화학공학소재연구정보센터
학회 한국공업화학회
학술대회 2021년 봄 (05/12 ~ 05/14, 부산 벡스코(BEXCO))
권호 25권 1호
발표분야 [화학공정] AI 기반 공정시스템 기술
제목 Mass transfer enhanced electrochemical reactor design for large scale CO2 reduction
초록 Herein, we experimentally measured the production rate of CO in a large-scale electrochemical CO2 reduction reactor by varying the pH, interface, and flow pattern. The result indicated that optimization of the flow pattern alone can improve the production rate of CO by 27.8% indicating that a high convection rate through gas diffusion electrode (GDE) results in a high production rate. A three-dimensional computational fluid dynamic model was developed to quantify the effect of the new flow pattern on the mass transfer. From the model, the Peclet number increased by 28%, which is consistent with the CO partial current increment. This result indicates that the convective mass transfer improves the production rate. Additionally, we proposed a general guideline for the flow pattern design for a large-scale electrochemical CO2 reduction reactor that maximizes convective mass transfer through a GDE.
저자 이웅1, 정병찬2, 박성호2
소속 1한국과학기술(연), 2서울대
키워드 CO2; electrochemical reduction; CFD
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