| 摘要: |
| 蒸发冷却与固体除湿耦合的空调形式是拓展蒸发冷却技术在南方湿热地区数据中心应用范围和时长的可行性方法之一。本文设计搭建了装填硅胶颗粒的单、双级固体除湿装置，在南方湿热地区城市广州的过渡季条件下进行了实验测试，并建立了理论计算模型，结果表明：在温度为25.2 °C和平均相对湿度为56.4%~74.9%范围下，固体除湿装置具有较好的除湿性能；双级固体除湿箱的最大除湿效率和最大平均除湿效率分别为单级固体除湿箱的2倍和2.9倍；单、双级固体除湿箱的吸湿率时间常数β分别在0.35~1.00和0.33~1.18间，含湿比时间常数α取值分别在0.37~1.10和0.41~1.30间；理论计算模型与实际变化曲线的平均相对误差在10%以内。 |
| 关键词: 固体除湿箱 除湿性能 湿热地区 数据中心 |
| DOI： |
| 投稿时间：2021-07-04 修订日期：2021-10-05
|
| 基金项目:国家重点研发计划(2016YFE0133300)；欧盟2020 研究和创新基金项目:Horizon 2020 研
究与创新项目计划———数据中心低能耗露点冷却技术研究
(734340-DEW-COOL-4-CDC-MSCA-RIS)、广东机场白云信
息科技有限公司:机场能源管理系统节能优化及控制模型研
究项目( P-BYGHT-XX1020190170) |
|
| Performance Comparison of Single-stage and Double-stage Solid Desiccant Dehumidification Systems in the Southern Humid and Hot Regions |
| Yang Wansheng,Ling Zipeng,Li Yi,Wang Jing |
| (School of Civil and Transportation Engineering, Guangdong University of Technology) |
| Abstract: |
| The coupled system of evaporative cooling and solid desiccant dehumidification is feasible to solve the problems of energy consumption and air quality of data centers compared with the traditional cooling method. It is also one of the primary means of expanding the application scope and period of evaporative cooling technology in the southern humid and hot regions. A single-and double-stage solid desiccant dehumidification device filled with silica gel particles was designed and built in this study. Experiments were conducted during the transitional season in Guangzhou, a typical city in southern China’s humid and hot regions. Theoretical calculation models were also established. The results show that: better dehumidification performance can be achieved under 25.2 °C and RH 56.4%~74.9%; the maximum dehumidification efficiency and average dehumidification efficiency of the double-stage solid desiccant dehumidification system are 2 times and 2.9 times of the single-stage solid desiccant dehumidification system, respectively; and the time constants of moisture absorption rate β of the single-stage and double-stage solid desiccant dehumidification systems are between 0.35~1.00 and 0.33~1.18, respectively; the time constants of moisture ratio α are between 0.37~1.10 and 0.41~1.30; and the theoretical calculation model can fit the actual change curve well, with an average relative error below 10%. |
| Key words: solid desiccant dehumidification dehumidification performance hot and humid region data centers |
