Hanqing Fan, Yuxuan Huang, Peter Cruz-Grace, Ngai Yin Yip
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Hypersaline Electrodialysis Desalination: Intrinsic Membrane and Module Performance Trade-offs
This study assesses the potential of electrodialysis (ED), traditionally applied to demineralize brackish waters, for the emergent challenge of hypersaline desalination. The analysis reveals that the desalination performance of hypersaline ED is determined by two intrinsic membrane trade-offs─ion conductivity–charge selectivity and ion conductivity–water resistivity─and a process trade-off between energy consumption and concentrate volume reduction. The charge selectivity and ion–water selectivity of ion-exchange membranes (IEMs), which are both influenced by the structural property of water uptake, are principal factors affecting membrane-level performance, whereas the operating current density simultaneously impacts the module-level metrics of specific energy consumption and water recovery yield. With current commercial IEMs, the energy costs of ED can be competitive with prevailing thermally driven evaporative processes for the desalination of hypersaline streams < ≈100,000 ppm TDS (equivalent to ≈1.5 M NaCl). To enable energy-efficient ED for higher salinities, membranes capable of suppressing the detrimental effect of water permeation need to be developed. This can be attained by polymeric IEMs with low water per fixed charge site or through material innovation beyond the charged polymers of conventional IEMs.
期刊介绍:
ACS ES&T Engineering publishes impactful research and review articles across all realms of environmental technology and engineering, employing a rigorous peer-review process. As a specialized journal, it aims to provide an international platform for research and innovation, inviting contributions on materials technologies, processes, data analytics, and engineering systems that can effectively manage, protect, and remediate air, water, and soil quality, as well as treat wastes and recover resources.
The journal encourages research that supports informed decision-making within complex engineered systems and is grounded in mechanistic science and analytics, describing intricate environmental engineering systems. It considers papers presenting novel advancements, spanning from laboratory discovery to field-based application. However, case or demonstration studies lacking significant scientific advancements and technological innovations are not within its scope.
Contributions containing experimental and/or theoretical methods, rooted in engineering principles and integrated with knowledge from other disciplines, are welcomed.