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Scaling Green Hydrogen Production Through AI Innovations: Review of Production Technologies and Global Policies Impact
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Author(s): Bhupinder Singh (Sharda University, India), Saquib Ahmed (Sharda University, India), Saurabh Chandra (Bennett University, Greater Noida, India)and Anita Singh (Sharda University, India)
Copyright: 2025
Pages: 14
Source title:
Leveraging AI for Innovative Sustainable Energy: Solar, Wind and Green Hydrogen
Source Author(s)/Editor(s): Hind Hammouch (University Sidi Mohamed Ben Abdellah, Morocco)and Laeeq Razzak Janjua (WSB University, Poland)
DOI: 10.4018/979-8-3373-0045-0.ch023
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Abstract
Green hydrogen, which is produced via water electrolysis powered by renewable energy, has emerged as a favored solution to decarbonize sectors such as transportation, heavy industry and power generation. But things like high production cost, inefficiency, and a difficult operation still pose challenges for its widespread adoption. The transformative potential usually sits with artificial intelligence (AI). The analytics on data through AI algorithms means far better adjusted to live demands with solar and wind inputs for instance. Less energy is wasted and production costs fall. Predictive maintenance, backed with AI-driven algorithms, enables electrolysis systems to run continuously with less downtime, thereby reducing operational risks while ensuring better scalability.
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