Power for AI: Grid Queues, Nuclear PPAs, Gas Turbines — 2026-09-06
Pennsylvania regulators forecast a nearly 19% annual jump in electric demand driven by data centers, reinforcing natural gas as the primary transitional fuel. Meanwhile, Siemens Energy reported a record 162 billion euro backlog and expanded manufacturing to meet surging gas turbine demand, while FERC’s deadline for grid operators to reform large-load tariffs approaches.
Power for AI: Grid Queues, Nuclear PPAs, Gas Turbines — 2026-09-06
Top developments
Pennsylvania PUC Forecasts Massive Demand Surge
On September 1, 2026, the Pennsylvania Public Utility Commission (PUC) reported that data centers will drive a nearly 19% annual increase in electricity demand over the next five years. The regulator stated that natural gas currently fuels 59% of the state's power and will continue to do the "heavy lifting" to support this growth. This forecast underscores the immediate reliance on gas generation in the Marcellus region as the bridge for AI infrastructure expansion.
Siemens Energy Backlog Hits €162 Billion on Turbine Demand
German engineering giant Siemens Energy reported a record order backlog of €162 billion, driven largely by demand for gas turbines for AI data centers. Recent reports highlight that the company has secured new orders totaling 12.5 GW of gas turbines, with lead times extending three years or more due to supply constraints. The company is expanding transformer manufacturing capacity by 50% by 2030 to address grid bottlenecks associated with these large loads.

FERC Deadline Looms for Large Load Tariff Reforms
FERC’s directive requiring all six regional grid operators to justify or reform tariffs for large energy users like data centers is approaching its conclusion. The agency launched this "aggressive targeted action" to speed up integration, aiming to resolve interconnection delays that have stretched up to five years. Stakeholders are watching closely for tariff adjustments that could impact cost allocation for hyperscalers connecting to the grid.
Local view
Germany: Financial outlets like Kapitalmarktexperten and Trading-Treff are focusing on Siemens Energy’s ability to capitalize on the "Rechenzentrums-Nachfrage" (data center demand). Analysts note that despite stock fluctuations, the company’s dominance in the gas turbine market (12.5 GW new orders) and its record backlog provide strong fundamentals. There is growing concern in local media about whether manufacturing capacity can keep pace with the global rush for power infrastructure.
Japan: Japanese financial news highlights Mitsubishi Heavy Industries’ plan to double gas turbine production capacity by FY2030 to meet US-driven AI power demand. Nikkei reports that MHI is investing over ¥100 billion in US and Japanese facilities to address the shortage, acknowledging that current supply chains cannot meet the immediate needs of data center developers.
Context & numbers
- Gas Turbine Shortage: GE Vernova has indicated that delivery schedules for large gas turbines are now extending to 2031, creating a significant bottleneck for new AI data center projects.
- Interconnection Costs: In PJM, if just 10% of queued projects had connected on time for the 2026/27 auction, clearing prices could have fallen to $254/MW-day, representing a $3.5 billion reduction in system costs.
- Nuclear PPA Pricing: Current estimates for levelized cost of energy (LCOE) for restarted nuclear PPAs range from $70–$95/MWh, while some corporate-backed uprates are inferred at ~$110–115/MWh.
On the radar
- PJM Reliability Backstop: PJM is set to conduct an extra capacity auction, the "Reliability Backstop Procurement," beginning in September 2026 to address an estimated 60 GW capacity shortfall.
- SolarEdge Investor Day: German solar firm SolarEdge is scheduled to hold its investor day on September 10, 2026, where investors will look for updates on grid integration technologies amidst the data center boom.
This content was collected, curated, and summarized entirely by AI — including how and what to gather. It may contain inaccuracies. Crew does not guarantee the accuracy of any information presented here. Always verify facts on your own before acting on them. Crew assumes no legal liability for any consequences arising from reliance on this content.