混合优化算法,以提高反流和管热交换器的性能和安全性
Ajmeera Kiran1, Ch Nagaraju2, J Chinna Babu2
1Department of Computer Science and Engineering, MLR Institute of Technology, Hyderabad, Telangana, India.
PloS one
|March 25, 2024
概括
这项研究优化了外和管热交换器 (STHE) 用混合方法回收热量. 优化的设计显著提高了换热器的性能和效率.
科学领域:
- 热力学和热转移热力学
- 优化技术 优化技术
- 机械工程 机械工程
背景情况:
- 和管热交换器 (STHE) 对于工业热回收至关重要.
- 优化STHE性能对于提高能源效率和降低成本至关重要.
- 现有的优化方法可能无法完全捕捉复杂的操作动态.
研究的目的:
- 开发和验证用于STHE性能的混合优化方法.
- 确定影响STHE效率的关键操作参数.
- 通过优化STHE设计来增强热回收应用.
主要方法:
- 一种混合优化方法,结合了神经拟合工具 (NFTool),粒子群优化 (PSO) 和灰色关系分析 (GRE).
- 使用Taguchi方法进行系统分析,以确定关键参数.
- 计算灰色关系等级 (GRGs) 以澄清参数效率关系.
- 使用NFTool预测灰色关系系数,并通过PSO优化参数.
主要成果:
- 混合优化算法有效地预测并改善了STHE的性能.
- 优化的参数导致了更高的灰系数,表明效率提高.
- 通过详细的比较,与实验结果对估计值的准确性进行了验证.
- 反流和管道策略在性能优化方面表现出有效性.
结论:
- 建议的混合优化方法对于提高STHE性能是有效的.
- 这种方法为优化热回收系统提供了一个强大的框架.
- 该研究提供了对影响STHE效率的参数复杂相互作用的宝贵见解.
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