Data-driven mathematical modeling and global optimization framework for entire petrochemical planning operations

AIChE Journal

Volumn 62, Issue 9, 2016, Pages 3020-3040

  Li, Jie ^a,b,c   Xiao, Xin ^a,e   Boukouvala, Fani ^b,c   Floudas, Christodoulos A ^b,c   Zhao, Baoguo ^d   Du, Guangming ^d   Su, Xin ^d   Liu, Hongwei ^d  

^a INSTITUTE OF PROCESS ENGINEERING   (China)

^b Texas AandM University   (United States)

^c TEXAS A AND M UNIVERSITY   (United States)

^d PetroChina Dushanzi Petrochemical Company   (China)

^e UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Big Data; global optimization; petrochemical; planning; refinery

Indexed keywords

BIG DATA; BLENDING; COMPUTATION THEORY; DISTILLATION; GLOBAL OPTIMIZATION; INTEGER PROGRAMMING; PLANNING; REFINING; USER INTERFACES;

AMERICAN INSTITUTE OF CHEMICAL ENGINEERS; COMPUTATIONAL RESULTS; MIXED-INTEGER NONLINEAR OPTIMIZATION; MULTIPLE-CASE STUDY; OPTIMIZATION FRAMEWORK; PETROCHEMICAL COMPLEX; REFINERY; USER FRIENDLY INTERFACE;

PETROCHEMICALS;

EID: 84990248246     PISSN: 00011541     EISSN: 15475905     Source Type: Journal    
DOI: 10.1002/aic.15220     Document Type: Article

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