Modelamiento mediante la Metodología de Superficie de Respuesta (RSM) de la producción de hidrógeno en un electrolizador sin membrana

Mario Alejandro Muñoz León; Edwin García Quintero; Héctor Darío Sánchez Londoño

doi:10.24054/rcta.v2i40.2356

Authors

Mario Alejandro Muñoz León Universidad de Antioquia https://orcid.org/0000-0003-0548-8087
Edwin García Quintero Universidad de Antioquia https://orcid.org/0000-0001-6735-0767
Héctor Darío Sánchez Londoño Universidad de Antioquia https://orcid.org/0000-0001-8753-4555

DOI:

https://doi.org/10.24054/rcta.v2i40.2356

Keywords:

Hydrogen, Response Surface, Modeling, Electrolyzer

Abstract

In the present work, hydrogen production in a membrane-less electrolizer is modeled for KOH, NaCl and NaHCO₃ solutions with different concentrations, using Responce Surface Methodology (RSM). It was found that the H₂ flux can be explained as a function of the logarithm of the delivered power and the electrolyte concentration, with a fit better that 95% according to the linear regression models proposed from data obtained with a potentio-dynamic experimental desing for each type of electrolyte. In addition, a superior performance of 1M KOH was found, producing 22 cm³ standard per minute (sccm) at 18W.

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References

Lamb, W. F., Wiedmann, T., Pongratz, J., Andrew, R., Crippa, M., Olivier, J. G., ... & Minx, J. (2021). A review of trends and drivers of greenhouse gas emissions by sector from 1990 to 2018. Environmental research letters, 16(7), 073005.

Victoria, M., Haegel, N., Peters, I. M., Sinton, R., Jäger-Waldau, A., del Canizo, C., ... & Smets, A. (2021). Solar photovoltaics is ready to power a sustainable future. Joule, 5(5), 1041-1056.

Olabi, A. G., Wilberforce, T., Elsaid, K., Salameh, T., Sayed, E. T., Husain, K. S., & Abdelkareem, M. A. (2021). Selection guidelines for wind energy technologies. Energies, 14(11), 3244.

Mazzeo, D., Matera, N., De Luca, P., Baglivo, C., Congedo, P. M., & Oliveti, G. (2021). A literature review and statistical analysis of photovoltaic-wind hybrid renewable system research by considering the most relevant 550 articles: An upgradable matrix literature database. Journal of Cleaner Production, 295, 126070.

Ozturk, M., & Dincer, I. (2021). A comprehensive review on power-to-gas with hydrogen options for cleaner applications. International Journal of Hydrogen Energy, 46(62), 31511-31522.

Møller, K. T., Jensen, T. R., Akiba, E., & Li, H. W. (2017). Hydrogen-A sustainable energy carrier. Progress in Natural Science: Materials International, 27(1), 34-40.

Li, J., Liu, W., & Qi, W. (2021). Hydrogen production technology by electrolysis of water and its application in renewable energy consumption. In E3S Web of Conferences (Vol. 236, p. 02001). EDP Sciences.

Ezzahra Chakik, F., Kaddami, M., & Mikou, M. (2017). Effect of operating parameters on hydrogen production by electrolysis of water. international journal of hydrogen energy, 42(40), 25550-25557.

Chi, J., & Yu, H. (2018). Water electrolysis based on renewable energy for hydrogen production. Chinese Journal of Catalysis, 39(3), 390-394.

Wei, J., Zhou, M., Long, A., Xue, Y., Liao, H., Wei, C., & Xu, Z. J. (2018). Heterostructured electrocatalysts for hydrogen evolution reaction under alkaline conditions. Nano-micro letters, 10(4), 1-15.

Manzotti, A., Quattrocchi, E., Curcio, A., Kwok, S. C., Santarelli, M., & Ciucci, F. (2022). Membraneless electrolyzers for the production of low-cost, high-purity green hydrogen: A techno-economic analysis. Energy Conversion and Management, 254, 115156.

Esposito, D. V. (2017). Membraneless electrolyzers for low-cost hydrogen production in a renewable energy future. Joule, 1(4), 651-658.

Garimella, S., Vimal, A., Merugu, R., & Kumar, A. (2019). Optimization for enhanced hydrogen production from Rhodobacter sphaeroides using response surface methodology. SN Applied Sciences, 1(2), 1-8.

Chee, M. K., Ng, B. J., Chew, Y. H., Chang, W. S., & Chai, S. P. (2022). Photocatalytic Hydrogen Evolution from Artificial Seawater Splitting over Amorphous Carbon Nitride: Optimization and Process Parameters Study via Response Surface Modeling. Materials, 15(14), 4894.

Özgür, C., & Mert, M. E. (2022). Prediction and optimization of the process of generating green hydrogen by electrocatalysis: A study using response surface methodology. Fuel, 330, 125610.

Naseer, M. N., Zaidi, A. A., Khan, H., Kumar, S., Owais, M. T. B., Abdul Wahab, Y., & Alrobei, H. (2021). Statistical modeling and performance optimization of a two-chamber microbial fuel cell by response surface methodology. Catalysts, 11(10), 1202.