The AI paradox: energy-hungry technology could speed clean energy transition

Diana DiGangi | Source: Utility DIVE | Posted 12/11/2024

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Artificial intelligence is being used to safeguard utility infrastructure, advance the cutting edge of renewable energy research and help permit clean energy projects — but simultaneously, the technology is threatening to strain the grid with massive load growth.

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Artificial intelligence is being utilized to protect utility infrastructure, enhance renewable energy research, and streamline the permitting process for clean energy projects. However, this surge in AI-driven data centers is projected to contribute significantly to U.S. electricity load growth, potentially straining the grid. The growth in demand for electricity driven by AI could require utilities to increase annual generation by up to 26% by 2028, posing challenges for policymakers, regulators, and the industry to meet future energy demands.

AI is helping utilities address risks like vegetation management and climate change by enabling remote monitoring of infrastructure. Companies like AiDash are leveraging AI technologies to automate tasks such as data collection and risk assessment, assisting developers in accelerating clean energy projects. Additionally, AI is playing a crucial role in advancing research on commercializing nuclear fusion as an energy source, with AI-driven applications such as the DisruptionPy library helping to streamline data analysis and prevent disruptions in fusion reactions, ultimately optimizing efficiency in energy generation and reducing costs.

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The AI paradox: energy-hungry technology could speed clean energy transition

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