煤制油供应链整体优化

1. 中国石油大学(北京)机械与储运工程学院· 城市油气输配技术北京市重点实验室;2. 中油国际管道公司;3. 中国石油管道公司秦皇岛输油气分公司

煤制油;供应链;优化;混合整数线性规划模型;分支定界法

Overall optimization of coal-to-oil supply chain
QIU Rui1, LIANG Yongtu1, DUAN Zhigang2, WANG Kaiqi3, ZHOU Xingyuan1,FENG Yueyue1, ZHANG Haoran1

1. College of Mechanical and Transportation Engineering, China University of Petroleum (Beijing)//Beijing Key Laboratory of Urban Oil and Gas Distribution Technology; 2. Sino-Pipeline International Company Limited; 3. Qinhuangdao Oil & Gas Transportation Sub-Company, PetroChina Pipeline Company

coal-to-oil, supply chain, optimization, mixed integer linear programming model, branch and bound method

DOI: 10.6047/j.issn.1000-8241.2020.04.008

备注

随着人们环保意识与政策要求的不断加强以及对石油需求的不断增加,大力发展煤制油技术对保障中国能源安全、调整优化能源结构具有重要意义。以煤制油炼厂为主体,考虑炼厂建设、采购、生产、运输、销售过程及煤炭产地供应与市场需求等相关约束条件,以煤制油炼厂收益最大为目标函数,建立煤制油供应链的混合整数线性规划优化模型,并采用基于分支定界法的大规模数学规划求解器(Gurobi)进行求解。研究成果成功应用于中国某地区煤制油炼厂,对煤制油供应链的建设具有较强的指导意义,一定程度上降低了资源消耗,提升了供应链收益,实现了整个供应链的高效运作。(图2表4,参[25]

With the continuous enhancement of people’s environmental awareness and policy requirements as well as the increasing demand for oil, vigorously developing coal-to-oil technology is of strategic importance to ensure the energy security, adjust and optimize the energy structure of China. Focusing on the coal-to-oil refinery, considering the construction, procurement, production, transportation and sales process of the refinery, along with the related constraints such as the supply from coal production areas and market demand, the optimal mixed integer linear programming model of the coalto- oil supply chain was established with the maximum profit of the coal-to-oil refinery as the objective function, and was solved by a large-scale mathematical programming solver (Gurobi) based on the branch and bound method. The research achievement has been successfully applied to a coal-to-oil refinery in some region of China, demonstrating its great guiding significance to the construction of the site coal-to-oil supply chain. To a certain extent, it can reduce resource consumption, improve supply chain revenue and realize the efficient operation of the entire supply chain. (2 Figures, 4 Tables, 25 References)

·