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用于绿色制氢的太阳能电解系统与SEPIC变换器的实验与计算研究
Experimental and computational study of a solar-powered electrolysis system with a SEPIC converter for green hydrogen production
| 作者 | Hüseyin Nazlıgül · Mehmet Erman Mertb · Cansu Edisa · Beyza Nur Demir · Yeliz Gurdal · Khaled M.Elattar · Başak Doğru Merta |
| 期刊 | Solar Energy |
| 出版日期 | 2025年1月 |
| 卷/期 | 第 298 卷 |
| 技术分类 | 光伏发电技术 |
| 技术标签 | 多物理场耦合 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | Solar-powered water [electrolysis system](https://www.sciencedirect.com/topics/engineering/electrolysis-system "Learn more about electrolysis system from ScienceDirect's AI-generated Topic Pages") modeled with SEPIC converter. |
语言:
中文摘要
本研究提出了一种将光伏系统与碱性电解装置耦合的集成方法,旨在实现可持续氢气生产,并针对波动的太阳能条件进行了优化。电解系统的催化剂采用通过两步恒电流法制备的NiCoMo修饰镍泡沫,该过程包括先沉积Ni和Co,随后进行Mo富集。通过电化学测试验证了该催化剂在碱性电解中的催化活性。在3 V电压下运行30分钟,装置产生了120.2 mL的氢气,法拉第效率约为93.6%,显示出良好的电化学效率。为确保电解过程的稳定运行,系统中集成了SEPIC型DC-DC变换器,并采用基于2023年土耳其阿达纳市太阳辐照数据建模的实时最大功率点跟踪算法进行控制,所用算法包括粒子群优化算法、遗传算法和人工蜂群算法。其中,人工蜂群算法表现出最快的收敛性能。尽管电池电压存在昼夜和季节性变化,SEPIC变换器仍成功将输出电压稳定在7.5 V,从而维持了催化剂的最佳工作条件。在研究的理论部分,构建了Co和Mo掺杂的Ni表面,并利用密度泛函理论(DFT)分析了水分子在最稳定表面上的吸附行为。对电子结构的计算分析表明,Mo原子对合金基体的贡献显著大于Ni和Co原子。DFT计算结果显示,水分子中的氧原子优先吸附在Mo原子的顶端位置,吸附能为−1.03 eV。Mo掺杂于Ni(111)表面可直接增强水分子的吸附强度。
English Abstract
Abstract 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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SunView 深度解读
该光伏制氢系统对阳光电源SG系列逆变器与储能系统集成具有重要参考价值。研究中的SEPIC变换器稳压技术与PSO/ABC算法MPPT优化,可借鉴至我司1500V光伏系统的宽电压输出场景。NiCoMo催化剂在波动光照下的高法拉第效率(93.6%)验证了直连电解槽的可行性,为PowerTitan储能系统拓展制氢应用提供技术路径。多物理场DFT计算方法可应用于我司SiC/GaN功率器件的热-电耦合仿真优化,提升变流器在氢能负载下的动态响应性能。