Artificial Intelligence for Renewable Energy Storage Roadmap for 2030

Soliman, Fouad; Mahmoud, Karima

ISBN 10: 620806547X / ISBN 13: 9786208065478

Editore: LAP Lambert Academic Publishing, 2024

In. Codice articolo ria9786208065478_new

Riassunto:

Renewable energy plays a key role in the journey to net zero carbon emissions, helping to reduce the demand for fossil fuels by providing cleaner sources of energy. But as the world derives an increasing amount of its electricity from these renewable energy sources, there's a growing need for technologies that can capture and store it. Renewable energy generation mainly relies on naturally-occurring factors - hydroelectric power is dependent on seasonal river flows, solar power on the amount of daylight, wind power on the consistency of the wind - meaning that the amounts being generated will be intermittent. Similarly, the demand for energy isn't constant either, as people generally tend to use different amounts of energy at different times of the day and the year. So, when the amount of renewable energy being generated is greater than what's needed, it makes sense to store that excess energy so it can be used at a time when the demand exceeds the generation.

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Titolo: Artificial Intelligence for Renewable Energy...
Casa editrice: LAP Lambert Academic Publishing
Data di pubblicazione: 2024
Legatura: Brossura
Condizione: New