Vazlon BESS SLF (ERCOT-28INR0104) — Project Summary

Queue ID
ERCOT-28INR0104
Capacity
—
Technology
Battery
Status
suspended
Location
La Salle, TX
Region
ERCOT
Developer
—
IA Status
—

Vazlon BESS SLF

ERCOT-28INR0104BetaSuspendedBattery StorageERCOTLive · ERCOT

— storage in La Salle, TX

BA: ERCOISO/RTO: ERCOTNERC: TRERC: ERCOT

—

Capacity

0

Components

—

In Queue

—

IA Status

Asset Intelligence Map

One connected view of the asset's ownership, operating or development evidence, grid context, commercial relationships, history, and forward outlook.

4 live dimensions
4 decision models

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Structured from the current asset record; empty data branches are omitted.Locked nodes are InfraSure decision models; no simulated values shown.
Interconnection
Suspended0%
Queue Entry

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

Commercial operation date not yet determined

About

Vazlon BESS SLF is a proposed battery energy storage development project located in La Salle County, Texas. The project is listed in the interconnection queue of the Electric Reliability Council of Texas (ERCOT) under queue identifier ERCOT-28INR0104. It is classified as a storage project using battery storage technology. The available queue data does not specify a developer or total capacity.

The project's interconnection status is listed as suspended within the ERCOT queue. The available data does not include a queue entry date, a proposed commercial operation date, or the status of an interconnection agreement. The project is not linked to an existing operating plant in U.S. Energy Information Administration records, and no recent news coverage of it has been identified.

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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P(COD by stated date)
Withdrawal probability vs cohort
IA cluster risk
Project Details

State

TX

County

La Salle

Grid Region

ERCOT (Texas)

Market

ISO/RTO Member

Developer

—

Utility

—

Entity

ERCOT

Service Type

—

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.

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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. 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.

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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.