Ratcliff Solar (ERCOT-24INR0289) — Project Summary

Queue ID
ERCOT-24INR0289
Capacity
85.74 MW
Technology
Solar
Status
active
Location
Freestone, TX
Region
ERCOT
Developer
Greenalia Solar Power Ratcliff
IA Status
Facility Study

Ratcliff Solar

ERCOT-24INR0289BetaActiveSolarERCOTLBNL + Live

85.74 MW generation in Freestone, TX · In queue since June 2022 · Proposed COD April 2029

BA: ERCOISO/RTO: ERCOTNERC: TRERC: ERCOT

85.74 MW

Capacity

1

Components

Solar

4y 1m

In Queue

Facility Study

IA Phase

COD target: 2029

Interconnection

Total Duration

6y 10m

Facilities Study50%
Queue EntryJun 27, 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: 2029-04-07

About

Ratcliff Solar is a proposed 85.74 MW solar generation project located in Freestone County, Texas. The project, developed by Greenalia Solar Power Ratcliff, is interconnected within the ERCOT region under queue ID ERCOT-24INR0289. It entered the interconnection queue on June 27, 2022, and has a proposed commercial operation date of April 7, 2029. The project's interconnection status is currently in the Facility Study phase.

The proposed project is linked to the existing Ratcliff Solar Park operating plant (EIA ID 67563). Recent news coverage has discussed the project.

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

Freestone

Grid Region

ERCOT (Texas)

Market

ISO/RTO Member

Developer

Greenalia Solar Power Ratcliff

Utility

Entity

ERCOT

Service Type

Point of Interconnection

Tap 138kV 3279 Long Lake Tap Switch - 3280 Long Lake

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.

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_HOUSTON
Hub Confidence
HIGH
Nearest Node (Estimated)
FREC_CC1

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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InfraSure platform

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