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Role of Artificial Intelligence in Advancing Green Hydrogen Production
Nov, 2023

Role of Artificial Intelligence in Advancing Green Hydrogen Production

Hartek Group

The hyped intersection between AI and green hydrogen is all set to shape the need for sustainability. With the strong potential to improve the pathway for producing and consuming energy, green hydrogen and AI are proving to be a powerful duo. 

The modern world is in ultimate need of suppressing excessive greenhouse gas emissions and reducing the rate of carbon emissions as well. Therefore, the use of AI for green hydrogen production is helping the world win over a sustainable future. 

In this article, you shall learn about the applications of AI in the production of green hydrogen and how it is helping promote a sustainable future. 

What is Green Hydrogen Production?

The production of green hydrogen by using the electrolysis method upon water, alongside renewable energy sources, is considered an ideal alternative to fossil fuels. You can now expect it to be used in diverse applications, such as power generation, transportation, and industrial processes. 

It offers a versatile & clean energy carrier that helps decarbonise diverse economic sectors. But, the production of green hydrogen still remains energy-intensive and expensive, which is one of the biggest challenges in its wide-scale adoption. Thus, this is the arena where AI steps in! 

How is AI Helpful in Green Hydrogen Production?

AI or Artificial Intelligence brings up the potential to improve green hydrogen production, distribution, and storage. Thus, the entire process becomes cost-effective and astoundingly efficient. 

With the ability to utilise the power of machine learning and advanced algorithms, AI is helping identify ideal locations to support renewable energy installations. The AI algorithms take topography, infrastructure, and weather patterns into account for the same. 

As a result, green hydrogen production will be approached at the lowest possible expenses, which will maximise the ROI for your specific projects around renewable energy. Furthermore, there are diverse applications of AI in the field of green hydrogen production, which you shall learn in the following section. 

What are the Different AI Applications in Green Hydrogen Production?

Some of the applications of using AI for advancing green hydrogen production are:

  • Forecasting of Renewable Energy

Among the critical challenges associated with green hydrogen production, the intermittent nature of all renewable energy sources is quite worrisome. However, with AI algorithms, it is now possible to forecast the availability of various renewable energy sources. Thus, it will help in optimising the overall hydrogen production. 

  • Proper Energy Management

AI integration with energy management solutions will help optimise hydrogen-based production on demand by considering the availability of various renewable energy sources. Thus, it helps lower the overall production cost, making green hydrogen more competitive with that of fossil fuels. 

  • Fault Diagnosis & Detection

AI is ideally used to detect or diagnose potential faults within the green hydrogen production process. With this technology, you can help identify the root cause of the problem and take ideal actions to prevent any possible downtime. 

  • Process Optimisation

As you know, the green hydrogen production process consists of many complex attributes. However, using AI can help optimise those complexities through better predictability and controllability of the parameters that might affect the hydrogen or yield quality. It shall further help in reducing the rate of energy consumption and scaling the production efficiency. 

Benefits of AI Being Used for Green Hydrogen Production

Now that you are aware of the applications of AI in green hydrogen production let’s get an insight into some of the benefits associated with this duo:

  • Cost Reduction

Upon optimising the overall production process for green hydrogen with the use of AI, energy consumption will be reduced, which will reduce the overall cost of production. 

  • Better Sustainability

More efficient production of green hydrogen will help reduce greenhouse gas emissions, contributing to a better sustainable future. AI will encourage the adoption of green hydrogen over fossil fuels to make it possible. 

  • Enhanced Efficiency

The entire production process of green hydrogen will be optimised by AI, which will promote better efficiency and lower energy consumption.

Conclusion

AI has the utmost potential to be the biggest contributor to optimising the production of green hydrogen. This shall make green hydrogen more competitive than the existing systems, intending to achieve sustainability goals worldwide. 

HARTEK is an expert organisation that has been promoting the use of technology in energy management systems for a long time. We have been leveraging the potential of AI to streamline the production of green hydrogen to support the world’s demand for sustainability.