Starling Solar (ERCOT-24INR0440) — Project Summary

Queue ID
ERCOT-24INR0440
Capacity
144 MW
Technology
Solar+Battery
Status
active
Location
Gonzales, TX
Region
ERCOT
Developer
Starling Solar, LLC
IA Status
Facility Study

Starling Solar

ERCOT-24INR0440BetaActiveSolarBatteryERCOTLBNL + Live

144 MW hybrid in Gonzales, TX · In queue since October 2022 · Proposed COD January 2028

BA: ERCOISO/RTO: ERCOTNERC: TRERC: ERCOT

144 MW

Capacity

1

Components

Solar

3y 7m

In Queue

Facility Study

IA Phase

COD target: 2028

Interconnection

Total Duration

5y 3m

Facilities Study50%
Queue EntryOct 6, 2022

Interconnection request submitted to ISO/RTO

Interconnection StudyCurrent

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

Typical: 18–30 months (fastest major ISO)

Interconnection Agreement

Interconnection agreement not yet executed

Typical: 30–60 days (negotiation)

Commercial Operation

Proposed COD: 2028-01-28

About

Starling Solar Phase II is a proposed solar generation project located in Gonzales County, Texas, with a total capacity of 43.56 MW. The project, developed by Starling Solar, LLC, is in the ERCOT interconnection queue as entry ERCOT-24INR0440, with a queue entry date of October 6, 2022. The proposed commercial operation date is January 28, 2028, and the project's interconnection agreement status is currently "Facility Study".

The project's point of interconnection (POI) is at the tap 138kV 7224 Luling - 7245 Gonzales. According to the interconnection queue record, Starling Solar Phase II is an addition of 42.24 MW to the 23INR0035 (solar) project filed in 2020, and is also related to project 23INR0181 (storage) filed in 2021.

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.

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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

Gonzales

Grid Region

ERCOT (Texas)

Market

ISO/RTO Member

Developer

Starling Solar, LLC

Utility

Entity

ERCOT

Service Type

Point of Interconnection

138-kV Birdhouse (7255) Starling Solar Phase II is a an addition of 42.24MW to the 23INR0035 (solar) filed in 2020. 23INR0181 (storage) was filed in 2021.

Data Source

LBNL + Live

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.

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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.

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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_SOUTH
Hub Confidence
MEDIUM
POI Substation
Luling Magnolia Substation

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.

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