BLEND SCHEDULING OPTIMIZATION USING FACTORS FOR QUALITIES IN CASCADED DISTILLATION TOWERS IN CRUDE-OIL REFINERIES

BLEND SCHEDULING OPTIMIZATION USING FACTORS FOR QUALITIES IN CASCADED DISTILLATION TOWERS IN CRUDE-OIL REFINERIES

FRANZOI, R. E; MENEZES, B. C; KELLY, J. D; GUT, J. A. W

Pôster:

Advances in modeling and solving capabilities in the crude-oil refineryscheduling has recently addressed its optimization more accurately by consideringwider scope, scale and complexities of the refining process network. In this work, wepresent examples of these enhancements such as a) a decomposition strategy to enablethe optimization of large scale problems; b) a linearization procedure to includenonlinear quality information for blending of streams in an mixed-integer linearprogramming (MILP) model; and c) multiple distillation units in the form of cascadedtowers. We highlight a case optimized in less than 6 minutes whereby the use of thelinearization strategy for the nonlinear blending resulted in both an improvement of2.82% in the objective function and in a reduced gap of the decomposed solutions.

Advances in modeling and solving capabilities in the crude-oil refineryscheduling has recently addressed its optimization more accurately by consideringwider scope, scale and complexities of the refining process network. In this work, wepresent examples of these enhancements such as a) a decomposition strategy to enablethe optimization of large scale problems; b) a linearization procedure to includenonlinear quality information for blending of streams in an mixed-integer linearprogramming (MILP) model; and c) multiple distillation units in the form of cascadedtowers. We highlight a case optimized in less than 6 minutes whereby the use of thelinearization strategy for the nonlinear blending resulted in both an improvement of2.82% in the objective function and in a reduced gap of the decomposed solutions.

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DOI: 10.5151/cobeq2018-PT.0327

Referências bibliográficas

• [1] KELLY, J. D. The Unit-Operation-Stock Superstructure (UOSS) and the Quantity-LogicQuality Paradigm (QLQP) for Production Scheduling in the Process Industries. In Multidisciplinary International Scheduling Conference Proceedings, New York, United States, v. 327, 2005. KELLY, J. D.; MENEZES, B. C.; GROSSMANN, I. E.; ENGINEER, F. Crude-oil Blend Scheduling Optimization of an Industrial-Sized Refinery: a Discrete-Time Benchmark. In Foundations of Computer Aided Process Operations, Tucson, United States, 2017a KELLY, J. D.; MENEZES, B. C.; GROSSMANN, I. E. LP Reformulation to Approximate Non-Convex Blending in MILP Scheduling using Factors, AICHE Annual Meeting, Minneapolis, United States, 2017b. MENEZES, B. C.; KELLY, J. D.; GROSSMANN, I. E. Phenomenological decomposition heuristic for process design synthesis of oil-refinery Units. Computer Aided Chemical Engineering, v. 37, p. 1877-1882, 2015. MOURET, S., GROSSMANN, I. E., PESTIAUX, P. A Novel Priority-Slot Based ContinuousTime Formulation for Crude-Oil Scheduling Problems. Industrial & Engineering Chemistry Research, v. 48, n. 18, p. 8515-8528, 2009. ZYNGIER, D.; KELLY, J. D. UOPSS: A New Paradigm for Modeling Production Planning and Scheduling Systems. In European Symposium in Computer Aided Process Engineering, London, United Kingdom, 2012.

Como citar:

FRANZOI, R. E; MENEZES, B. C; KELLY, J. D; GUT, J. A. W; "BLEND SCHEDULING OPTIMIZATION USING FACTORS FOR QUALITIES IN CASCADED DISTILLATION TOWERS IN CRUDE-OIL REFINERIES", p-1233-1236. In: . São Paulo: Blucher, 2018.
ISSN 23591757, DOI 10.5151/cobeq2018-PT.0327