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风速波动时带电池和不带电池的用于微咸水淡化的风力反渗透装置的优化

Optimization of Wind Driven RO Plant for Brackish Water Desalination during Wind Speed Fluctuation with and without Battery.

作者信息

Ali Emad, Bumazza Mourad, Eltamaly Ali, Mulyono Sarwono, Yasin Muath

机构信息

Chemical Engineering Department, King Saud University, Riyadh 11421, Saudi Arabia.

Sustainable Energy Technologies Center, King Saud University, Riyadh 11421, Saudi Arabia.

出版信息

Membranes (Basel). 2021 Jan 20;11(2):77. doi: 10.3390/membranes11020077.

Abstract

This work aimed to carry out an optimal investigation of the design and operation of a large capacity reverse osmosis (RO) desalination plant powered by wind energy. Different scenarios involving two design options, such as using storage tanks or batteries, and operation options, such as using variable or fixed feed pressure, were analyzed and optimized. In addition, another operation option, of using a fixed number of RO vessels or a varying number of active RO vessels, was also considered. It was found that an optimized plant using storage tanks can provide a less expensive water cost and a less complicated plant structure. Moreover, the use of a variable feed pressure can help in attenuating the disturbances incurred in the form of wind intermittency. Conversely, the use of fixed feed pressure and constantly supplied power per vessel can run the RO units smoothly, leading to a predictable production rate. However, this requires operating the plant on different active sets of vessels each hour, which mandates additional automatic control systems. The water cost when storage tanks are utilized can be as low as 7.42 $/m, while it is around 19.7 $/m when a battery is used.

摘要

这项工作旨在对由风能驱动的大容量反渗透(RO)海水淡化厂的设计和运行进行优化研究。分析并优化了不同的方案,这些方案涉及两种设计选项,如使用储水箱或电池,以及运行选项,如使用可变或固定的进料压力。此外,还考虑了另一种运行选项,即使用固定数量的RO容器或不同数量的运行中的RO容器。结果发现,使用储水箱的优化工厂可以提供成本更低的水,且工厂结构更简单。此外,使用可变进料压力有助于减轻以风能间歇性形式出现的干扰。相反,使用固定进料压力和每个容器持续供电可以使RO装置平稳运行,从而实现可预测的生产率。然而,这需要每小时在不同的运行容器组上运行工厂,这就需要额外的自动控制系统。使用储水箱时的水成本可低至7.42美元/立方米,而使用电池时约为19.7美元/立方米。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc0e/7909577/f6288a3937ef/membranes-11-00077-g001.jpg

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