Multi-Period Continuous-Time Formulation for Integrated Scheduling, Blending, and Distribution of Refinery Products

Jie Li, I A Karimi, Rajagopalan Srinivasan, Caludio Augusto Oller do Nascimento Rita Maria de Brito Alves (Editor), Evaristo Chalbaud Biscaia (Editor)

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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.
Original languageEnglish
Title of host publication10th International Symposium on Process Systems Engineering: Part A
PublisherElsevier BV
Pages1563-1568
Number of pages6
Volume27
DOIs
Publication statusPublished - 2009

Publication series

NameComputer Aided Chemical Engineering
PublisherElsevier

Keywords

  • Gasoline
  • recipe
  • blending and distribution
  • non-convex mixed-integer nonlinear programming (MINLP)
  • property index

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