Prediction and optimization of the process of generating green hydrogen by electrocatalysis: A study using response surface methodology
dc.authorid | Gungor, CEYLA/0000-0002-4072-6784 | |
dc.authorid | MERT, MEHMET ERMAN/0000-0002-0114-8707 | |
dc.contributor.author | Ozgur, Ceyla | |
dc.contributor.author | Mert, Mehmet Erman | |
dc.date.accessioned | 2025-01-06T17:37:35Z | |
dc.date.available | 2025-01-06T17:37:35Z | |
dc.date.issued | 2022 | |
dc.description.abstract | Nowadays, the interest in alternative fuels is increasing from day to day. Therefore, various studies are carried out on the production of hydrogen, which is considered as a clean energy source. The aim of this work is to investigate the hydrogen production efficiency of Ni and Cu deposited Ni foam electrodes with various amounts of compositions and the experimental studies for acquiring the maximum hydrogen efficiency were examined. Electrolysis time, electric voltage, and catalyst amount were chosen as the independent variables. The impacts of these independent variables on hydrogen production were interpreted statistically using the Design-Expert software. One of the significant advantages of this method is that it is possible to analyse more than one parameter by doing a small number of experimental studies. The created model identified the ideal parameters for obtaining optimum hydrogen generation as 30 min electrolysis time, 3 V electric voltage, and 11.35 mu g catalyst quantities. | |
dc.identifier.doi | 10.1016/j.fuel.2022.125610 | |
dc.identifier.issn | 0016-2361 | |
dc.identifier.issn | 1873-7153 | |
dc.identifier.scopus | 2-s2.0-85136099147 | |
dc.identifier.scopusquality | Q1 | |
dc.identifier.uri | https://doi.org/10.1016/j.fuel.2022.125610 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14669/2294 | |
dc.identifier.volume | 330 | |
dc.identifier.wos | WOS:000860742300005 | |
dc.identifier.wosquality | Q1 | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.language.iso | en | |
dc.publisher | Elsevier Sci Ltd | |
dc.relation.ispartof | Fuel | |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.snmz | KA_20241211 | |
dc.subject | Electrocatalyst | |
dc.subject | Hydrogen | |
dc.subject | RSM | |
dc.subject | Prediction | |
dc.subject | Optimization | |
dc.title | Prediction and optimization of the process of generating green hydrogen by electrocatalysis: A study using response surface methodology | |
dc.type | Article |