CSU-CSUT-2025-7
412 MW generation in El Paso, CO · In queue since March 2025 · Proposed COD March 2028
412 MW
Capacity
1
Components
Gas
1y 2m
In Queue
System Impact Study
IA Phase
COD target: 2028
Total Duration
3 years
Interconnection request submitted to ISO/RTO
Project undergoes interconnection studies to assess grid impact.
Typical: 18–36 months
Interconnection agreement not yet executed
Typical: 30–60 days (negotiation)
Proposed COD: 2028-03-15
Realization risk before commercial operation — cluster-study clearance, IA timing, counterparty mix, and withdrawal probability vs cohort. The diligence view that determines whether this project is worth pursuing. Powered by InfraSure's development-stage modeling stack.
See the full development-risk decomposition for this project.
State
CO
County
El Paso
Grid Region
Mountain West
Market
—
Developer
—
Utility
Colorado Springs Utilities
Entity
CSU
Service Type
NRIS/ERIS
Point of Interconnection
Horizon Substation
Data Source
LBNL
Composite operating-phase risk view — what this asset's risk profile would look like once it reaches commercial operation. Climate hazards across its operating life, expected generation variability, and offtake counterparty exposure, decomposed into a single decision-grade score. Powered by InfraRisk.
See the full risk decomposition + scenarios for this project.
Forward generation outlook — what this project would produce assuming it reaches commercial operation. Probabilistic ranges (P10/P50/P90) across weather, demand, and policy scenarios, conditioned on the proposed COD. Powered by InfraSure's generation modeling stack.
See the full forecast + scenario decomposition for this project.
Forward revenue, DSCR projection, and financing-close risk — conditioned on commercial operation. The bankability view that determines whether the deal clears its covenants once online. Powered by InfraSure's asset cashflow stack.
See the full revenue + DSCR projection for this project.
No Ask reports yet for this entity.
Ask about Project CSU-CSUT-2025-7Forward forecasts, scenario decomposition, and risk-decision tooling for this queue project.
