- European Mechanical Science
- Volume:7 Issue:1
- PEMEC performance evaluation through experimental analysis of operating conditions by response surfa...
PEMEC performance evaluation through experimental analysis of operating conditions by response surface methodology (RSM)
Authors : Safiye Nur ÖZDEMİR, İmdat TAYMAZ, Emin OKUMUŞ, Fatmagül BOYACI
Pages : 16-21
Doi:10.26701/ems.1203924
View : 19 | Download : 8
Publication Date : 2023-03-20
Article Type : Research Paper
Abstract :The optimum current value of the proton exchange membrane electrolysis cell insert ignore into journalissuearticles values(PEM-EC); mainly depends on various operational factors, such as temperature, operating pressure, water flow rate, and membrane water content. Therefore, this study aims to maximize performance related to the current of PEM-EC by determining the optimal operating conditions of the PEM electrolysis cell having a 9 cm² active layer. In this regard, response surface methodology insert ignore into journalissuearticles values(RSM); and central composite design insert ignore into journalissuearticles values(CCD); were applied using Design-Expert insert ignore into journalissuearticles values(trial version); software to identify the optimal combination of operating variables such as temperature, pump speed, and cell voltage. Temperature, pump speed, and cell voltage were the independent variables to have ranged from 40-80 °C, 1-8, and 1.8-2.3 V, respectively. Also, the individual and combined effects of operational parameters on cell performance will be included in this study by ANOVA insert ignore into journalissuearticles values(analysis of variance);. The optimal parameters are 80 °C, 1, and 2.3 V, respectively, temperature, pump speed, and cell voltage corresponding to the maximum current output of PEM-EC. This RSM tool found that the maximum current was 16.778 A. In addition, it was concluded that the most influential parameter on cell performance was the cell voltage, followed by the temperature.Keywords : PEM electrolysis cell, Operational conditions, Optimization, Response surface methodology RSM,