最大效能功率性能分析和双相热电发电机的多目标优化
Lei Tian1,2,3, 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
这项研究优化了使用有限时间热力学和NSGA-II算法实现最大效能的两级热电发电机. 通过调整换热器面积和热电元件分布来提高性能.
科学领域:
- 热力学是一种热力学.
- 能源转换 能源转换
- 材料科学 材料科学 材料科学
背景情况:
- 双阶段热电发电机 (TEG) 在航空航天,军事,工业和日常应用中至关重要.
- 优化TEG性能对于提高能源采集效率至关重要.
研究的目的:
- 使用有限时间热力学推断二阶段TEG的有效功率表达式.
- 为了优化热交换器面积,热电元件和工作电流的分布,以获得最大的效率功率.
- 使用NSGA-II算法进行多目标优化.
主要方法:
- 应用有限时间热力学来导出高效功率表达式.
- 热交换器面积的优化,热电元件的分布和工作电流.
- 使用NSGA-II算法进行多目标优化,目标是无维输出功率,热效率和无维高效功率.
主要成果:
- 随着热电元件数量的增加,最大有效功率就会下降 (40至100个元件的0.308W至0.2381W).
- 随着更大的换热器面积 (0.0603W到0.3777W为0.03m2到0.09m2),最大有效功率显著增加).
- 多目标优化产生了0.1866 (LINMAP),0.1866 (TOPSIS) 和0.1815 (香农) 的偏差指数.
结论:
- 该研究成功优化了两阶段的TEG,以提高性能.
- 换热器面积和热电元件分布是最大化高效功率的关键参数.
- NSGA-II算法为TEGs的多目标优化提供了一种有效的方法.
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