Hydrogen is gaining attention as a sustainable energy source with the potential to replace fossil fuels. Due to its high diffusivity and wide flammability range, hydrogen can easily ignite with minimal electrical energy, leading to explosion and fires with minimal friction. Effective blast walls can restrict the dispersion of hydrogen, reducing the explosion overpressure due to delayed ignition. In addition, firewalls can improve safety by minimizing the impact behind the walls, thereby reducing the radiant heat caused by jet fires. This study proposes to optimize the distance between leak sources and barriers, as well as the height and width of barriers, to address explosion overpressure and radiation heat at hydrogen refueling stations (HRS). The optimization was carried out using Response Surface Methodology (RSM) and Artificial Neural Networks (ANN) and validated by simulations. This study confirms the feasibility of the barrier design at HRS and contributes to the improvement of safety.
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