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Evolutionary synthesis method of energy integrated distillation separation process
Author(s) -
Muraki Masaaki,
Hayakawa Toyohiko
Publication year - 1987
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.5450650209
Subject(s) - separation (statistics) , distillation , sequence (biology) , separation process , process (computing) , energy (signal processing) , evolutionary algorithm , computer science , component (thermodynamics) , process integration , function (biology) , separation method , fractionating column , mathematics , process engineering , artificial intelligence , engineering , chromatography , chemistry , thermodynamics , physics , biology , machine learning , biochemistry , statistics , evolutionary biology , operating system
A two‐stage evolutionary method is developed to synthesize an optimal energy integrated distillation separation process: the search of the separation sequence, and the introduction of energy integration to the given separation sequence. For the former an evolutionary procedure first generating initial separation sequences and then evolving them is developed. For the latter an evolutionary procedure, first indicating the direction of the evolution by the thermodynamic analysis and then estimating it based on the objective function, is developed. An example problem of a five‐component separation demonstrates the effectiveness of this proposed method.