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The utility saector continues to face extreme challenges. Physical assets, operations, and supply chains are being exposed to intensifying weather events. Every incremental degree of heat, every inch of rainfall, and every storm surge now carries the potential for measurable financial impact. As climate-related threats continue to intensify, they are defining business reality and are reshaping how power systems are planned, operated, and financed amid a simultaneous surge in energy demand. For industry leaders, this is not just an operational challenge, it's about developing an adaptation playbook across the system that aligns with the broader investment strategy.
At the center of this challenge are two interlocking ideas: vulnerability and resilience. Vulnerability adds on to where and how an organization’s assets, operations, and supply chains are most exposed to physical climate risk, by exploring the likelihood and extent of the impacts on the organization’s value chain. Resilience measures the ability to anticipate, absorb, and recover from those disruptions while maintaining reliability and stakeholder confidence. Quantifying both is essential to translating climate uncertainty into business intelligence. This enables utilities to see the financial implications of risk more clearly, strengthen decision-making, and act with greater confidence.
All too often, though, traditional investment planning fails to include the financial dimensions of severe weather. But companies that integrate advanced weather analytics into Operations & Maintenance (O&M) and capital estimations, project prioritization, and filing strategy can increase resilience in their system while at the same time hardening their cases for investment and/or recovery. It is efficient risk mitigation, adaptation, and strategic capital allocation backed by evidence regulators expect.
How can companies measure vulnerability and build resilience?
To effectively measure vulnerability and resilience, utilities should identify which assets are exposed to extreme weather and understand the changing physical environments in which they operate. Establishing a consistent, scalable process for evaluating impacts is essential for generating reliable and comparable results. The Electric Power Research Institute (EPRI), a global energy research and development organization, has developed a physical climate risk assessment framework across four dimensions:
- Hazard assessment: Evaluate potential adverse events and/or trends, focusing broadly on changing physical environmental conditions.
A look at how extreme heat hazard scores may intensify in the coming decades
- Exposure assessment: Leverage geospatial data to help determine which assets are located in areas that could be adversely affected by various hazards.
Power plants in the New York Metropolitan area exposed to rising sea levels
- Vulnerability assessment: Using hazards specific to the location of a given asset, determine whether that exposure could meaningfully affect the functionality of the asset or system.
- Response assessment: Evaluate the actions that can be taken to help reduce risk and increase resilience of your assets.
How can data and tech help your firm understand its climate risk exposure?
Conducting a thorough asset impact assessment requires both internal and external data. Numerous external sources offer information on hazards and impact pathways for utility assets (often referred to as “fragility curves”). Effectively utilizing these resources demands personnel who are skilled in working with such datasets and possess advanced modeling capabilities to integrate extreme weather data with asset-specific details, including:
- The exact location of each asset being assessed (longitude and latitude).
- Physical characteristics of each asset, including asset type, age, current condition, construction material, and pre-existing adaptations.
- Financial and operational characteristics such as maintenance or replacement costs and historical financial impact from severe weather events.
Technology can underpin the repeatability and integrity of this work, some of which may already be in place:
- Data collection and integration: Geospatial information systems map utility assets against climate hazards, and an enterprise data platform can integrate operational data (e.g. outage history, maintenance logs) with climate and weather datasets.
- Extreme weather modeling tools: These tools can help translate global climate projections into localized hazard scenarios.
- Scenario planning and enhancement tools: They enable your organization to test investment options under multiple climate futures, balancing safety, reliability, and affordability.
- Interactive mapping dashboards: These dashboards help communicate the exposure and risk hotspots across the organization and to planners, regulators and stakeholders.
By establishing a consistent, data-driven approach to assessing vulnerabilities and adaptation, utilities can transform complex climate science into actionable insights to help facilitate the physical risk assessment activities and the identification of relevant mitigation strategies. With this foundation in place, the next important step is to consider how these assessments are put to work.
How can your organization leverage weather data and tech to build resilience?
Vulnerability and climate resilience assessments are required in certain states1, but the information produced by this exercise can be critical in several key operational and strategic processes, as well as regulatory filings:
By mapping vulnerability and resilience outputs across the overall spectrum of planning and regulatory processes, utilities can confirm that climate considerations are systematically integrated into decision-making. Following a consistent framework for measurement and developing a roadmap for action can bridge the gap between scientific assessment and real-world investment.
From measurement to momentum
The next phase of resilience planning will likely depend on how well utilities can translate climate data into a forward-looking strategy. Understanding where assets are most vulnerable is only the beginning. The real value lies in testing those insights across a range of future scenarios, combining advanced weather modeling with investment planning to anticipate how today’s decisions will eventually perform under tomorrow’s climate realities.
Organizations that integrate these insights into their capital planning, rate cases, and long-term resource strategies can demonstrate not only compliance, but also financial and operational foresight. Financial scenario analysis can help utilities prioritize which risks to address first, while detailed climate and asset modeling can provide the supporting evidence regulators increasingly expect in filings. Together, these tools can turn complex climate uncertainty into defensible, data-backed decision-making.
1 Examples include 1) the Climate Change Vulnerability Study (CCVS) and Climate Change Resilience Plan (CCRP) in New York; 2) the Climate Adaptation Vulnerability Assessment (CAVA) in California; 3) Storm Protection Plan (SPP) in Florida.
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