Department of Chemical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
Water Res. 2019 May 15;155:162-174. doi: 10.1016/j.watres.2019.02.023. Epub 2019 Feb 25.
A techno-economic analysis is used to evaluate the economic feasibility of ion concentration polarization (ICP) desalination for seawater desalination and brine management. An empirical optimization model based on a limited set of experimental data, which was obtained from a lab-scale ICP desalination prototype, was established to calculate the required energy and membrane area for a given set of operating parameters. By calculating operating and capital expenses in various feed and product cases, the optimal levelized cost of water is determined over a range of feed salinities, mostly above seawater salinity (35 g/kg). Through these analyses, we study the economic feasibility of three applications: 1) partial desalination of brine discharge by ICP (feed varied from 35 to 75 g/kg) to common seawater RO feed level (35 g/kg) in a hybrid ICP-RO system; 2) the concentration of seawater desalination brine for salt production, and 3) partial desalination of oilfield wastewater. The economic feasibility of ICP desalination processes has been evaluated and the rough cost of treatment has been generated for several relevant applications. The approach taken in this work could be employed for other new and existing desalination processes, where a priori process modeling and optimization is scientifically and/or numerically challenging.
采用技术经济分析评估了离子浓差极化（ICP）淡化海水和盐水管理的经济可行性。建立了基于有限组实验数据的经验优化模型，这些数据是从小规模 ICP 淡化原型中获得的，用于计算给定操作参数集所需的能量和膜面积。通过计算各种进料和产品情况下的运行和资本支出，在一系列进料盐度范围内（主要高于海水盐度 35g/kg）确定了最优的平准化水成本。通过这些分析，研究了三种应用的经济可行性：1）在 ICP-RO 混合系统中，通过 ICP 对盐水排放进行部分淡化（进料盐度从 35 到 75g/kg）至常见的海水 RO 进料水平（35g/kg）；2）海水淡化盐水的浓缩用于制盐；3）油田废水的部分淡化。评估了 ICP 淡化工艺的经济可行性，并为几个相关应用生成了处理的粗略成本。这项工作中采用的方法可以应用于其他新的和现有的海水淡化工艺，对于这些工艺，预先的过程建模和优化在科学和/或数值上具有挑战性。
