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Workshop Opening
What’s Broken, What’s Getting Better, and What Might Not Really Matter: A Perspective on Power Systems Modeling
Paul Denholm, Senior Research Fellow, National Laboratory of the Rockies (NLR)

Session 1M: Weather-to-Grid Linkages
Session Chair: Justin Sharp, Senior Technical Leader, Electric Power Research Institute (EPRI)

Weather-related factors–such as resource availability, demand profiles, and outages–are increasingly influential to grid planning. How are such factors considered in current planning models that need to consider both economics and reliability?

Session 2M: Geospatial Techniques in Grid Planning
Session Chair: Anthony Lopez, Senior Manager, NextEra Energy

Energy development is fundamentally a geospatial challenge. Optimizing the power system portfolio requires understanding how resource availability, transmission corridors, permitting constraints, land use, and load growth interact across the grid. This panel explores how geospatial science is transforming the way utilities and developers plan, site, and deploy energy infrastructure.

Session 3M: Linkages and Data Translations between Economic Models
Session Chair: Bethany Frew, Group Manager, National Laboratory of the Rockies (NLR)

Today’s resource options, including thermal plants, weather-dependent resources, energy-limited storage, and advanced transmission, have diverse operational characteristics and contributions to reliability. How do economic models–capacity expansion, production cost, and resource adequacy–represent these variations and how can they be used jointly to inform an economically optimal but resource adequate system?

Session 4M: Integrating Economic and Reliability Modeling
Session Chair: Carlo Brancucci, CEO, encoord

Power flow modeling and stability analysis are needed to more-comprehensively assess system reliability but the development of the system portfolios and conditions require use of economic models (e.g., production cost). What are the state of art methods for efficiently linking economic and reliability models to enable examination of multiple snapshots and perform detailed nodal analyses?