Maldives Solar (Oncor POI) (ERCOT-25INR0234) — Project Summary

Queue ID
ERCOT-25INR0234
Capacity
184 MW
Technology
Solar
Status
suspended
Location
Scurry, TX
Region
ERCOT
Developer
IA Status

Maldives Solar (Oncor POI)

ERCOT-25INR0234BetaSuspendedSolarERCOTLBNL

184 MW generation in Scurry, TX · In queue since December 2022 · Proposed COD July 2026

BA: ERCOISO/RTO: ERCOTNERC: TRERC: ERCOT

184 MW

Capacity

1

Components

Solar

3y 5m

In Queue

IA Status

COD target: 2026

Interconnection

Total Duration

3y 7m

Suspended0%
Queue EntryDec 6, 2022

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 Agreement

Interconnection agreement not yet executed

Typical: 30–60 days (negotiation)

Commercial Operation

Proposed COD: 2026-07-01

About

The Maldives Solar project is a proposed 184 MW solar generation project located in Scurry County, Texas. The project is listed in the ERCOT interconnection queue as entry ERCOT-25INR0234, with a queue entry date of December 7, 2022. The project's status is currently listed as suspended.

The development project is planned to consist of 184 MW of solar photovoltaic generation capacity. No developer is listed in the provided data. The proposed commercial operation date and interconnection agreement (IA) status are not available. The project has not appeared in recent news coverage, nor is it linked to an existing operating plant in the EIA database.

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

Scurry

Grid Region

ERCOT (Texas)

Market

ISO/RTO Member

Developer

Utility

Entity

ERCOT

Service Type

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.

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 news available for this project.

No Ask reports yet for this entity.

Ask about Maldives Solar (Oncor POI)
InfraSure platform

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