一个不可逆转的斯特林热发动机的四个目标优化与线性现象热传递定律
Haoran Xu1,2,3, Lingen Chen1,2,3, Yanlin Ge1,2,3
1Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China.
Entropy (Basel, Switzerland)
|July 8, 2023
概括
这项研究使用组合理论优化了不可逆转的斯特林热发动机,发现多目标优化优越. 先进的决策策略可以提高发动机的性能和效率.
科学领域:
- 热力学是一种热力学.
- 机械工程 机械工程
- 热传递热量转移的方法
背景情况:
- 不可逆转的斯特林热发动机遭受机械损失,热泄漏,热电阻和再生损失.
- 优化这些引擎需要同时平衡多个性能目标.
研究的目的:
- 在不可逆转的斯特林热发动机周期上进行多目标优化.
- 评估不同决策策略在实现最佳绩效方面的有效性.
主要方法:
- 结合了机械效率理论和有限时间热力学理论.
- 使用NSGA-II算法进行多目标优化.
- 在决策过程中应用了TOPSIS,LINMAP和香农透.
主要成果:
- 使用TOPSIS和LINMAP的多目标优化产生了0.1683.3的偏差指数 (D).
- 这种多目标结果优于单个目标优化.
- 香农透策略的效果不如TOPSIS和LINMAP的效果.
结论:
- 多目标优化为不可逆转的斯特林热发动机提供了卓越的结果.
- 决策策略的选择显著影响了优化结果.
- 托普西斯和林马普是这种热力学优化的有效策略.
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