Integrated optimization of crude oil procurement planning and blending scheduling for property stabilization

被引:1
作者
Zheng, Wanpeng [1 ]
Gao, Xiaoyong [1 ]
Huang, Fuyu [1 ]
Zuo, Xin [1 ]
Chen, Xiaozheng [1 ]
机构
[1] China Univ Petr, Dept Automat, Beijing 102249, Peoples R China
基金
中国国家自然科学基金; 北京市自然科学基金;
关键词
Crude oil; Procurement planning; Blending scheduling; Integrated optimization; Mixed-Integer Nonlinear Programming (MINLP); CONTINUOUS-TIME FORMULATION; ADAPTED GENETIC ALGORITHM; LINEAR-PROGRAMMING MODEL; SCHEDULABILITY ANALYSIS; REFINERY; OPERATIONS; TRANSPORTATION; UNCERTAINTY; STRATEGY; MIXTURE;
D O I
10.1016/j.compchemeng.2024.108716
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Crude oil procurement and blending are key processes in refinery production. When solving the integrated optimization problem of simple oil procurement and blending, the following issues are mainly considered: how to establish an integrated optimization model of crude oil procurement and blending process under different time scales to minimize the cost of procurement under the premise of ensuring the stability of the properties of blended crude oil. The paper proposes an integrated optimization model, takes cost minimization as the model's objective function, and provides stability through the yield and property constraints of blended crude oil. Then, the paper describes the procurement process by an event-based representation and the blending process by a continuous event representation and proposes a hybrid event-time-based representation to describe the model. Finally, this paper verifies the model's effectiveness in solving real production problems through case simulations.
引用
收藏
页数:18
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共 45 条
  • [1] A MILP-based clustering strategy for integrating the operational management of crude oil supply
    Assis, Leonardo S.
    Camponogara, Eduardo
    Grossmann, Ignacio E.
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 2021, 145
  • [2] An MINLP formulation for integrating the operational management of crude oil supply
    Assis, Leonardo S.
    Camponogara, Eduardo
    Menezes, Brenno C.
    Grossmann, Ignacio E.
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 2019, 123 : 110 - 125
  • [3] A Novel Scheduling Strategy for Crude Oil Blending
    Bai Liang
    Jiang Yongheng
    Huang Dexian
    Liu Xianguang
    [J]. CHINESE JOURNAL OF CHEMICAL ENGINEERING, 2010, 18 (05) : 777 - 786
  • [4] An approximate method for the optimization of long-Horizon tank blending and scheduling operations
    Beach, Benjamin
    Hildebrand, Robert
    Ellis, Kimberly
    Lebreton, Baptiste
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 2020, 141
  • [5] Source-based discrete and continuous-time formulations for the crude oil pooling problem
    Castro, Pedro M.
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 2016, 93 : 382 - 401
  • [6] Global Optimal Scheduling of Crude Oil Blending Operations with RTN Continuous-time and Multiparametric Disaggregation
    Castro, Pedro M.
    Grossmann, Ignacio E.
    [J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2014, 53 (39) : 15127 - 15145
  • [7] Data-driven robust optimization for crude oil blending under uncertainty
    Dai, Xin
    Wang, Xiaoqiang
    He, Renchu
    Du, Wenli
    Zhong, Weimin
    Zhao, Liang
    Qian, Feng
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 2020, 136
  • [8] A robust event-based continuous time formulation for tank transfer scheduling
    Furman, Kevin C.
    Jia, Zhenya
    Ierapetritou, Marianthi G.
    [J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2007, 46 (26) : 9126 - 9136
  • [9] Flexible Scheduling of Crude Oil Inventory Management
    Gupta, Sourabh
    Zhang, Nan
    [J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2010, 49 (03) : 1325 - 1332
  • [10] Refinery scheduling of crude oil unloading with tank inventory management
    Hamisu, Aminu A.
    Kabantiok, Stephen
    Wang, Meihong
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 2013, 55 : 134 - 147