AI's impact on energy grids, offering both challenges and opportunities, is explored in this article.
AI could cause a catastrophic collapse of under-prepared electric grids and walk back advancements in the decarbonization of the tech industry – or, it could be the sector’s saving grace. Artificial Intelligence requires a stunning amount of energy to train and power its complex computations. As the sector explodes, the computational power necessary to sustain its growth is doubling every 100 days, approximately.
One team of researchers from Pacific Northwest National Laboratory PNNL and Argonne National Laboratory have used AI to help narrow down potential combinations of solvents for flow-battery models that are three times more efficient than current models. Instead of using AI to help them conduct more experiments faster, the team used AI technology to rapidly eliminate thousands of potential combinations and narrow in on the ones worth testing out in the lab.
AI Energy Grids Power Consumption Data Centers Renewable Energy Energy Storage Smart Grids Machine Learning Decarbonization
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