1. Assessment of a NaOH-based alkaline electrolyser's performance: System modelling and operating parameters optimisation.
- Author
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Mennilli, Francesca, Jin, Lingkang, Rossi, Mosè, and Comodi, Gabriele
- Subjects
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EVIDENCE gaps , *NONLINEAR regression , *SENSITIVITY analysis , *ELECTROLYTES , *TEMPERATURE - Abstract
Most of the scientific research is focused on KOH-based alkaline electrolysers, while NaOH-based ones are unexplored although they present interesting features. This paper presents a semi-empirical model developed in the Python environment to predict a NaOH-based alkaline electrolyser's performance to cover such a research gap and perform an optimisation procedure of electrochemical parameters. A sensitivity analysis has been carried out to study how its performance changes while varying the: i) NaOH content, ii) pressure, and iii) both. Separately, the best result has been obtained with a NaOH content and an operating pressure of 8% and 6.5 bar, respectively. Furthermore, the same values have been recorded even by varying both the NaOH content and the operating pressure. Specifically, a maximum average efficiency increase of 3.57% at 35 ° C , 0.17% at 40 ° C , and 3.74% at 35 ° C in the case of NaOH content, pressure, and both, respectively. [Display omitted] • A semi-empirical model of a NaOH-based alkaline electrolyser is developed. • Optimised electrochemical coefficients are obtained using non-linear regression. • A sensitivity analysis of a NaOH-based alkaline electrolyser is performed. • Optimal operating conditions, based on the cell temperature, are achieved. • Efficiency increase of 3.74% is obtained with NaOH content and pressure variation. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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