Journal
APPLIED SOFT COMPUTING
Volume 46, Issue -, Pages 267-283Publisher
ELSEVIER
DOI: 10.1016/j.asoc.2016.05.001
Keywords
Finite time thermodynamics (FTT); Irreversible Brayton cycle; Isothermal heat addition; Evolutionary algorithm; Multi-objective optimization; Decision making methods
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An irreversible regenerative Brayton cycle model considering internal and external irreversibilities is developed in matrix laboratory (MATLAB) simulink environment and thermodynamic optimization based on finite time thermodynamic analysis along with multiple criteria is implemented. Evolutionary algorithms based on second version of non-dominated sorting genetic algorithm (NSGA-II) and multi objective evolutionary algorithm based on decomposition (MOEA/D) are employed to optimize power output and thermal efficiency simultaneously where isobaric-side heat exchanger effectiveness (ELL), isothermal-side effectiveness (sHL), sink-side effectiveness (EL), regenerator-side effectiveness (ER), and working medium temperature (T5) are taken as design variables. The optimal values of aforementioned design variables are investigated. Pareto optimal frontiers between dual objectives are obtained and the final optimal values of power output and thermal efficiency are chosen via LINMAP, fuzzy Bellman-Zadeh, Shannon's entropy and TOPSIS decision making approaches. The obtained results are compared and the best one is preferred. An improvement in thermal efficiency from 18.29% to 21.10% is reported. In addition to this, variations of different input parameters on the power output and thermal efficiency are conferred and presented graphically. With the goal of error investigation, the maximum and average errors for the obtained results are designed at last. (C) 2016 Elsevier B.V. All rights reserved.
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