Grid Stability in the Age of AI: Through Boiler and Turbine Integrity
Artificial intelligence is rapidly becoming one of the most significant drivers of global electricity demand. By 2030, data centre consumption is expected to more than double, from 415 TWh to 945 TWh1, driven by AI-optimised servers that use up to ten times the energy of traditional computing. In the United States, data centres may account for nearly half of all demand growth, while in Europe they are projected to add 10–15% to national loads, with some countries already seeing digital infrastructure consume more than 20% of total electricity2.
This surge has widened the ‘availability gap’ – new generation and transmission capacity cannot be built fast enough, making grid stability increasingly dependent on the performance of assets already in service. Despite large-scale investment in renewables and new-build projects, most grids continue to rely on ageing thermal generation (biomass, waste-to-energy and gas-fired units) to provide the dispatchable power needed to balance intermittent supply. Many of these units are now operating well beyond their original design expectations, accelerating degradation mechanisms such as corrosion, erosion, and spallation.
As a result, forced outages have become more consequential, affecting reserve margins, dispatchability and market stability. Preserving the integrity of boilers, turbines and other prime movers through targeted maintenance and protective technologies is therefore essential to sustaining dependable output from the existing fleet and maintaining continuity of supply as demand increases.
Global Outages and Economic Consequences
Across both emerging and developed economies, power outages are becoming more frequent and costly. Blackouts disrupt industry, healthcare, and essential services, and they highlight the vulnerability of grids heavily dependent on ageing thermal assets and insufficient reserve margins. In many regions, rising demand is outpacing operators’ ability to maintain stable, predictable generation.
Across regions, outages and load shedding are becoming more frequent and costly. While triggers vary (fuel constraints, reserve margin stress, ageing infrastructure), the pattern is consistent: degradation in critical components reduces reliability until forced outages become unavoidable. Two equipment areas dominate forced-outage statistics: boiler pressure parts (especially tubes) and gas turbine hot-gas-path components.
South Africa and the Caspian Region – Structural Constraints and Reliability Risk
Across regions such as South Africa and the wider Caspian region, grid instability reflects different immediate pressures but a shared structural vulnerability. In South Africa, the return of Stage 3 load-shedding in early 2025 highlighted the fragility of an ageing fleet operating with strained reserve margins, where repeated breakdowns and unplanned outages left little tolerance for even minor equipment failures.
In the Caspian region and Iran, scheduled rolling blackouts introduced in late 2024 were driven by fuel constraints, with natural gas supply to power plants falling sharply and liquid fuel stocks severely depleted, forcing utilities with limited alternatives and outdated equipment to ration electricity. While the triggers differ, the underlying pattern is consistent: grid instability is rarely driven by headline failures alone, but by the progressive degradation of critical components that reduces reliability until outages become unavoidable, particularly in boiler pressure parts and gas turbine hot-gas-path components.


