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    Design and performance analysis of a PV-assisted alkaline electrolysis for hydrogen production: An experimental and theoretical study
    (Elsevier Sci Ltd, 2024) Mert, Mehmet Erman; Edis, Cansu; Akyildiz, Senay; Demir, Beyza Nur; Nazligul, Huseyin; Gurdal, Yeliz; Mert, Basak Dogru
    The PV assisted alkaline electrolysis cell was established for hydrogen generation. Lab-made AgNiCu modified nickel foam cathodes were used in this system. The characterization was achieved using field emission scanning electron microscopy, energy-dispersive X-ray and X-Ray diffraction analysis. The electrochemical performance was investigated via linear sweep voltammetry, cyclic voltammetry, Tafel polarization measurements and electrochemical impedance spectroscopy. The electrolysis potential and time depended efficiency was monitored. The structural theoretical analysis of the electrode surface and hydrogen evolution characteristics were also determined applying Density Functional Theory and Ab-initio Molecular Dynamics simulations which identified the role of Ag decoration and Cu incorporation on the surface against water and proton adsorptions. The modified cathode (AgNiCuF) improved the hydrogen production performance owing to lower hydrogen onset potential (-1.1 V) and charge transfer resistance (0.362 ohm at -1.5 V).
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    Öğe
    Experimental and computational study of a solar-powered electrolysis system with a SEPIC converter for green hydrogen production
    (Pergamon-Elsevier Science Ltd, 2025) Nazligul, Huseyin; Mert, Mehmet Erman; Edis, Cansu; Demir, Beyza Nur; Gurdal, Yeliz; Elattar, Khaled M.; Mert, Basak Dogru
    The study presents an integrated approach for sustainable hydrogen production by coupling a photovoltaic system with an alkaline electrolysis unit optimized for fluctuating solar conditions. The catalyst for the electrolysis system was NiCoMo-modified Ni foam, which was created using a two-stage galvanostatic procedure that involved Ni and Co deposition followed by Mo enrichment. Electrochemical tests such were used to verify the catalytic activity of alkaline electrolysis. The device produced 120.2 mL of hydrogen in 30 min at 3 V, with a Faradaic efficiency of around 93.6 %, showing suitable electrochemical efficiency. To ensure stable electrolysis operation, a SEPIC DC-DC converter was integrated into the system, managed by real-time maximum power point tracking algorithms-Particle Swarm Optimization, Genetic Algorithm, and Artificial Bee Colony-modeled using 2023 solar irradiance data from Adana, Turkey. The ABC algorithm demonstrated the fastest convergence performance. The SEPIC converter successfully stabilized the output voltage at 7.5 V despite daily and seasonal battery voltage variations, maintaining optimal catalyst operating conditions. In the theoretical part of the study, a Co and Mo-doped Ni surface was constructed, and water adsorption on the most stable surface was examined using Density Functional Theory (DFT). Computational examination of the electrical structure revealed that Mo atoms contribute significantly more to the alloy matrix than Ni and Co. DFT calculations found that the oxygen atom of the water molecule adsorbs on top of the Mo atom at an adsorption energy of -1.03 eV. Mo doping on the Ni(111) surface directly enhances the strength of water adsorption.
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    Öğe
    Production of NiCoMo-Supported Ni Foam for Electrocatalytic Oxidation of Methanol: Experimental and RSM Analysis
    (Springer Heidelberg, 2024) Mert, Basak Dogru; Demir, Beyza Nur; Edis, Cansu; Akyildiz, Senay; Ozgur, Ceyla; Mert, Mehmet Erman
    The Ni-, Co-, and Mo-supported Ni foam (NiF-NiCoMo) was produced via galvanostatic method, and electrooxidation of methanol in alkaline medium was examined. The characterization was achieved using field emission scanning electron microscopy, energy-dispersive X-ray, and X-ray diffraction analysis. The electrochemical behavior was determined via cyclic voltammetry and chronoamperometry analysis. The contribution of each transition metal to electrocatalytic performance of NiF was monitored via mono, binary, and ternary modifications of each transition metal (Ni, Co, and Mo) for several amounts (5, 10, and 15 mu g). Experiments were performed to determine the influence of catalyst amounts, methanol concentration, and scan rate parameters. The impacts of independent parameters on methanol electrooxidation were statistically investigated using Design-Expert software. The ability to analyze multiple parameters with a limited number of experimental performances is one of the method's key benefits. The developed model showed that 9.41 and 14.03 mu g catalyst amounts were the appropriate values for NiF-NiMo and NiF-NiCoMo achieving optimal circumstances, respectively.