Across the power sector, plant owners are confronting a fundamental question: how long can existing assets continue to operate safely and economically? What was once a long-range planning exercise has become an immediate strategic priority, driven by a convergence of market, operational, and policy pressures.
Load demand is rising at a pace many utilities and operators have not seen in decades, fueled in part by the growth of data centers and broader electrification. However, developing new generation is neither fast nor simple. Long lead times, high capital costs, and evolving policy and permitting requirements are reshaping how organizations think about capacity planning.
Plant life extension is emerging as both a reliability imperative and a financial strategy. Extending the life of existing assets allows operators to meet increasing demand while deferring significant capital investment but doing so requires a clear understanding of asset condition, operational risk, and long-term economics.
Factors to Consider with Retirement
While life extension presents a compelling option, not every unit is suited for continued operation. Early indicators of potential retirement often appear in the form of deferred maintenance and gaps in inspection programs, which can signal underlying reliability risks.
These challenges are frequently compounded by aging infrastructure and the gradual loss of institutional knowledge. As experienced personnel transition out of the workforce, undocumented equipment issues and historical context can be lost, making it more difficult to assess true asset condition.
A central consideration is whether it is more cost effective to continue operating a unit until failure or to pursue a planned life extension. This evaluation must account not only for current operating costs, but also for how the unit’s role in the market may be evolving. In some cases, shifting market dynamics may require a unit to remain online longer than originally anticipated.
Capital investment plays a decisive role in this analysis. Major equipment replacements or upgrades represent significant financial commitments and often determine whether a unit is scheduled for shutdown or becomes a candidate for life extension. These decisions are closely tied to condition assessments, which help identify the major overhauls required to extend asset life by 10 to 20 years and provide clarity on the associated costs.
Conducting Comprehensive Condition Assessments
A comprehensive condition assessment forms the foundation for any informed decision regarding plant life extension. It integrates technical evaluation, operational insight, and data analysis to provide a thorough view of asset health.
Industry-leading practices indicate that the majority of maintenance work should be preventive, with corrective work addressing unexpected issues and emergency work remaining a relatively small portion of overall activity. An optimal industry practice classifies work order types as falling into a balance of three buckets: 10% emergency, 25% corrective and 65% preventative. In one case study, the average cost of a work order for an emergency was approximately $8,200, corrective was $3,400, and preventive was $1,700. The more forward-looking the planning, often times the more cost-efficient the action.
When this balance is achieved, it reflects a disciplined and proactive maintenance approach. Variations in work order classification and cost accuracy can also reveal differences in work management effectiveness, with more consistent data often indicating stronger processes and better overall performance.
Detailed inspection report reviews are critical, particularly for key assets such as turbines, boilers, and generators. Incorporating service bulletins and technical advisories helps mitigate known issues, while a focus on life cycle risks highlights where equipment may be approaching operational limits.
Capturing personnel and craft knowledge is equally important. Conversations with operations and maintenance staff often uncover undocumented issues that are not reflected in formal systems, adding an essential layer of context to the assessment.
Benchmarking and financial analysis provide additional perspective by comparing maintenance funding and performance, while also identifying recurring reliability drivers. These insights help distinguish between isolated equipment issues and broader systemic challenges.
A thorough review of the computerized maintenance management system (CMMS) and historical data is essential to understanding maintenance effectiveness and backlog trends. These trends can only be evaluated when data is accurate and consistently classified. Data from a CMMS can be used to track meaningful and measurable key performance indicators (KPIs), such as backlog, resource utilization, rework, and predictive and preventative maintenance ratios. Within this data, KPIs provide measurable insight into maintenance performance.
Developing a Long-Term Reliability Strategy
With a clear understanding of asset conditions, organizations can begin to define a long-term reliability strategy grounded in both economic and operational realities. Determining viability requires balancing the cost of continued operation against the risks associated with aging equipment and potential failure.
A structured reliability framework provides the foundation for this effort. Establishing clear program goals and aligning KPIs sees that maintenance activities support broader operational objectives. At the same time, successful implementation depends on effective change management and active workforce engagement.
In many cases, staffing models must evolve to support a more proactive approach to maintenance. Developing comprehensive equipment lists and asset hierarchies enables more effective planning and prioritization, while a well-defined preventive maintenance program helps reduce unplanned outages and extend asset life.
Optimizing work management processes and closing feedback loops further strengthens this framework, creating a cycle of continuous improvement that enhances both reliability and efficiency over time.
Leveraging Data and Advanced Analytics to Extend Asset Life
Data and analytics are playing an increasingly important role in extending plant life and improving decision-making. Establishing strong data governance practices is essential to this effort, including the creation of a single source of truth and broader access to reliable asset data.
Predictive and prescriptive analytics build on this foundation by enabling more advanced insights. Predictive models can forecast equipment degradation, while prescriptive tools provide recommendations for corrective actions. Artificial intelligence is also contributing by supporting asset hierarchy development and improving the extraction and organization of data from existing systems.
These capabilities enable a range of practical applications. Organizations can forecast maintenance backlog costs, identify recurring equipment issues through root cause analysis, and prioritize capital investments based on risk. Failure mode analysis further supports maintenance optimization by aligning maintenance strategies with actual equipment behavior.
The Future of Plant Life Extension
Looking forward, plant life extension will be shaped by the convergence of digital tools and workforce transformation. As analytics capabilities continue to evolve, organizations will be better positioned to reduce life cycle costs and make more informed, data-driven decisions.
Achieving these outcomes will require stronger alignment across operations, maintenance, and engineering. Coordinated decision-making maintains that reliability, cost, and risk are balanced effectively, supporting both near-term performance and long-term strategy.
Taking a New Perspective
Extending the life of generation assets requires more than technical analysis; it demands a shift in mindset. Moving from reactive operations to proactive asset management allows organizations to anticipate issues, optimize maintenance practices, and improve overall reliability.
When approached strategically, plant life extension becomes an investment rather than a temporary solution. By leveraging data, strengthening maintenance discipline, and aligning organizational priorities, plant owners can unlock long-term value while meeting the demands of a progressively more intricate energy landscape.
—Taylor Loveall is a project manager at 1898 & Co., part of Burns & McDonnell. She specializes in consulting services for power generation projects.
