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In response to the escalating global demand for energy spurred by industrialization, nations are increasingly turning to alterna-tive fuel sources. Among these alternatives, hydrogen stands out for its remarkable efficiency and environmental benefits. With its potential to significantly reduce fuel consumption and air pollution, particularly in the transportation sector, hydrogen has garnered widespread attention as a promising solution to our energy challenges. This study focuses on the development of a dynamic model for an internal combustion engine powered by hydrogen (H2-ICE). By intricately dissecting and modeling the various components of the engine and their interactions, we aim to create a comprehensive simulation platform. This platform will enable us to accurately predict and analyze the performance of H2-ICE under different operating conditions. Through the utilization of advanced simulation tools like Matlab Simulink, we can validate the efficacy and reliability of our model, providing valuable insights into the behaviour of hydrogen-powered engines. Furthermore, the implications of this research extend beyond mere simulation. The developed model opens up avenues for further exploration and innovation in the field of hydrogen propul-sion. For instance, it lays the groundwork for the development of sophisticated control systems tailored specifically for H2-ICE applications. Additionally, the effectiveness of the proposed model in terms of air intake dynamics, pressure, temperature, fuel injection response, combustion efficiency, and overall engine performance, such as power output, torque, and engine velocity are illustrated through simulation results using Matlab Simulink.

In this research, the integration of an alkaline electrolyzer system with a photovoltaic (PV) array is explored to facilitate the green production of hydrogen. By directly coupling these two technologies, solar energy is harnessed to drive the electrolysis process, consequently generating hydrogen as a sustainable energy carrier. To enable accurate simulation and analysis of the integrated system, a novel methodology is introduced for identifying and quantifying the various parameters crucial for under-standing the electrical behavior of the alkaline electrolyzer system. Through this method, the interplay between the PV array's output and the electrolyzer's operation can be comprehensively captured, allowing for precise modeling of the overall system dynamics. Moreover, mathematical equations are established to provide insights into the anticipated quantities of hydrogen gen-erated by the electrolyzer system under different operating conditions. These equations serve as predictive tools, offering valuable insights into the system's performance and efficiency, essential for optimizing its design and operation. The proposed methodol-ogy and equations are implemented and validated using the MATLAB/Simulink environment, a powerful tool for simulating complex systems. By leveraging this platform, the integrated PV-electrolyzer system can be simulated with high fidelity, captur-ing its dynamic behavior and performance characteristics under varying scenarios. The promotion of renewable energy-based solutions for sustainable hydrogen production is aimed to be facilitated by this research, thereby contributing to the transition towards a greener and more resilient energy future.

In this research, the integration of an alkaline electrolyzer system with a photovoltaic (PV) array is explored to facilitate the green production of hydrogen. By directly coupling these two technologies, solar energy is harnessed to drive the electrolysis process, consequently generating hydrogen as a sustainable energy carrier. To enable accurate simulation and analysis of the integrated system, a novel methodology is introduced for identifying and quantifying the various parameters crucial for understanding the electrical behavior of the alkaline electrolyzer system. Through this method, the interplay between the PV array's output and the electrolyzer's operation can be comprehensively captured, allowing for precise modeling of the overall system dynamics. Moreover, mathematical equations are established to provide insights into the anticipated quantities of hydrogen generated by the electrolyzer system under different operating conditions. These equations serve as predictive tools, offering valuable insights into the system's performance and efficiency, essential for optimizing its design and operation. The proposed methodology and equations are implemented and validated using the MATLAB/Simulink environment, a powerful tool for simulating complex systems. By leveraging this platform, the integrated PV-electrolyzer system can be simulated with high fidelity, capturing its dynamic behavior and performance characteristics under varying scenarios. The promotion of renewable energy-based solutions for sustainable hydrogen production is aimed to be facilitated by this research, thereby contributing to the transition towards a greener and more resilient energy future. [ABSTRACT FROM AUTHOR]