relaxationMILPdatadiscrete-time mixed-integerresponseair separation processesday-ahead marketelectricity pricingframeworkproduction levelNovel FormulationDemand Side ManagementMultiproduct Air Separation Processestime horizonefficiencyprogramminginterval lengthsrepresentationOptimal Schedulemodel