一个单一的共振能量选择性电子冰箱的四个目标优化
Jinhu He1,2,3, 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
这项研究使用多目标优化优化电子冰箱,发现平衡冷却负载,性能和生态功能的设计比单目标方法更好. 为了提高系统性能,确定了最佳的能量边界和共振宽度值.
科学领域:
- 热力学是一种热力学.
- 制冷技术 制冷技术的使用
- 多目标优化 多目标优化
背景情况:
- 已建立的单个共振能量选择性电子制冷器 (ESER) 具有热泄漏的模型存在.
- 有限时间热力学为分析这些系统提供了一个框架.
研究的目的:
- 使用有限时间热力学理论和NSGA-II算法对ESER进行多目标优化.
- 为了确定最佳的操作参数,以提高冰箱的性能.
主要方法:
- 使用NSGA-II算法进行多目标优化.
- 定义了冷却负载 (R ̄),性能系数 (ε),生态功能 (ECO ̄) 和优点数字 (χ ̄) 作为客观函数.
- 采用TOPSIS,LINMAP和香农透法来确定从单个和多目标优化的最佳解决方案.
主要成果:
- 发现能量边界 (E'/kB) 和共振宽度 (ΔE/kB) 显著影响ESER绩效目标.
- 使用LINMAP和TOPSIS实现了0.0812的偏差指数,用于使用LINMAP和TOPSIS的四个目标优化,优于单个目标优化.
- 确定了E'/kB (12-13) 和 ΔE/kB (1.5-2.5) 的最佳范围,用于四个目标的优化.
结论:
- 与单一目标方法相比,多目标优化为设计ESER提供了更全面的方法.
- 适当选择能量边界和共振宽度对于优化ESER性能至关重要.
- 该研究为设计高性能ESER系统提供了最佳参数范围.
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