Gulf Gateway Solar One
301.4 MW generation in San Patricio, TX · In queue since April 2025 · Proposed COD June 2027
301.4 MW
Capacity
0
Components
1y 1m
In Queue
—
IA Status
COD target: 2027
Total Duration
2y 2m
Interconnection request submitted to ISO/RTO
ERCOT uses a serial "connect and manage" approach — fastest among major ISOs.
Typical: 18–30 months (fastest major ISO)
Interconnection agreement not yet executed
Typical: 30–60 days (negotiation)
Proposed COD: 2027-06-24
Forward-looking exposure analytics for this queue project — climate hazards, expected generation variability, counterparty risk — into a single decision-grade view. Powered by InfraRisk.
See the full risk decomposition + scenarios for this project.
Gulf Gateway Solar One is a proposed solar generation project located in San Patricio County, Texas. The project, developed by Gulf Gateway Solar, LLC, has a total capacity of 301.4 MW. It is interconnected within the ERCOT region under queue ID ERCOT-27INR0492, with an interconnection queue entry date of April 21, 2025. The proposed commercial operation date is June 24, 2027.
The Gulf Gateway Solar One project has been featured in recent news coverage related to the energy industry.
Generated from interconnection queue and public data sources
State
TX
County
San Patricio
Grid Region
ERCOT (Texas)
Market
ISO/RTO Member
Developer
Gulf Gateway Solar, LLC
Utility
—
Entity
ERCOT
Service Type
—
Point of Interconnection
88249 SDI7A 345kV
Data Source
Live · ERCOT
Forward-looking generation outlook for this queue project with probabilistic ranges across weather, demand, and policy scenarios. Powered by InfraSure's generation modeling stack.
See the full forecast + scenario decomposition for this project.
Forward revenue, DSCR bands, and refinancing risk for this queue project, projected under price, demand, and policy scenarios. Powered by InfraSure's asset cashflow stack.
See the full revenue + DSCR projection for this project.
- ISO / RTO
- ERCOT
- Trading Hub
- HB_NORTH
- Hub Confidence
- LOW
This project's market context is estimated from its Point of Interconnection. Hub and node assignments are approximate and based on geographic inference from the POI substation name.
Forward forecasts, scenario decomposition, and risk-decision tooling for this queue project.