Mao Weidong, Zou Xiang, Guo Zhongquan, Sun Sui, Ma Sai, Lyv Shunzhi, Xiao Yan, Ji Xinxiang, Wang Yuan
China Coal Technology & Engineering Group Hangzhou Research Institute Co., Ltd., Hangzhou 311201, China.
UNSW Centre for Transformational Environmental Technologies, Yixing 214200, China.
Membranes (Basel). 2021 Jul 11;11(7):521. doi: 10.3390/membranes11070521.
Coal mine waters often have high salinity, hardness and alkalinity. The treatment of coal mine water requires careful management of multi-stage reverse osmosis (RO) systems to achieve effective recovery of water for domestic reuse, as well as zero liquid discharge to minimise the impact to the local environment. Design of RO systems for coal mine water treatment has been limited to the use of commercial design packages provided by membrane manufacturers, which do not provide insights into the impact of operating parameters such as feedwater salinity, concentrations of sparingly soluble salts, feed pressure and their interactions with different RO modules on the fouling/scaling potential of RO membranes. This also restricts the use of novel RO products and the delivery of an optimum design based on real needs. In this work, a mathematical model was developed to simulate a standard brackish water RO pressure vessel consisting six full-size RO membrane elements, using computational fluid dynamics (CFD). The model can be used to predict the permeate flowrate, water recovery levels, as well as the spatial information of the accumulation and scaling potential of sparingly soluble salts on the membrane surface. The results obtained from the model showed good agreement with the results obtained from the commercial RO design software WAVE. The CFD model was then used to predict the scaling threshold on various positions of a full-scale RO element, at different operating conditions, using parametric simulations based on Central Composite Designs. Outputs from this work not only provide insights into the microscopic flow characteristics of multiple full-scale elements in the RO pressure vessel, but also predicts the position where scaling would occur, at different feed conditions, for any RO products.
煤矿水通常具有高盐度、高硬度和高碱度。煤矿水的处理需要对多级反渗透(RO)系统进行精细管理,以实现家庭回用的有效水回收,并实现零液体排放,从而将对当地环境的影响降至最低。用于煤矿水处理的RO系统设计一直局限于使用膜制造商提供的商业设计软件包,这些软件包无法深入了解诸如进水盐度、微溶盐浓度、进水压力等运行参数,以及它们与不同RO模块的相互作用对RO膜结垢/污堵可能性的影响。这也限制了新型RO产品的使用以及基于实际需求的优化设计的实现。在这项工作中,利用计算流体动力学(CFD)开发了一个数学模型,用于模拟一个由六个全尺寸RO膜元件组成的标准苦咸水RO压力容器。该模型可用于预测渗透流量、水回收率,以及微溶盐在膜表面的积累和结垢可能性的空间信息。该模型得到的结果与商业RO设计软件WAVE得到的结果吻合良好。然后,基于中心复合设计,利用CFD模型通过参数模拟预测全尺寸RO元件在不同运行条件下各个位置的结垢阈值。这项工作的成果不仅能深入了解RO压力容器中多个全尺寸元件的微观流动特性,还能预测在不同进水条件下任何RO产品可能发生结垢的位置。