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Soft computing systems applied to PWR's xenon

by: Roberto P. Domingos, Roberto Schirru, and Aquilino Senra Martinez

In: Progress in Nuclear Energy, Vol. 46, Nr. 3-4 (2005) , p. 297--308.

Abstract

The present work intends to introduce a soft computing technique as an effective and robust tool available to deal with nuclear engineering problems. This goal is reached by the presentation of an application: a genetic programming system GP able to automatically design a controller for the axial xenon oscillations in a pressurised water reactors PWRs. The axial xenon oscillations control methodology is based on three axial offsets: the xenon axial offset AOx, the iodine axial offset AOi and the neutron flux axial offset AOf, effectively used in former work. Simulations were made using a two-point xenon oscillation model which employs the non-linear xenon and iodine balance equations and the one group, one-dimensional neutron diffusion equation, with non-linear power reactivity feedback, also proposed in the literature. Obtained results showed the ability of the GP in finding a strategy which can effectively control the axial xenon oscillations.

BibTeX record

@article{Domingos:2005:PNE,
  abstract = {The present work intends to introduce a soft computing
                 technique as an effective and robust tool available to
                 deal with nuclear engineering problems. This goal is
                 reached by the presentation of an application: a
                 genetic programming system (GP) able to automatically
                 design a controller for the axial xenon oscillations in
                 a pressurised water reactors (PWRs). The axial xenon
                 oscillations control methodology is based on three
                 axial offsets: the xenon axial offset (AOx), the iodine
                 axial offset (AOi) and the neutron flux axial offset
                 (AOf), effectively used in former work. Simulations
                 were made using a two-point xenon oscillation model
                 which employs the non-linear xenon and iodine balance
                 equations and the one group, one-dimensional neutron
                 diffusion equation, with non-linear power reactivity
                 feedback, also proposed in the literature. Obtained
                 results showed the ability of the GP in finding a
                 strategy which can effectively control the axial xenon
                 oscillations.},
  added-at = {2008-06-19T17:35:00.000+0200},
  author = {Domingos, Roberto P. and Schirru, Roberto and Martinez, Aquilino Senra},
  biburl = {http://www.bibsonomy.org/bibtex/2cacf515b74d728e976a7e5e2f4e05565/brazovayeye},
  doi = {doi:10.1016/j.pnucene.2005.03.011},
  interhash = {99bf2ca6c0abdd71ff30cf5562c2b010},
  intrahash = {cacf515b74d728e976a7e5e2f4e05565},
  journal = {Progress in Nuclear Energy},
  keywords = {algorithms, computation, control, evolutionary genetic oscillation programming, xenon},
  number = {3-4},
  pages = {297--308},
  timestamp = {2008-06-19T17:35:00.000+0200},
  title = {Soft computing systems applied to {PWR}'s xenon},
  volume = 46,
  year = 2005
}

Endnote record

%0 Journal Article
%1 Domingos:2005:PNE
%A Domingos, Roberto P.
%A Schirru, Roberto
%A Martinez, Aquilino Senra
%D 2005
%J Progress in Nuclear Energy
%K 
%N 3-4
%P 297--308
%T Soft computing systems applied to {PWR}'s xenon
%R doi:10.1016/j.pnucene.2005.03.011
%V 46
%X The present work intends to introduce a soft computing
                 technique as an effective and robust tool available to
                 deal with nuclear engineering problems. This goal is
                 reached by the presentation of an application: a
                 genetic programming system (GP) able to automatically
                 design a controller for the axial xenon oscillations in
                 a pressurised water reactors (PWRs). The axial xenon
                 oscillations control methodology is based on three
                 axial offsets: the xenon axial offset (AOx), the iodine
                 axial offset (AOi) and the neutron flux axial offset
                 (AOf), effectively used in former work. Simulations
                 were made using a two-point xenon oscillation model
                 which employs the non-linear xenon and iodine balance
                 equations and the one group, one-dimensional neutron
                 diffusion equation, with non-linear power reactivity
                 feedback, also proposed in the literature. Obtained
                 results showed the ability of the GP in finding a
                 strategy which can effectively control the axial xenon
                 oscillations.