2022/03/29 by Amir Baghban, Baghban, Amir, Majid Yousefikhoshbakht +1
Chemistry · Engineering · #34C08 #Catalysis and Hydrodesulfurization Studies #Differential Geometry (math.DG) #FOS: Mathematics #Optimization and Control (math.OC) #Petroleum Processing and Analysis #Process Optimization and Integration
paper · pdf · doi:10.48550/arxiv.2203.15295
openalex publication_date 2022/03/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Compared to other transportation modes, road, railroad and vessel, multiproduct pipelines are the safest and most economical way of conveying petroleum products over long distances day and night. During the last two decades, the operational multiproduct pipeline scheduling has gained increasing attention, where most of the contributions are based on continuous time representation. In this paper, we present a new discrete-time mixed integer linear programming model for the shortterm scheduling of multiproduct pipelines featuring multiple refineries and distribution centers. The model optimally determines the sequence and planning of product injections at input nodes, the sequence of product deliveries to output nodes, and traces the size and the products location along the pipeline at any time. The proposed model also allows to execute simultaneous injections at the input nodes and to tackle simultaneous injections and deliveries at an intermediate node that can act as both the input and output node. Solutions to two benchmark example problems illustrate that the proposed model presents significant reductions in the pipeline operational cost.