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Optimized Piston Motion for an Alpha-Type Stirling Engine.

Robin Masser1, Abdellah Khodja1, Mathias Scheunert1

  • 1Institut für Physik, Technische Universität Chemnitz, 09107 Chemnitz, Germany.

Entropy (Basel, Switzerland)
|December 8, 2020
PubMed
Summary
This summary is machine-generated.

Optimizing Stirling engine piston motion with smooth movements can improve power output by 50%. This study considers dissipative processes and endoreversible thermodynamics for waste heat recovery systems.

Keywords:
efficiencyendoreversible thermodynamicsirreversibilityoptimizationpiston motion optimizationpowerstirling engine

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Area of Science:

  • Thermodynamics
  • Mechanical Engineering
  • Energy Recovery

Background:

  • Stirling engines are key for waste heat recovery.
  • Optimizing piston motion is crucial for maximizing power output.
  • Dissipative processes and non-equilibrium transfer impact engine performance.

Purpose of the Study:

  • Investigate performance improvements in Stirling engines considering dissipative processes.
  • Explore optimized piston motion within a restricted, smooth, and parametrized class.
  • Analyze the impact of individual loss mechanisms on optimized motion.

Main Methods:

  • Utilized endoreversible thermodynamics for engine modeling.
  • Incorporated non-equilibrium heat and mass transfer.
  • Modeled the regenerator as ideal and included piston friction.
  • Investigated a parametrized class of smooth piston motions.

Main Results:

  • Optimized piston motion within the restricted class yields significant power gains.
  • Achieved an average power gain of approximately 50%.
  • Detailed analysis of individual loss mechanisms' impact on optimized motion was performed.

Conclusions:

  • Smooth, parametrized piston motion optimization is a viable strategy for enhancing Stirling engine efficiency.
  • The theoretical framework effectively models dissipative effects for performance optimization.
  • Waste heat recovery systems can benefit from these optimized Stirling engine designs.