SR Doerun (GTC-GI-203) — Project Summary

Queue ID
GTC-GI-203
Capacity
130 MW
Technology
Solar
Status
active
Location
Colquitt, GA
Region
Southeast
Developer
IA Status
System Impact Study

SR Doerun

GTC-GI-203BetaActiveSolarGTCLBNL

130 MW generation in Colquitt, GA · In queue since December 2024 · Proposed COD December 2029

BA: SOCONERC: SERCRC: SOCO

130 MW

Capacity

1

Components

Solar

1y 7m

In Queue

System Impact Study

IA Phase

COD target: 2029

Interconnection

Total Duration

5 years

Impact Study25%
Queue EntryDec 18, 2024

Interconnection request submitted to ISO/RTO

Interconnection StudyCurrent

Project undergoes interconnection studies to assess grid impact.

Typical: 18–36 months

Interconnection Agreement

Interconnection agreement not yet executed

Typical: 30–60 days (negotiation)

Commercial Operation

Proposed COD: 2029-12-31

Cross-source intelligence
Beta
Low confidence·0 sources·as of 2026-06-01
Expected COD
2029-12-31
From queue filing
Developer
Status
Active
Active — early-stage System Impact Study phase, queue entry December 2024
Financing
Unannounced
Key milestones
IA executedDec 2024Most recent

Entered Georgia Transmission Corporation queue for System Impact Study

About

The SR Doerun project is a proposed 130 MW solar generation project located in Colquitt County, Georgia. The project is being developed within the Georgia Transmission (GTC) interconnection queue, identified as GTC-GI-203, with a queue entry date of December 18, 2024. The proposed commercial operation date is December 31, 2029.

The interconnection agreement (IA) for the SR Doerun project is currently listed as "In Progress (unknown study)". The point of interconnection (POI) is the Mitchell - Moultrie 115 kV Line. The project has appeared in recent news coverage regarding solar development in the Southeast region.

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

GA

County

Colquitt

Grid Region

Southeast

Market

Developer

Utility

Georgia Transmission

Entity

GTC

Service Type

Point of Interconnection

Mitchell - Moultrie 115 kV Line

Data Source

LBNL

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.

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
SOUTHEAST
Trading Hub
Southern Company
Hub Confidence
UNKNOWN

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.