Since 1963
ARTICLE
Design and optimization of a gas turbine regenerator with fixed pressure drop using GA and firefly algorithms
1
Department of Mechanical Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran
2
Department of Mechanical Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
3
Department of Biosystems Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
Submission date: 2019-12-09
Final revision date: 2020-03-04
Acceptance date: 2020-03-10
Online publication date: 2020-10-15
Publication date: 2020-10-15
Corresponding author
Journal of Theoretical and Applied Mechanics 2020;58(4):943-952
KEYWORDS
TOPICS
ABSTRACT
The present study investigates eight design parameters such as seal coverage, core porosity,
core volume ratio, core thickness, dimensionless core rotation rate, inner diameter of the
core, air mass flow rate and exhaust mass flow rate to design and optimize a regenerator
of a 20-MW power generation gas turbine with fixed pressure drop. The application of
GA and Firefly algorithms to optimize the effectiveness of the regenerator is presented to
demonstrate the efficiency and accuracy of the proposed algorithms. The effect of change in
the seal coverage, core porosity, core volume ratio and dimensionless core rotation rate are
evaluated as important design parameters having influence on the size and mass of the core
of the regenerator. This could be done through fixing each of these parameters, while the
other seven design parameters are selected as variables to optimize the effectiveness. The
results show that the selection of all eight-design parameters proposed as operating variables
is necessary to optimize the parameters to achieve the proper design of this regenerator.
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| eISSN: | 2543-6309 |
| ISSN: | 1429-2955 |
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