Efficient Power Characteristic Analysis and Multi-Objective Optimization for an Irreversible Simple Closed Gas...

Area of Science:

• Thermodynamics
• Mechanical Engineering
• Energy Systems

Background:

• Established irreversible simple closed gas turbine cycle models provide a basis for performance optimization.
• Finite-time thermodynamics offers advanced methods for improving cycle efficiency.

Purpose of the Study:

• To optimize the performance of an irreversible closed gas turbine cycle using finite-time thermodynamics.
• To derive a dimensionless efficient power expression and analyze influencing factors.
• To perform multi-objective optimization for enhanced cycle performance.

Main Methods:

• Derivation of dimensionless efficient power expression.
• Analysis of internal irreversibility (turbine and compressor efficiencies) and heat reservoir temperature ratio effects.
• Application of the NSGA-II algorithm for multi-objective optimization with five performance indicators.
• Utilizing TOPSIS, LINMAP, and Shannon Entropy decision-making methods.

Main Results:

• Dimensionless efficient power is influenced by heat reservoir temperature ratio and compressor efficiency.
• Optimizing heat-conductance distribution and cycle pressure ratio can achieve double maximum dimensionless efficient power.
• The NSGA-II algorithm yielded Pareto frontiers for optimal solutions.
• Shannon Entropy decision-making method provided the most ideal results with a deviation index of 0.2284.

Conclusions:

• Finite-time thermodynamics provides a robust framework for optimizing irreversible gas turbine cycles.
• Multi-objective optimization is crucial for balancing various performance indicators.
• The Shannon Entropy method is effective for selecting optimal solutions in complex multi-objective scenarios.