水回收用折流板降膜管组换热器的研究

Q1 Engineering
Liang Tang , Xiaoling Cao , Wei Zhong , Long Yu , Linlin Yin
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引用次数: 0

摘要

壳管式热交换器(STHE)是日常生活中广泛使用的重要热设备。一种名为降膜式热交换器(FFTS)的新型热虹吸系统被引入并集成到壳管式热交换器系统中,从而获得更好的热性能。本研究对带有挡板设计的 FFTS 束矩形实心管组进行了研究。对 FFTS 热交换器的传热和传质进行了数值模拟,以预测烟气中蒸汽的冷凝率,并在 COMSOL 中建立了实验室规模的原型。预测结果与参考文献中的实验数据进行了验证,模型的准确性在 10%-12% 的误差范围内。此外,本文还采用了非优势排序遗传算法第二版(NSGA-II)来改善矩形管组的热性能。对挡板数量、管子数量和管子空间等多个参数进行了优化。因此,更倾向于采用具有更多挡板的紧凑型配置,以相应提高与高压降相关的性能。实验室规模原型的优化布局可以在压力损失小于 200 Pa 的情况下提高 18% 至 32% 的冷凝效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Investigation of a falling film tube bank heat exchanger with baffle design for water recovery applications

Investigation of a falling film tube bank heat exchanger with baffle design for water recovery applications

Shell and tube heat exchangers (STHE) are essential thermal equipment and widely used in daily life. A novel thermosyphon system called falling-film thermosyphon (FFTS) is introduced and integrated into STHE system, resulting in a better thermal performance. In this study, a rectangular solid tube bank of FFTS bundles with a baffle design is studied. The numerical simulation for heat and mass transfer of the FFTS heat exchanger is developed to predict the condensation rate of the vapor in the flue gas, and a lab-scale prototype is also built up in COMSOL. The prediction is validated with the experimental data from references, and the model's accuracy is verified within 10%-12% error. Also, the Non-dominated Sorting Genetic Algorithm, version 2 (NSGA-II) is implemented to improve the thermal performance of rectangular tube banks in this paper. Several parameters, e.g., baffle number, tube number, and tube space, are optimized. As a result, compact configurations with more baffles are preferred to enhance the performance associated with a high-pressure drop correspondingly. The optimized layout for the lab-scale prototype can increase by 18 to 32% condensation with a pressure loss of less than 200 Pa.

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来源期刊
Energy and Built Environment
Energy and Built Environment Engineering-Building and Construction
CiteScore
15.90
自引率
0.00%
发文量
104
审稿时长
49 days
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