Optimization of the swing rate of steam generation units using genetic algorithm

Moustafa Elshafei*, Mohamed A. Habib, Iyad Al-Zaharnah, King Fahd, S. Al-Anizi, M. Y. Al-Awwad, M. Hajji

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In many situations boilers are required to quickly respond to sudden and large steam load changes. However, fast firing rate causes transient changes in both the drum-boiler steam pressure and drum level, in addition to the potential of developing of thermal stresses in the walls of steam risers. A genetic algorithm based optimization scheme is presented for maximizing the ability of the boiler to respond to large steam demand while keeping the fluctuations in pressure, steam quality, drum level, and feed rate within acceptable limits. A nonlinear model for an actual boiler is first built and used to demonstrate the performance of the boiler before and after optimization.

Original languageEnglish
Title of host publicationProceedings of the 12th IASTED International Conference on Control and Applications, CA 2010
Pages357-363
Number of pages7
StatePublished - 2010

Publication series

NameProceedings of the 12th IASTED International Conference on Control and Applications, CA 2010

Keywords

  • Co-generation
  • Drum Boiler
  • Genetic algorithm
  • Optimization
  • Steam quality
  • Three-element control

ASJC Scopus subject areas

  • Control and Systems Engineering

Fingerprint

Dive into the research topics of 'Optimization of the swing rate of steam generation units using genetic algorithm'. Together they form a unique fingerprint.

Cite this