Article ID Journal Published Year Pages File Type
172548 Computers & Chemical Engineering 2013 14 Pages PDF
Abstract

•Improvement of Lee, Pinto, Grossmann, and Park (1996) model for scheduling crude oil unloading.•Interval–interval variation constraint added to avoid fluctuating CDU charging rate.•Possibility of shutdown within the scheduling cycle considered in the improved model.•Setup penalty for tank-tank transfer included in a case study of industrial size problem.•Some level of flexibility introduced to permit demand violation against infeasible solution.

The aim of this study is to develop a methodology for short-term crude oil unloading, tank inventory management, and crude distillation unit (CDU) charging schedule using mixed integer linear programming (MILP) optimization model as an extension to a previous work reported by Lee et al. (1996). The authors attempt to improve the previous model by adding an interval–interval variation constraint to avoid CDU charging rate fluctuation, a shutdown penalty within the scheduling cycle and a set up penalty for tank-tank transfer and introducing demand violation permit for a more flexible model against obtaining infeasible solution. Three different cases from the original paper were used to test the validity of the improved model. Comparison between Cases 1 and 2 shows the advantage of using smaller time interval as the operating cost of Case 2 is lower. Two scenarios were created from Case 3 to show the benefits of the improved model in deciding the best schedule to use. The improved model was implemented using the CPLEX solver in GAMS.

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Physical Sciences and Engineering Chemical Engineering Chemical Engineering (General)
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