Scheduling-based method for estimating remaining capacity of oil product pipeline under the fair opening. (April 2022)

• Record Type: Journal Article
• Authors: Huang, Liqiao; Liao, Qi; Tu, Renfu; Liang, Yongtu; Zhang, Haoran
• Is Part Of: Computers & chemical engineering. Volume 160(2022)
• Publication Date: 2022-04
• Subjects: Remaining capacity -- Oil product pipeline -- Pipeline scheduling -- Third-party users; Chemical engineering -- Data processing -- Periodicals; 660.0285
• DOI: 10.1016/j.compchemeng.2022.107726
• Languages: English
• ISSNs: 0098-1354

Abstract

Highlights: Introduce the issue of remaining capacity estimation of oil product pipeline. Propose a scheduling-based remaining capacity estimation method. Explored the law behind the remaining capacity with different factors. Put forward a negotiation model to achieve the optimal capacity allocation. Abstract: The remaining capacity of oil product pipeline network is the most basic information required for third-party service of oil storage and transportation, determining the opening ability of pipeline facilities. This paper fully discusses the remaining capacity of long-distance oil pipelines and develops an estimation model for unidirectional pipelines with single injection combining its characteristics of multi-batch transmission. The model contains different download constraints from the perspective of pipeline companies and third-party users with separate information required by both sides, so that the company is able to allocate the remaining capacity reasonably and the third-party users have access to the consignment information they need. Based on this model, a method is proposed for optimally negotiating with long-term shippers when the remaining capacity cannot meet the demand of third-party users. Data from a real pipeline is used to verify this model, the law of remaining capacity is analyzed, and relevant suggestions for future research are put forward.