This thesis presents the modeling and implementation of a hybrid green hydrogen power system designed for residential use, developed in collaboration with the company Hybitat. The system has the aim of utilizing mid or long term hydrogen storage to exploit surplus renewable energy, specifically photovoltaic (PV) energy, while managing its intermittent nature. First, an overview on why nowadays green hydrogen power systems can play a crucial role in the advancement of sustainable technology is conducted. Subsequently, the focus shifts to the real system protoype and the modeling of its three main components: an AEM electrolyzer, a metal-hydride hydrogen storage, and a PEM fuel cell. Mathematical models of such components are developed and implemented in the MATLAB/Simulink environment. When available, real-world data from the system prototype or literature are used to perform parameter identification, followed by a comparison between real and simulated scenarios. This work contributes to the advancement of green hydrogen technologies by demonstrating their potential for reducing dependency on fossil fuels and offering a sustainable energy solution for residential applications.
Modeling and Implementation of a Hybrid Green Hydrogen Power System
GIACÒ, LORENZO
2023/2024
Abstract
This thesis presents the modeling and implementation of a hybrid green hydrogen power system designed for residential use, developed in collaboration with the company Hybitat. The system has the aim of utilizing mid or long term hydrogen storage to exploit surplus renewable energy, specifically photovoltaic (PV) energy, while managing its intermittent nature. First, an overview on why nowadays green hydrogen power systems can play a crucial role in the advancement of sustainable technology is conducted. Subsequently, the focus shifts to the real system protoype and the modeling of its three main components: an AEM electrolyzer, a metal-hydride hydrogen storage, and a PEM fuel cell. Mathematical models of such components are developed and implemented in the MATLAB/Simulink environment. When available, real-world data from the system prototype or literature are used to perform parameter identification, followed by a comparison between real and simulated scenarios. This work contributes to the advancement of green hydrogen technologies by demonstrating their potential for reducing dependency on fossil fuels and offering a sustainable energy solution for residential applications.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/73761