Multi-objective thermodynamic optimization of an irreversible regenerative Brayton cycle using evolutionary algorithm and decision making

Multi-objective thermodynamic optimization of an irreversible regenerative Brayton cycle using evolutionary algorithm and decision making

Brayton heat engine model is developed in MATLAB simulink environment and thermodynamic optimization based on finite time thermodynamic analysis along with multiple criteria is implemented. The proposed work investigates optimal values of various decision variables that simultaneously optimize power...

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Bibliographic Details
Main Authors: Rajesh Kumar, S.C. Kaushik, Raj Kumar, Ranjana Hans
Format: Article
Language:English
Published: Elsevier 2016-06-01
Series:Ain Shams Engineering Journal
Subjects:
Finite time thermodynamics (FTT)
Irreversible Brayton cycle
Regenerator
Evolutionary algorithm
Multi-objective optimization
Decision making methods
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447915000994

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