Refinery short-term scheduling with tank farm, inventory and distillation management: An integrated simulation-based approach [An article from: European Journal of Operational Research]
Book Details
PublisherElsevier
ISBN / ASINB000RR668Q
ISBN-13978B000RR6684
AvailabilityAvailable for download now
Sales Rank11,280,557
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Description
This digital document is a journal article from European Journal of Operational Research, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
This work addresses primarily the scheduling of a refinery importing various types of crude oil. The refinery operation discussed in this paper involves the unloading of crude oil to storage tanks, the transfer and blending from storage tanks to charging tanks and crude oil distillation units, and the arrangement of the temperature cut-points for each distillation unit. The paper describes a simulation-based approach to the refinery operation, which is modelled as a pooling problem. The proposed approach uses a random-search formulation, which allows for controlling search depth, breadth and solution quality, as well as computational effort. An implementation of the proposed approach is presented in a real case scenario.
Description:
This work addresses primarily the scheduling of a refinery importing various types of crude oil. The refinery operation discussed in this paper involves the unloading of crude oil to storage tanks, the transfer and blending from storage tanks to charging tanks and crude oil distillation units, and the arrangement of the temperature cut-points for each distillation unit. The paper describes a simulation-based approach to the refinery operation, which is modelled as a pooling problem. The proposed approach uses a random-search formulation, which allows for controlling search depth, breadth and solution quality, as well as computational effort. An implementation of the proposed approach is presented in a real case scenario.
