Tuning initial pH to decrease salt ion transport in saltwater electrolysis
Year: 2024
Type: article
Abstract: • A validated model with Nernst-Planck fluxes simulated a 2-hr period of electrolysis. • Initial pH was varied to study the impact of [H + ] and [OH − ] on salt ion transport. • An initial anolyte pH of 0 and catholyte pH of 14 decreased salt ion transport. • A 75 % reduction in NO 3 − transport to the anode was observed at 10 mA cm −2 . • A 57 % reduction in NO 3 − transport to the anode was observed at 100 mA cm −2 . Thin-film composite membranes are being studied as replacements to more expensive ion exchange membranes in saltwater electrolysis for carbon neutral hydrogen production. However, a persistent challenge is transport of salt ions between a contained anolyte and saltwater catholyte rather than water ions (H + , OH − ). We used a validated Nernst Planck ion transport model in COMSOL Multiphysics to simulate how the initial electrolyte pH impacts total salt ion transport within the first two hours of electrolysis, when the greatest percentage of salts cross the membrane. At fixed current densities of 10 mA cm −2 and 100 mA cm −2 , setting an initial anolyte pH to 0 (rather than using a neutral pH) and catholyte pH of 14 achieved the goal of predominantly transporting water ions across the membrane, thereby accomplishing a substantial reduction in nitrate (substituting for chloride) ion transport. At the lower current density, setting the anolyte pH to 0 while leaving the catholyte pH neutral resulted in the same reduction of nitrate transport, with water ions carrying most of the charge. Thus, simply setting the solution initial conditions can substantially mitigate chloride ion transport from the catholyte to the anolyte, improving the feasibility of using saltwater electrolysis for green hydrogen production.
Source: Electrochemistry Communications
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,470
Funder: National Science Foundation
OpenAlex ID: W4405657153
