Renewable energy for green Hydrogen production: experimentation and predictive tool
| Autor: | Nassima Aissani, Islam Hadj Mohamed Guetarni, Khatima Chafaa, Islam Rouidi, Badreddine Merzougui, Zoubida Lounis |
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| Jazyk: | English<br />French |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Revue des Énergies Renouvelables, Pp 33 – 45-33 – 45 (2024) |
| Druh dokumentu: | article |
| ISSN: | 1112-2242 2716-8247 |
| DOI: | 10.54966/jreen.v1i3.1292 |
| Popis: | The primary objective of this project is to develop a system for the production of green hydrogen, envisioned as a sustainable and environmentally friendly fuel source for the future. This system aims to store energy in the form of renewable and clean chemical energy. To achieve this goal, the project encompasses a thorough investigation, both theoretical and practical, of a hybrid energy system that integrates solar and wind power. The proposed production process is designed to function autonomously, relying solely on renewable energy resources such as wind and solar power to drive the hydrogen generation process. The system is equipped with an advanced control mechanism that optimizes efficiency by dynamically managing the input from the hybrid energy sources based on real-time environmental conditions. The core of the production process is electrolysis, a method that decomposes water into hydrogen and oxygen using electrical energy. To enhance this process, a catalyst is employed to reduce the energy required for electrolysis, thereby increasing the system’s overall efficiency. This approach not only maximizes hydrogen production but also ensures that the process remains viable and cost-effective, even with the variability inherent in renewable energy sources. Furthermore, the project aims to create a robust knowledge base from experimental data collected under various operational conditions. This data will be used to develop predictive models capable of estimating hydrogen production under different weather scenarios and optimizing the reliability and performance of the electrolyzer. By simulating conditions such as varying wind speeds and solar radiation levels, these models will enable more precise control and planning, ensuring the system can adapt to changing environmental conditions. In the broader context, this project serves as a foundational step towards the deployment of green hydrogen as a versatile energy carrier that can be integrated into a variety of applications, from energy storage to transportation. The insights gained from this research could pave the way for larger-scale implementation, contributing to the global transition towards a low-carbon, sustainable energy future. |
| Databáze: | Directory of Open Access Journals |
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