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CRA AdequacyX

Advanced Resource Adequacy Analysis for an Evolving Grid

As the resource mix changes and electricity demand grows, traditional approaches to resource adequacy are increasingly challenged by weather-dependent generation, storage, changing load patterns, extreme weather, correlated outages, and other complex interactions across the power system.

CRA AdequacyX is CRA’s advanced resource adequacy modeling platform designed to evaluate reliability under these evolving conditions. AdequacyX combines Monte Carlo simulation with synthetic representations of future weather, load, and resource performance to model conditions that may not be adequately represented by historical observations alone.

The platform enables CRA to evaluate thousands of potential system conditions and identify the combinations of load, weather, resource availability, and outages that drive reliability risk. Combined with CRA’s power-market, system-planning, and regulatory expertise, AdequacyX provides clients with more than a model result: it provides an analytical framework for understanding why reliability risks arise and how alternative resources, investments, and market designs can address them.

Our services include:

  • Probabilistic resource adequacy modeling
  • Future-condition simulation
  • Correlated risk analysis
  • Loss-of-load analysis
  • Capacity accreditation and ELCC
  • Extreme-event analysis
  • Storage and renewable analysis
  • Load growth and large-load scenarios
  • Portfolio and resource-mix analysis
  • Reliability and affordability tradeoffs
  • Market and planning support

Please contact energypractice@crai.com for more information.

Engagements

  • 01
    Resource adequacy and cold-weather risks for large load client
    CRA supported a large load client by assessing the resource adequacy of a grid in which they were considering making a large economic investment. In addition...
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  • 02
    Supported PJM utility in addressing resource adequacy amid high load growth
    CRA supported a utility in PJM evaluate expected resource adequacy challenges due to load growth and retiring generation outpacing the new resource entry. CRA...
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