{"title":"Optimization of the length-width-height combination of unit-channel PEMFC for maximizing volumetric power density","authors":"Jae Ho Lee , Seong Bae Pak , Il Seouk Park","doi":"10.1016/j.icheatmasstransfer.2025.110345","DOIUrl":null,"url":null,"abstract":"<div><div>This study aims to optimize the length, width, and height of a proton exchange membrane fuel cell (PEMFC) in order to maximize its power density within a limited volume. To this end, a regression model based on artificial neural network (ANN) was developed using 625 datasets obtained through thermofluidic-electrochemical coupled CFD analysis. The input variables for the regression model were the length, width, and height of the bipolar plate and flow channel, as well as the total volume of the PEMFC. The output parameters consisted of pressure drop and current density. It was revealed that PEMFCs with a same volume may exhibit a wide range of net power densities, from 424 to 2342 W/L. In this study, the optimized PEMFC demonstrated a 2.38-fold improvement in power density compared to a baseline model. In addition, this study analyzed the impact of the aspect ratio and cross-sectional area of the flow channel on the PEMFC performance.</div></div>","PeriodicalId":332,"journal":{"name":"International Communications in Heat and Mass Transfer","volume":"172 ","pages":"Article 110345"},"PeriodicalIF":6.2000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Communications in Heat and Mass Transfer","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0735193325017713","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/12/24 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MECHANICS","Score":null,"Total":0}
引用次数: 0
Abstract
This study aims to optimize the length, width, and height of a proton exchange membrane fuel cell (PEMFC) in order to maximize its power density within a limited volume. To this end, a regression model based on artificial neural network (ANN) was developed using 625 datasets obtained through thermofluidic-electrochemical coupled CFD analysis. The input variables for the regression model were the length, width, and height of the bipolar plate and flow channel, as well as the total volume of the PEMFC. The output parameters consisted of pressure drop and current density. It was revealed that PEMFCs with a same volume may exhibit a wide range of net power densities, from 424 to 2342 W/L. In this study, the optimized PEMFC demonstrated a 2.38-fold improvement in power density compared to a baseline model. In addition, this study analyzed the impact of the aspect ratio and cross-sectional area of the flow channel on the PEMFC performance.
期刊介绍:
International Communications in Heat and Mass Transfer serves as a world forum for the rapid dissemination of new ideas, new measurement techniques, preliminary findings of ongoing investigations, discussions, and criticisms in the field of heat and mass transfer. Two types of manuscript will be considered for publication: communications (short reports of new work or discussions of work which has already been published) and summaries (abstracts of reports, theses or manuscripts which are too long for publication in full). Together with its companion publication, International Journal of Heat and Mass Transfer, with which it shares the same Board of Editors, this journal is read by research workers and engineers throughout the world.