AI in Energy Transition

Its all about carbon - rather de-carbonization now! With the energy sector being key to this, AI promises significant potential in accelerating this global transition.  

The energy sector is the key sector for the global transition to de-carbonization and AI has significant potential to accelerate this transition. While fossil fuels are still responsible for 80% of global energy, renewable energy generation is growing quickly on the back of falling tech costs and increasing investments.

So far, much of the energy sector’s de-carbonization strategies are based on low-carbon infrastructure hardware – however, AI and digital technologies promise greater scale and speed of transition to low-carbon energy sustenance.

The nature of renewable energy generation is linked to intermittent sources (solar and wind) necessitating the need to coordinate and optimize its dynamic generation, supply, consumption, and storage – while ensuring safety and reliability of the two-way grids.

AI offers the potential to coordinate not only the energy life-cycle of distributed power generation, supply, transmission, storage, and demand – but also the operational complexity of grid optimization with variable conventional and renewable sources, distributed energy asset coordination, two-way demand management, renewable energy forecasting, and autonomous electricity systems.

AI’s role in global energy and de-carbonization transition is still in early stages with much innovation, collaboration, and adoption remaining ahead.