Buzios BESS SLF (ERCOT-29INR0021) — Project Summary

Queue ID
ERCOT-29INR0021
Capacity
Technology
Battery
Status
active
Location
Motley, TX
Region
ERCOT
Developer
Buzios Energy Storage, LLC
IA Status

Buzios BESS SLF

ERCOT-29INR0021BetaActiveOtherBattery Energy StorageERCOTLive · ERCOT

hybrid in Motley, TX · In queue since April 2025 · Proposed COD July 2029

BA: ERCOISO/RTO: ERCOTNERC: TRERC: ERCOT

Capacity

0

Components

1y 3m

In Queue

IA Status

COD target: 2029

Interconnection

Total Duration

4y 3m

Pre-Study0%
Queue EntryApr 8, 2025

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: 2029-07-01

About

The Buzios BESS SLF project is a proposed hybrid energy project in Motley County, Texas, being developed by Buzios Energy Storage, LLC. This project, consisting of battery energy storage, has a queue entry date of April 8, 2025, in the ERCOT interconnection queue under queue ID ERCOT-29INR0021. The proposed commercial operation date is July 1, 2029.

The project is currently listed as active in the queue. It is planned to interconnect at Tap 345kV 59904 Cottonwood - 23922 White River Ckt 2. The total capacity of the battery component is not specified in the available data. The project has appeared in recent news coverage.

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

Motley

Grid Region

ERCOT (Texas)

Market

ISO/RTO Member

Developer

Buzios Energy Storage, LLC

Utility

Entity

ERCOT

Service Type

Point of Interconnection

Tap 345kV 59904 Cottonwood - 23922 White River Ckt 2

Data Source

Live · ERCOT

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
MEDIUM
POI Substation
Cottonwood Creek Substation

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 insights available for this project.
InfraSure platform

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