Lytton Springs BESS (ERCOT-27INR0585) — Project Summary

Queue ID
ERCOT-27INR0585
Capacity
76.4 MW
Technology
Solar+Battery
Status
active
Location
Caldwell, TX
Region
ERCOT
Developer
SMT Lytton Springs LLC
IA Status
Facility Study

Lytton Springs BESS

ERCOT-27INR0585BetaActiveBatteryBatteryERCOTLBNL + Live

76.4 MW generation in Caldwell, TX · In queue since December 2025 · Proposed COD December 2029

BA: ERCOISO/RTO: ERCOTNERC: TRERC: ERCOT

76.4 MW

Capacity

1

Components

Battery

7 months

In Queue

Facility Study

IA Phase

COD target: 2029

Interconnection

Total Duration

4 years

Facilities Study50%
Queue EntryDec 2, 2025

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: 2029-12-01

About

The Lytton Springs BESS project is a proposed 76.4 MW hybrid battery energy storage project located in Caldwell County, Texas. Developed by SMT Lytton Springs LLC, the project is interconnected to the ERCOT grid under queue ID ERCOT-27INR0585. The project entered the interconnection queue on December 2, 2025, with a proposed commercial operation date of December 1, 2029.

The Lytton Springs BESS project is a hybrid facility that includes battery energy storage. The point of interconnection is the Lytton Springs (#9074) – Fayette Plant (#7055) 345 kV Line. The project has appeared in recent news.

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

Caldwell

Grid Region

ERCOT (Texas)

Market

ISO/RTO Member

Developer

SMT Lytton Springs LLC

Utility

Entity

ERCOT

Service Type

Point of Interconnection

Lytton Springs (#9074) – Fayette Plant (#7055) 345 kV Line

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_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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InfraSure platform

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