An Efficient Global Optimization Algorithm for Heated Oil Pipeline Problems

doi:10.1021/acs.iecr.0c00039

CSpace

	An Efficient Global Optimization Algorithm for Heated Oil Pipeline Problems
	Yang, Muming 1,2; Huang, Yakui 3; Dai, Yu-Hong 1,2; Li, Bo 4
	2020-04-08
发表期刊	INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
ISSN	0888-5885
卷号	59 期号:14 页码:6638-6649
摘要	It is a crucial problem how to heat oil and save running costs for crude oil transport. This paper strictly formulates a steady-state heated oil pipeline operation problem as an explicit mixed integer nonlinear program, including consideration of two different kinds of pumps and a general hydraulic friction formulation. Different from research utilizing meta-heuristic type methods, this work presents a specifically designed branch-and-bound method called HOPBB which obtains the global optimum of the model. To achieve this, nonconvex and convex continuous relaxations of the model are proposed, which are proven to be equivalent under some suitable conditions. Meanwhile, we provide a preprocessing procedure to guarantee these conditions and introduce an outer approximation method with the warm start strategy to make the algorithm more efficient. The case study on the operation of the Q-T pipeline in China shows that our algorithm achieves a better scheme and can save 6.83% running cost compared with the practical scheme. Discussion on the effect of increasing transport temperature further gives an improvement direction which may save over 8% total operation cost. Comparisons with several commercial and open source MINLP solvers illustrate the superiority of the efficiency of the proposed HOPBB method.
DOI	10.1021/acs.iecr.0c00039
收录类别	SCI
语种	英语
资助项目	Chinese Natural Science Foundation[11631013] ; Chinese Natural Science Foundation[11701137] ; Chinese Natural Science Foundation[11991020] ; Chinese Natural Science Foundation[11991021] ; Major Project to Promote Development of Big Data from National Development and Reform Commission[2016-999999-65-01-000696-01]
WOS研究方向	Engineering
WOS类目	Engineering, Chemical
WOS记录号	WOS:000526422700027
出版者	AMER CHEMICAL SOC
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/51116
专题	中国科学院数学与系统科学研究院
通讯作者	Dai, Yu-Hong
作者单位	1.Chinese Acad Sci, Acad Math & Syst Sci, ICMSEC, LSEC, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Math Sci, Beijing 100049, Peoples R China 3.Hebei Univ Technol, Inst Math, Tianjin 300401, Peoples R China 4.PetroChina Pipeline R&D Ctr, CNPC Key Lab Oil & Gas Storage & Transportat, Langfang 065000, Peoples R China
推荐引用方式 GB/T 7714	Yang, Muming,Huang, Yakui,Dai, Yu-Hong,et al. An Efficient Global Optimization Algorithm for Heated Oil Pipeline Problems[J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH,2020,59(14):6638-6649.
APA	Yang, Muming,Huang, Yakui,Dai, Yu-Hong,&Li, Bo.(2020).An Efficient Global Optimization Algorithm for Heated Oil Pipeline Problems.INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH,59(14),6638-6649.
MLA	Yang, Muming,et al."An Efficient Global Optimization Algorithm for Heated Oil Pipeline Problems".INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 59.14(2020):6638-6649.