Abstract
This study explores the viability of hydrogen as a sustainable alternative to conventional oil-based fuels in vehicle systems, promoting economic decarbonization. Hydrogen is lauded for significantly reducing pollutant emissions, supporting green technology, and aligning with global commitments like the Paris Agreement and Glasgow Resolutions. Central to this study is the introduction of an innovative optimization methodology utilizing the Generalized Reduced Gradient (GRG) technique. This advanced Nonlinear Programming strategy is specifically adapted to optimize the hydrogen generation process, addressing the lifecycle from production, particularly through renewable sources like solar and wind, to efficient storage and distribution. Our approach not only focuses on minimizing costs and environmental impacts but also enhances the infrastructure for hydrogen deployment. By refining the integration strategies for hydrogen fuel cell vehicles, the methodology aims to streamline the transition towards non-polluting automotive technologies, adhering to the EU’s economic decarbonization frameworks and leveraging digital government strategies. This paper offers a novel perspective on the optimization challenges in hydrogen energy, providing a blueprint for energy stakeholders aiming to adopt and implement more sustainable energy solutions effectively.
Published Version
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