How can artificial intelligence technology help in the development and deployment of innovative renewable and zero-carbon energy sources, i.e. hydrogen power, hydrogen fusion power, spent nuclear fuel power, ...?
In view of the above, with the development of renewable and emission-free energy sources there are many technological and environmental constraints on certain categories of spent materials used in this type of energy. On the one hand, it is necessary for power companies to make investments in electricity transmission and storage networks. On the other hand, economical technologies for the production of low-cost energy storage and recycling, disposal of used batteries and photovoltaic panels, including the recovery of rare metals as part of the aforementioned disposal process, are still to be developed. In addition, the problem of overheating of batteries in electric vehicles and the occurrence of situations of spontaneous combustion of these devices and dangerous, difficult to extinguish fires of the said vehicles are still not fully resolved. If the solution to such problems is mainly a matter of necessary improvements in technology or the creation of new, innovative technology, then arguably generative artificial intelligence technology should come to the rescue in this regard.
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
Article OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL I...
Important aspects of the implementation of the green transformation of the economy, including the development of renewable and zero-carbon energy sources I included in my article below:
IMPLEMENTATION OF THE PRINCIPLES OF SUSTAINABLE ECONOMY DEVELOPMENT AS A KEY ELEMENT OF THE PRO-ECOLOGICAL TRANSFORMATION OF THE ECONOMY TOWARDS GREEN ECONOMY AND CIRCULAR ECONOMY
Article IMPLEMENTATION OF THE PRINCIPLES OF SUSTAINABLE ECONOMY DEVE...
I invite you to discuss this important topic for the future of the planet's biosphere and climate.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How can artificial intelligence technology help in the development and deployment of innovative renewable and carbon-free energy sources, i.e. hydrogen power, hydrogen fusion power, spent nuclear fuel power, ...?
How can artificial intelligence technology help in the development and deployment of renewable and emission-free energy sources?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
There are different ways how they can be helpful. Probably in the same way as for carbon based energy. ;-)
The typical application of AI in industry is focusing on optimizing the processes, better control the processes, because of the non linear nature of ML. It can help by the use of expert systems to automate operational knowledge. And last but not least in the field of preventive maintenance.
And dependent, what processes you have in mind for renewable carbon free energy resources, there might be some more applications in the field.
I believe there are three cornerstones of research on how AI can be beneficial in ecological matters in general:
First, by addressing ecological issues and finding innovative solutions.
Second, by finding ways to reduce its own environmental footprint.
Third, by promoting an ecologically sustainable discourse, especially in generative AI.
My area of research focuses on the latter. If you are interested, please find the original article here:
https://www.researchgate.net/publication/373757824_Ecolinguistics_and_AI_Integrating_eco-awareness_in_natural_language_processing
- Badges
- Science topic
- Similar topics
- Mathematics
- Statistics
- Sampling Design
- Sample Size