Shifting Energy Horizons: Utilizing AI-Driven Energy Forecasting for Hydrogen Production in Urban Environments

Résumé fourni par la source

The depletion of hydrocarbon supplies has spurred a global paradigm shift toward renewable energy sources, generating an urgent need for creative solutions that can satisfy the energy demands of cities in a sustainable manner. In this context, the development of an AI-powered energy forecasting tool is a viable way to addressing the complex difficulties of urban energy management. This research focuses on explaining the technique and critical components of such a tool, which is critical in providing exact projections for energy generation in urban areas. The major focus is on the use of solar and wind energy for hydrogen synthesis. The creation of this AI tool necessitates a careful data processing approach that includes the acquisition and analysis of a full 12-month dataset including all seasons. This information is critical since it serves as the foundation for assuring the accuracy of energy availability projections. It compensates for variations in solar irradiation, which is crucial for solar energy, and wind speed, which is critical for wind energy. The program can offer realistic estimates that account for the intermittent nature of renewable energy sources by including these dynamic characteristics. This enables urban planners to make well-informed judgments about maximizing energy consumption, resulting in a more sustainable and efficient urban energy environment. The synthesis of hydrogen using proton exchange membrane (PEM) electrolyzers is one of the principal uses of the AI-driven instrument. As renewable energy sources such as sun and wind vary, excess energy may be transferred to PEM electrolyzers, where water is electrolyzed to produce hydrogen. The quantity of hydrogen generated by a hybrid solar and wind energy system is expected to be 3.5 kg/day to 21 kg/day. This sustainable hydrogen generation provides a possible method for efficiently storing and using excess renewable energy, hence boosting energy sustainability in urban settings.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.