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|Title:||Multi-period continuous-time formulation for integrated scheduling, blending, and distribution of refinery products|
|Authors:||Li, J. |
|Keywords:||Blending and distribution|
Non-convex mixed-integer nonlinear programming (minlp)
|Source:||Li, J.,Karimi, I.A.,Srinivasan, R. (2009). Multi-period continuous-time formulation for integrated scheduling, blending, and distribution of refinery products. Computer Aided Chemical Engineering 27 (C) : 1563-1568. ScholarBank@NUS Repository. https://doi.org/10.1016/S1570-7946(09)70651-0|
|Abstract:||In this paper, we develop a slot-based multi-period mixed integer linear programming (MILP) formulation for an integrated treatment of recipe, specifications, blending, storage, and distribution, and incorporate many real-life features such as multi-purpose product tanks, parallel non-identical blenders, minimum run lengths, changeovers, etc. To enforce constant rates during blending runs, we develop a novel and efficient procedure that solves successive MILPs instead of a non-convex MINLP. We use fourteen examples of varying sizes and features to illustrate the superiority and effectiveness of our formulation and solution approach. © 2009 Elsevier B.V. All rights reserved.|
|Source Title:||Computer Aided Chemical Engineering|
|Appears in Collections:||Staff Publications|
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