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Performance Analysis and Four-Objective Optimization of an Irreversible Rectangular Cycle.

Qirui Gong1,2,3, Yanlin Ge1,2,3, Lingen Chen1,2,3

  • 1Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China.

Entropy (Basel, Switzerland)
|September 28, 2021
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Summary
This summary is machine-generated.

This study analyzes irreversible rectangular cycles using finite time thermodynamics, optimizing performance metrics like efficiency and power density. Maximum power density yields smaller cycle size, while maximum effective power offers higher efficiency than maximum power output.

Keywords:
effective powerfinite time thermodynamicsmulti-objective optimizationpower densitypower outputrectangular cyclethermal efficiency

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Area of Science:

  • Thermodynamics
  • Engineering

Background:

  • Established models of irreversible rectangular cycles exist.
  • Finite time thermodynamics provides a framework for analyzing cycle performance under realistic constraints.

Purpose of the Study:

  • To analyze the performance characteristics of an irreversible rectangular cycle using finite time thermodynamics.
  • To optimize thermal efficiency, dimensionless power output, effective power, and power density.
  • To investigate the impact of cycle expansion ratio on performance indicators.

Main Methods:

  • Application of finite time thermodynamics theory.
  • Optimization using the nondominated sorting genetic algorithm II (NSGA-II).
  • Consideration of multi-objective optimization combinations (four, three, and two objectives).
  • Selection of optimal results using three decision-making methods.

Main Results:

  • Maximum power density operation results in a smaller cycle size parameter compared to maximum power output.
  • Efficiency at maximum effective power is consistently higher than at maximum power output.
  • The Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) decision-making method yielded the best results for multi-objective optimization of power output, effective power, and power density.

Conclusions:

  • Finite time thermodynamics is effectively applied to irreversible rectangular cycles.
  • Trade-offs exist between efficiency, power density, and cycle size.
  • TOPSIS is a suitable decision-making method for multi-objective optimization in this context.