Novel model reduction techniques for refinery-wide energy optimisation

Applied Energy

Volumn 89, Issue 1, 2012, Pages 117-126

  Gueddar, Taoufiq ^a   Dua, Vivek ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Artificial neural network; MINLP; Model reduction; Refinery wide optimisation

Indexed keywords

NEURAL NETWORKS; OPTIMIZATION; PETROLEUM REFINING;

APPROXIMATE MODEL; ARTIFICIAL NEURAL NETWORK; COMMERCIAL SOFTWARE; COMPUTATIONAL TIME; LARGE AMOUNTS OF DATA; MINLP; MODEL REDUCTION; MODEL REDUCTION TECHNIQUES; MODELLING TOOLS; NON-LINEARITY; OIL-REFINING INDUSTRY; OPTIMAL CONFIGURATIONS; OPTIMISATIONS; PROCESS MODEL; REFINERY PROCESS; REFINING INDUSTRY;

REFINING;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; NONLINEARITY; OIL INDUSTRY; OPTIMIZATION; SOFTWARE;

EID: 80053298740     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2011.05.056     Document Type: Article

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