蒸发器
蒸发
材料科学
多孔性
气凝胶
吸收(声学)
图层(电子)
光热治疗
化学工程
太阳能淡化
基质(水族馆)
海水淡化
纤维素
废物管理
复合材料
纳米技术
化学
机械工程
生物化学
物理
海洋学
热交换器
膜
地质学
工程类
热力学
作者
Zhenzhen Li,Lingjie Yu,Haodong Ma,Jianglong Chen,Jiaguang Meng,Yongzhen Wang,Yaming Liu,Qingwen Song,Zijing Dong,Menghe Miao,Bo Li,Chao Zhi
标识
DOI:10.1016/j.scitotenv.2023.166212
摘要
Interfacial solar evaporators are widely used to purify water. However, photothermal materials commonly constituting most interfacial solar evaporators remain expensive; additionally, the inherent structure of the evaporators limits their performance. Furthermore, the large amount of waste cotton produced by the textile industry is an environmental threat. To address these issues, we propose an interfacial solar evaporator, H-CA-CS, with a hierarchical porous structure. This evaporator is made entirely of waste cotton and uses carbon microspheres (CMS) and cellulose aerogel (CA) as photothermal and substrate materials, respectively. Additionally, its photothermal layer (CS layer) has large pores and a high porosity, which promote light absorption and timely vapor escape. In contrast, the water transport layer (CA layer) has small pores, providing a robust capillary effect for water transport. Combined with the outstanding light absorption properties of CMS, H-CA-CS exhibited superior overall performance. We found that H-CA-CS has an excellent evaporation rate (1.68 kg m-2 h-1) and an efficiency of 90.6 % under one solar illumination (1 kW m-2), which are superior to those of many waste-based solar evaporators. Moreover, H-CA-CS maintained a mean evaporation rate of 1.61 kg m-2 h-1, ensuring sustainable evaporation performance under long-term scenarios. Additionally, H-CA-CS can be used to purify seawater and various types of wastewater with removal efficiencies exceeding 99 %. In conclusion, this study proposes a method for efficiently using waste cotton to purify water and provides novel ideas for the high-value use of other waste fibers to further mitigate ongoing environmental degradation.
科研通智能强力驱动
Strongly Powered by AbleSci AI