AI Drives Rising Power Demand And Outages
Analysts warn that AI-driven computing is rapidly increasing electricity demand, with data centre consumption expected to rise from 415 TWh to 945 TWh by 2030. The surge strains ageing thermal fleets—raising forced outages in regions such as South Africa and Iran—and highlights failures in boiler tubes and gas-turbine hot-gas-path components. Operators are adopting targeted maintenance, diagnostics, and protective claddings such as high-velocity thermal spray to reduce failure risk and support grid stability.
Key Points
- 1Forecasts predict data centre electricity use rising from 415 TWh to 945 TWh by 2030
- 2Aging thermal assets suffer accelerated degradation, increasing forced outages and straining reserve margins globally
- 3Adopt targeted inspections, PCA anomaly detection, and HVTS protective claddings to prevent boiler and turbine failures
Scoring Rationale
High practical relevance and industry-wide impact with actionable mitigation steps, but limited novelty and primarily single-source reporting reduces confirmation.
Sources
Public references used for this report.
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