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Fuzzy Logic
Genetic Algorithm
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Intelligent management and control of fuel gas network
Intelligent management and control of fuel gas network,10.1109/IECON.2002.1182860,Clinical Gastroenterology and Hepatology,A. De Carli,S. Falzini,Raff
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Intelligent management and control of fuel gas network
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A. De Carli
,
S. Falzini
,
Raffaele Liberatore
,
Domenico Tomei
The design procedure of an advanced controller for the fuel gas network of a refinery is illustrated. Its purpose is to improve the performance of the heat generators using fuel gas and fuel oil as combustible and to reduce the operation that reduce the refinery efficiency.
Soft computing
approaches are widely used to attain the desired results.
Fuzzy logic
and genetic algorithms allow attaining the desired results. A
simulation model
of the fuel gas network functionality allows to design and to validate the advanced controller functionality. Dedicated simulation test focused the obtained advantages in the management of the refinery process.
Journal:
Clinical Gastroenterology and Hepatology - CLIN GASTROENTEROL HEPATOL
, 2002
DOI:
10.1109/IECON.2002.1182860
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