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oai:figshare.com:article/34027202 2026-09-29T18:05:55Z category_1 category_146 category_915 category_7 category_8 category_13 category_21 category_24 category_272 category_873 category_39 category_734 category_132 portal_63 item_type_6 month_year_09_2026

Understanding Mass Transport and Reaction Environment to Optimize CO₂ Electrodialysis Systems Jintong Gao (21628397) Yusaku Nishimura (25138496) Gong Zhang (69122) Tsuyoshi Hamaguchi (396045) Masaoki Iwasaki (6597356) Lenan Zhang (5546309) Biophysics Space Science Physical Sciences not elsewhere classified Medicine Microbiology Genetics Biotechnology Evolutionary Biology Environmental Sciences not elsewhere classified Chemical Sciences not elsewhere classified Ecology Biological Sciences not elsewhere classified Infectious Diseases electrodialysis systems electrodialysis direct air capture although previous studies understanding mass transport coupled mass transport proton utilization efficiency informed design insights efficient carbon utilization bubble nucleation barrier 2 </ sub significantly advanced co bubble nucleation providing transport mechanistic insights current efficiency efficient co system levels specific trade renewable electricity reaction zones reaction localization reaction environment ph gradient operating conditions generation rate critical technology approach captures Electrodialysis (ED) is a critical technology for decarbonization, which can be paired with direct air capture to produce a concentrated CO₂ stream for efficient carbon utilization and storage. Although previous studies have significantly advanced CO₂ ED at the process, membrane, and system levels, the coupled mass transport and reaction environment governing CO₂ regeneration remain insufficiently understood, limiting further improvement in current efficiency. Here we develop a spatially resolved modeling framework for CO₂ ED. Our approach captures the interplay among concentration polarization, pH gradient, and reaction localization, thereby enabling direct prediction of CO₂ generation rate, proton utilization efficiency, and bubble nucleation barrier. Using three representative electrolytes with distinct acid–base properties, we show that buffering and acidity can substantially reshape ion distributions and reaction zones, which produce electrolyte-specific trade-offs between CO₂ regeneration and bubble nucleation. Building on these mechanistic insights, we further identify ED cell geometries and operating conditions that maximize proton utilization efficiency while mitigating undesirable bubble nucleation. This work elucidates mass transport and reaction environment in CO₂ ED, providing transport-informed design insights for efficient CO₂ regeneration powered by renewable electricity. 2026-09-29T00:00:00Z Text Journal contribution 10.1021/acsestengg.6c00435.s001 https://figshare.com/articles/journal_contribution/Understanding_Mass_Transport_and_Reaction_Environment_to_Optimize_CO_sub_2_sub_Electrodialysis_Systems/34027202 CC BY-NC 4.0