ON-DEMAND WEBINAR

Powering the AI Data Center Buildout:
Siting, Interconnection, and Capital Risk
for Gigawatt-Scale Loads

 

Gigawatt-scale AI data centers are reshaping power markets. ERCOT and PJM face unprecedented interconnection queues, capacity adequacy questions, and capital allocation risks as developers race to secure sites and power supply. Without rigorous modeling, utilities risk stranded assets, developers face deal failure, and ratepayers shoulder unplanned costs.

Join Energy Exemplar and KPMG for a practical look at how simulation-grade analysis and financial strategy combine to de-risk data center siting, interconnection, and PPA decisions. Energy Exemplar brings PLEXOS-driven insights into queue dynamics, locational pricing, and capacity planning under high-load-growth scenarios. KPMG adds the regulatory, tariff, and deal-structuring perspective that boards and CFOs require.

You'll learn:

  • How interconnection queues shape siting decisions: Understand the backlog in ERCOT and PJM, what it means for project timelines, and how to model queue-clearing scenarios.
  • What high-load growth means for capacity and pricing: See how gigawatt-scale demand affects capacity adequacy, locational marginal prices, and transmission constraints.
  • How large-load tariffs allocate risk: Explore tariff structures that shift cost and reliability obligations across developers, utilities, and ratepayers.
  • How co-optimized capacity expansion modeling de-risks decisions: Learn how PLEXOS integrates generation, transmission, and load-growth scenarios to inform siting, contracting, and investment strategy.
  • Real-world application from a market participant: Hear how utilities and developers are using this analysis to navigate one of the most complex planning challenges in decades.

Speakers:

Andrew Higgins, Director of Strategy and Interconnection, KPMG
Joe Nyangon, VP of Solutions- AMER, Energy Exemplar
Tarek Ibrahim, Head of Advanced Analytics, Energy Exemplar
Alexander Macleod, Senior Energy Market Analyst, Energy Exemplar

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