Las Moras Battery (ERCOT-23INR0284) — Project Summary

Queue ID
ERCOT-23INR0284
Capacity
101 MW
Technology
Battery
Status
active
Location
Kinney, TX
Region
ERCOT
Developer
Las Moras Storage, LLC
IA Status
Facility Study

Las Moras Battery

ERCOT-23INR0284BetaActiveBatteryERCOTLBNL + Live

101 MW storage in Kinney, TX · In queue since June 2021 · Proposed COD July 2029

BA: ERCOISO/RTO: ERCOTNERC: TRERC: ERCOT

101 MW

Capacity

1

Components

Battery

5y 1m

In Queue

Facility Study

IA Phase

COD target: 2029

Interconnection

Total Duration

8y 1m

Facilities Study50%
Queue EntryJun 7, 2021

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: 2029-07-01

Cross-source intelligence
Beta
Low confidence·4 sources·as of 2026-06-01
Expected COD
Jul 2029
From queue filing
Developer
Las Moras Storage, LLC
From queue filing
Status
Active
Active — Facility Study stage, no interconnection agreement yet. Third-party trackers estimate 5% build probability given early study phase.
Financing
Unannounced
About

The Las Moras Battery project is a proposed 101 MW battery storage project located in Kinney County, Texas. Developed by Las Moras Storage, LLC, the project entered the ERCOT interconnection queue as entry ERCOT-23INR0284 on June 7, 2021. Currently in the Facility Study phase of interconnection, the project has a proposed commercial operation date of July 1, 2029.

The project consists of 101 MW of battery storage capacity. It is interconnected at the 8252 Brackett 138kV point of interconnection. The Las Moras Battery project has appeared in recent news coverage regarding energy storage development in Texas.

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

Kinney

Grid Region

ERCOT (Texas)

Market

ISO/RTO Member

Developer

Las Moras Storage, LLC

Utility

Entity

ERCOT

Service Type

Point of Interconnection

8252 Brackett 138kV

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.

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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.

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