TY - CHAP
T1 - Multi-Period Continuous-Time Formulation for Integrated Scheduling, Blending, and Distribution of Refinery Products
AU - Li, Jie
AU - Karimi, I A
AU - Srinivasan, Rajagopalan
A2 - Rita Maria de Brito Alves, Caludio Augusto Oller do Nascimento
A2 - Biscaia, Evaristo Chalbaud
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Gasoline
KW - recipe
KW - blending and distribution
KW - non-convex mixed-integer nonlinear programming (MINLP)
KW - property index
U2 - 10.1016/S1570-7946(09)70651-0
DO - 10.1016/S1570-7946(09)70651-0
M3 - Chapter
VL - 27
T3 - Computer Aided Chemical Engineering
SP - 1563
EP - 1568
BT - 10th International Symposium on Process Systems Engineering: Part A
PB - Elsevier BV
ER -