PHOTON SOLAR REPOWERING (ERCOT-26INR0718) — Project Summary

Queue ID
ERCOT-26INR0718
Capacity
Technology
Solar
Status
active
Location
Wharton, TX
Region
ERCOT
Developer
GulfStar Power, LLC
IA Status

PHOTON SOLAR REPOWERING

ERCOT-26INR0718BetaActiveSolarPhotovoltaic SolarERCOTLive · ERCOT

generation in Wharton, TX · In queue since October 2025 · Proposed COD May 2027

BA: ERCOISO/RTO: ERCOTNERC: TRERC: ERCOT

Capacity

0

Components

9 months

In Queue

IA Status

Signed Feb 2021

Interconnection

IA → COD

6y 3m

Total Duration

9 months

Construction0%
Queue EntryOct 13, 2025

Interconnection request submitted to ISO/RTO

Interconnection Study

ERCOT uses a serial "connect and manage" approach — fastest among major ISOs.

Typical: 18–30 months (fastest major ISO)

Interconnection AgreementFeb 25, 2021

Interconnection agreement executed — binding commitment to build

Typical: 30–60 days (negotiation)

ConstructionCurrent

Project under construction

Typical: 12–24 months

Commercial Operation

Proposed COD: 2027-05-17

About

The PHOTON SOLAR REPOWERING project is a proposed solar generation project with a queue entry date of October 13, 2025, in the ERCOT interconnection queue (queue ID ERCOT-26INR0718). Located in Wharton County, Texas, the project is being developed by GulfStar Power, LLC. The proposed commercial operation date is May 17, 2027.

The project has an interconnection agreement date of February 25, 2021. The point of interconnection is the 44880 Waterh_POI_5 345kV. The project is currently listed as active in the interconnection queue.

Generated from interconnection queue and public data sources

Development Risk

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.

Available on the InfraSure platform

See the full development-risk decomposition for this project.

P(COD by stated date)
Withdrawal probability vs cohort
IA cluster risk
Project Details

State

TX

County

Wharton

Grid Region

ERCOT (Texas)

Market

ISO/RTO Member

Developer

GulfStar Power, LLC

Utility

Entity

ERCOT

Service Type

Point of Interconnection

44880 Waterh_POI_5 345kV

Data Source

Live · ERCOT

Risk Analytics

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.

Available on the InfraSure platform

See the full risk decomposition + scenarios for this project.

Climate hazards (8+)
Generation variability (P10/P50/P90)
Offtake + transmission counterparty
Generation Forecast

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.

Available on the InfraSure platform

See the full forecast + scenario decomposition for this project.

P50 conditioned on COD
Capacity factor vs cohort
Weather + policy scenarios
Financial Forecast

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.

Available on the InfraSure platform

See the full revenue + DSCR projection for this project.

Revenue conditioned on COD
Financing close risk
Cohort DSCR comparison
Market Context
Approximate
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.

No insights available for this project.
InfraSure platform

Forward forecasts, scenario decomposition, and risk-decision tooling for this queue project.