Optimal designs of multiple dividing wall columns

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Fernando I. Gomez-Castro and 
                 Mario A. Rodriguez-Angeles and Juan G. Segovia-Hernandez and 
                 Claudia Gutierrez-Antonio and Abel Briones-Ramirez",
  title =        "Optimal designs of multiple dividing wall columns",
  booktitle =    "21st European Symposium on Computer Aided Process
                 Engineering, ESCAPE 21",
  year =         "2011",
  editor =       "E. N. Pistikopoulos and M. C. Georgiadis and 
                 A. C. Kokossis",
  pages =        "176--180",
  publisher =    "Elsevier",
  keywords =     "genetic algorithms, genetic programming",
  annote =       "The Pennsylvania State University CiteSeerX Archives",
  bibsource =    "OAI-PMH server at citeseerx.ist.psu.edu",
  description =  "on genetic programming",
  language =     "en",
  oai =          "oai:CiteSeerX.psu:",
  rights =       "Metadata may be used without restrictions as long as
                 the oai identifier remains attached to it.",
  isbn13 =       "9780444538963",
  URL =          "http://store.elsevier.com/21st-European-Symposium-on-Computer-Aided-Process-Engineering/isbn-9780444538956/",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=",
  URL =          "http://www.segovia-hernandez.com/publicaciones/Escape-21%20%28fernando%29.pdf",
  size =         "5 pages",
  abstract =     "In this work, two schemes are analysed for the
                 reduction on energy consumptions for ternary
                 distillation: a Petlyuk column, PC, and a Petlyuk with
                 postfractionator system, PCP. To perform the optimal
                 design of the analysed systems, the use of
                 multiobjective genetic algorithms has been considered.
                 Moreover, a strategy for diameter calculation is
                 proposed for the dividing wall column, DWC, and double
                 dividing wall column, DDWC, which is based on their
                 distribution of internal flows. Results show that
                 genetic algorithm tool allows obtaining optimal designs
                 for the PC and PCP systems, with low energy
                 consumptions. Furthermore, the design strategy for the
                 DWC and DDWC shows that the physical structure required
                 for one or two dividing walls is quite similar;
                 thereby, it appears to be an adequate method for the
                 sizing of the dividing wall systems.",

Genetic Programming entries for Fernando I Gomez-Castro Mario A Rodriguez-Angeles Juan G Segovia-Hernandez Claudia Gutierrez-Antonio Abel Briones-Ramirez