Layer pattern thermal design and optimization for multistream plate-fin heat exchangers-A review
Layer pattern thermal design and optimization for multistream plate-fin heat exchangers-A review
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多流板翅式换热器层型热设计与优化综述
DOI：
10.1016/j.rser.2015.09.003
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发表时间：
2016
影响因子：
15.9
通讯作者：
Li Yanzhong
中科院分区：
文献类型：
--
作者：
Wang Zhe;Li Yanzhong
低温过程包括空气分离和液化。为了减少这些过程中的能量消耗，已经开发了许多可以处理流体传热的紧凑且高效的设备。其中，多流股板翅式换热器是最好的解决方案之一。目前板翅式换热器的研究主要集中在四个方面：传热计算、表面分析、流动阻力和设计优化。优化多股流板翅式换热器的层型设计也是重要的。到目前为止，已经为此目的提出了几种技术;然而，其中大多数是基于定性或试错法。因此，对于多股流板翅式换热器的层型设计，目前还没有普遍接受的方法。本文首先回顾了多股流板翅式换热器的传统设计方法，然后重点介绍了层型设计方法的发展。它强调了三种类型的热设计和评估标准。然后讨论了近年来出现的一些优化层图案设计的建议和新方法。此外，新兴的智能启发式算法优化层图案热设计进行了讨论。除了这些基本的设计方法外，本文还讨论了作者研究组提出的“层环模型”和“双目标函数”优化方法。最后，总结了这一研究领域的现状，并指出了新的发展趋势。
Cryogenic processes involve air separation and liquefaction. To reduce energy consumption in these processes, many compact and efficient equipments that can handle fluid heat transfer have been developed. Of these, a multistream plate-fin heat exchanger is one of the best solutions. Studies of plate-fin heat exchangers are currently focusing on four areas: heat transfer calculation, surface analysis, flow resistance and design optimization. It is also important to optimize the layer patterns design of multistream plate-fin heat exchangers. Several techniques have been proposed for this purpose thus far; however, most of these are based on qualitative or trial-and-error approaches. Therefore, no universally accepted methodology exists designing for the layer pattern of multistream plate-fin heat exchangers. This article starts by reviewing traditional design approaches for multistream plate-fin heat exchangers and then focuses on the development of layer pattern design methods. It highlights three types of thermal design and evaluation criteria. It then discusses some suggestions and new methods for the optimization of the layer pattern design that have emerged in recent years. Further, newly emerging intelligent heuristic algorithms for optimizing the layer pattern thermal design are discussed. In addition to these basic design methodologies, the “layer pattern ring model” and “dual objective function” optimization methods developed by the author’s research team are discussed. Finally, the status of this research area is summarized, and emerging trends are noted.