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对杰弗里混合纳米流体与陀螺微生物进行人工神经网络分析,以优化太阳能热收集器效率
Anup Kumar1, Bhupendra K Sharma2, Bandar Almohsen3
1Department of Mathematics, Birla Institute of Technology and Science Pilani, Rajasthan, India.
Scientific reports
|February 8, 2025
概括
这项研究探讨了太阳能储能使用混合纳米流体与陀螺微生物在有孔的介质对抛物线集器的太阳能储能. 观察到增强的热形状和努塞尔特数,减少生成,突出了高效太阳能应用的潜力.
科学领域:
- 能源科学与工程 能源科学与工程
- 流体动力学和热传递 流体动力学和热传递
- 材料科学 材料科学 材料科学
背景情况:
- 高效的太阳能储能对于可再生能源的整合至关重要.
- 纳米流体为传热应用提供了增强的热性能.
- 陀螺微生物可以提高纳米粒子稳定性和液体混合.
研究的目的:
- 用Jeffrey混合纳米流体与多孔介质中的陀螺微生物来研究太阳能储能.
- 分析热泳和布朗运动对石墨烯和银纳米粒子的影响.
- 为了评估抛物线低谷太阳能收集器的性能.
主要方法:
- 使用质量,动量,能量,度和微生物度的保存原理进行数学建模.
- 用非相似变量将维度控制方程转换为非维度普通微分方程.
- 使用Cash和Carp方法以及使用Levenberg Marquardt算法的人工神经网络进行数值解决.
主要成果:
- 观察到增强的热谱与增加的达西和福克海默参数.
- 努塞尔特数增强,具有更高的德博拉数和延迟时间.
- 减少生成与增加的Deborah数和延迟时间.
结论:
- 混合纳米流体与旋转微生物显示了提高太阳能储能效率的前景.
- 抛物线低谷太阳能集热器受益于研究纳米流体增强的传热特性.
- 这些发现支持太阳能在满足工业和工程能源需求方面的潜力.
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