A practical electrodialysis model for accelerating system development

Abstract Empirical optimization of electrodialysis (ED) is dependent on repetitive experiments with incremental adjustments, which is cost prohibitive at scale. While models can reduce the costs associated with optimization and scale‐up, existing ED models are limited in application to specific use cases and tend to be developed for the exploration of specific transport phenomena. The field requires a practical system‐level model, generalized for the broad range of ED systems. This work presents a modeling framework that enables rapid evaluation of membrane stack design, flow configuration, scale, and operational inputs. Across applications spanning 1–5400 L, use of conventional and bipolar membranes, operation in continuous, batch, and fed‐batch modes, and feedstocks including seawater, brine, wastewater, and manure hydrolysate, the model achieves a mean R 2 of 0.978 for concentration‐time profiles and links design choices to techno‐economic trade‐offs, enabling cost‐aware prioritization of system configurations.