White Paper

Electric Utilities and Energy Providers Are Entering a New Reliability Era

Electric utilities, power generators, and energy infrastructure providers are now operating at a turning point. Aging generation assets and grid infrastructure must now support unprecedented demand growth driven by AI, data centers, electrification, and industrial reshoring.

In this environment, reliability is a planning problem with direct implications for grid stability, service-level agreements, regulatory exposure, and return on capital.

UNLOCKING BILLIONS IN VALUE FOR CLIENTS IN 30+ INDUSTRIES

In this White Paper, you’ll learn:

Demand Is Surging on Infrastructure Near the End of Its Life
31% of U.S. transmission and 46% of distribution infrastructure is near or beyond its useful life, just as AI, data centers, and electrification push demand growth to 1.7% a year, up from 0.1% in 2005-2019. Hyperscalers are now signing nuclear deals directly, which removes the option to wait.
Lead Times Turn Planning Mistakes into Multi-Year Problems
Large gas turbine waits have stretched from around three years to as long as seven, with GE Vernova taking reservations into 2031. Turbine prices jumped from roughly $2,000/kW to $3,000/kW in six months. Mistakes are expensive and slow to unwind.
Every Asset Class Fails Differently, but All Must Work Together
Gas, wind, solar, and nuclear each have distinct degradation patterns and failure behavior. They are often managed across separate business units, yet they are tightly coupled at the grid level. Plans have to account for all of them at once, including future options like small modular reactors.
Reliability Is the Hidden Source of Value Leakage
The biggest loss isn't demand volatility alone. It's reliability uncertainty, which spreads into excess inventory held as insurance, high-cost expediting, and missed service-level agreements. Without visibility into which failures are likely and when, decisions only happen after the damage is done.
Why MTBF, RCA, and CMMS Aren't Enough
These proven tools explain what failed and why, but they're retrospective and rarely feed forward-looking decisions. Even Weibull analysis, which models failure probability, usually sits in isolation. Planning teams keep working from averages, fixed assumptions, and static inventory policies.
Reliability Shifts from Engineering Hindsight to Planning Foresight
Connecting failure-risk modeling, asset hierarchies, supplier constraints, and planning into one decision foundation lets leaders act earlier on inventory, maintenance, workforce, and capacity. Decisions that once took weeks of alignment can be evaluated in hours or minutes, protecting returns on capital.

Mercedes HillSenior Director, Industrial Manufacturing

Keeping the Lights On Starts Long Before Anything Breaks

Electric utilities and energy providers are being asked to carry the fastest demand growth in decades on infrastructure that is often near the end of its life. With data centers and hyperscalers driving the load, and gas turbine lead times stretching to as long as seven years, there is no option to wait. Every unplanned outage now threatens service levels, regulatory standing, and return on capital.

The tools most organizations rely on, from MTBF and RCA to CMMS, explain what failed after the fact, while planning still runs on averages and fixed assumptions. Gas, wind, solar, and nuclear each fail differently, yet they must perform as one system. The leaders pulling ahead treat reliability as a probability and connect failure risk to inventory, maintenance, workforce, and capacity decisions, so they can act before constraints hit. This whitepaper shows how they turn reliability from engineering hindsight into planning foresight, and protect the returns on historic capital investments.

Electric Utilities and Energy Providers Are Entering a New Reliability Era

In this environment, reliability is a planning problem with direct implications for grid stability, service-level agreements, regulatory exposure, and return on capital.

Explore these key questions

MTBF, RCA, FMEA, and CMMS platforms are built to explain what already went wrong, not to flag what is about to. Planning teams keep working from averages and fixed assumptions, so the warning signs never reach inventory or capacity decisions. Inside, you'll see what it takes to close that gap.