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Data-Driven Mathematical Modeling and Global Optimization Framework for Entire Petrochemical Planning Operations
Li, Jie1,2,3,5; Xiao, Xin1; Boukouvala, Fani2,3; Floudas, Christodoulos A.2,3; Zhao, Baoguo4; Du, Guangming4; Su, Xin4; Liu, Hongwei4
2016-09-01
Source PublicationAICHE JOURNAL
ISSN0001-1541
Volume62Issue:9Pages:3020-3040
Abstract

In this work we develop a novel modeling and global optimization-based planning formulation, which predicts product yields and properties for all of the production units within a highly integrated refinery-petrochemical complex. Distillation is modeled using swing-cut theory, while data-based nonlinear models are developed for other processing units. The parameters of the postulated models are globally optimized based on a large data set of daily production. Property indices in blending units are linearly additive and they are calculated on a weight or volume basis. Binary variables are introduced to denote unit and operation modes selection. The planning model is a large-scale non-convex mixed integer nonlinear optimization model, which is solved to e-global optimality. Computational results for multiple case studies indicate that we achieve a significant profit increase (37-65%) using the proposed data-driven global optimization framework. Finally, a user-friendly interface is presented which enables automated updating of demand, specification, and cost parameters. (C) 2016 American Institute of Chemical Engineers

KeywordRefinery Petrochemical Planning Big-data Global Optimization
SubtypeArticle
WOS HeadingsScience & Technology ; Technology
DOI10.1002/aic.15220
Indexed BySCI
Language英语
WOS KeywordGASOLINE BLENDING OPERATIONS ; RECIPE DETERMINATION ; REFINERY OPERATIONS ; PROJECTION METHODS ; REFINING INDUSTRY ; PROGRAMMING MODEL ; INTEGRATION ; DESIGN ; UNITS ; COORDINATION
WOS Research AreaEngineering
WOS SubjectEngineering, Chemical
Funding OrganizationChinese Academy of Sciences(2010T2G34-2012T1GY11) ; Science Research and Technology Development Program of PetroChina Company Limited(2012D-3202-0313) ; National Science Foundation(CBET-0827907 ; CMMI-08856021)
WOS IDWOS:000382987000007
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ipe.ac.cn/handle/122111/21618
Collection管理及支撑部门
Affiliation1.Chinese Acad Sci, Inst Proc Engn, Beijing 100190, Peoples R China
2.Texas A&M Univ, Artie McFerrin Dept Chem Engn, College Stn, TX 77843 USA
3.Texas A&M Univ, Texas A&M Energy Inst, College Stn, TX 77843 USA
4.PetroChina Dushanzi Petrochem Co, Karamay 833600, Xinjiang, Peoples R China
5.Univ Manchester, Sch Chem Engn & Analyt Sci, Manchester M13 9PL, Lancs, England
Recommended Citation
GB/T 7714
Li, Jie,Xiao, Xin,Boukouvala, Fani,et al. Data-Driven Mathematical Modeling and Global Optimization Framework for Entire Petrochemical Planning Operations[J]. AICHE JOURNAL,2016,62(9):3020-3040.
APA Li, Jie.,Xiao, Xin.,Boukouvala, Fani.,Floudas, Christodoulos A..,Zhao, Baoguo.,...&Liu, Hongwei.(2016).Data-Driven Mathematical Modeling and Global Optimization Framework for Entire Petrochemical Planning Operations.AICHE JOURNAL,62(9),3020-3040.
MLA Li, Jie,et al."Data-Driven Mathematical Modeling and Global Optimization Framework for Entire Petrochemical Planning Operations".AICHE JOURNAL 62.9(2016):3020-3040.
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