Suppr超能文献

通过改进工业冷却塔集热器提高集水性能。

Improvement of water harvesting performance through collector modification in industrial cooling tower.

作者信息

Kim Ji Yeon, Kang Jong Hoon, Moon Jong Woon, Jung Sung Yong

机构信息

Department of Mechanical Engineering, Chosun University, 309 Pilmun-Daero, Dong-gu, Gwangju, 61452, South Korea.

POSCO, Technical Research Laboratories, Iron & Steel Process Engineering Research Group, Pohang, South Korea.

出版信息

Sci Rep. 2022 Mar 18;12(1):4658. doi: 10.1038/s41598-022-08701-3.

Abstract

Shortages of freshwater have become increasingly common around the world, and various studies have been conducted to solve this problem by collecting and reusing the water in nature or from factories and power plants that produce large fog plumes. Although the shape of a collection screen is strongly related to its harvesting performance, only flat meshes have been considered in previous studies, and research on the effects of collector structure shapes is severely lacking. In this study, we proposed modified collector structures improving harvesting performances in industrial cooling towers. The screen shape was modified in three steps. First, a concave shape was adopted for the mesh screen to increase the aerodynamic characteristics of the collection structure. Next, a sidewall was installed to collect additional fog from defected flows generated by the concave structure. Finally, to reduce loss during the draining of collected water droplets, the discharge direction of the fog flow was changed to follow the same direction as fog-laden flows in nature. Our results are expected to be useful for collector design in terms of increasing harvesting efficiency in various industrial fields in the future.

摘要

全球范围内淡水短缺问题日益普遍,人们开展了各种研究,试图通过收集和再利用自然界的水或工厂及发电厂产生的大量雾羽中的水来解决这一问题。尽管收集筛网的形状与其收集性能密切相关,但以往研究仅考虑了平面筛网,严重缺乏对收集器结构形状影响的研究。在本研究中,我们提出了改进的收集器结构,以提高工业冷却塔的收集性能。筛网形状分三步进行修改。首先,筛网采用凹形,以增加收集结构的空气动力学特性。其次,安装侧壁以收集凹形结构产生的偏流中的额外雾气。最后,为减少收集到的水滴排水过程中的损失,将雾流的排放方向改为与自然界中含雾气流的方向一致。我们的研究结果有望在未来提高各工业领域的收集效率方面,对收集器设计有所帮助。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5086/8933487/8a5d5923d48a/41598_2022_8701_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验