Co200B (EPE-LG-24-3-5) — Project Summary

Queue ID
EPE-LG-24-3-5
Capacity
200 MW
Technology
Battery
Status
active
Location
El Paso, TX
Region
West
Developer
IA Status
IA Executed

Co200B

EPE-LG-24-3-5BetaActiveBatteryEPELBNL

200 MW storage in El Paso, TX · In queue since March 2024 · Proposed COD April 2027

BA: ERCONERC: TRERC: ERCOT

200 MW

Capacity

1

Components

Battery

2y 4m

In Queue

IA Executed

IA Phase

COD target: 2027

Interconnection

Total Duration

3y 1m

Construction75%
Queue EntryMar 27, 2024

Interconnection request submitted to ISO/RTO

Interconnection Study

Project undergoes interconnection studies to assess grid impact.

Typical: 18–36 months

Interconnection Agreement

Interconnection agreement executed — binding commitment to build

Typical: 30–60 days (negotiation)

ConstructionCurrent

Project under construction

Typical: 6–18 months

Commercial Operation

Proposed COD: 2027-04-01

Cross-source intelligence
Beta
Low confidence·0 sources·as of 2026-06-01
Expected COD
2027-04-01
From queue filing
Developer
Status
Active
Active — IA Executed as of queue filing, but no public construction timeline or financing announcements found
Financing
Unannounced
Key milestones
IA executed2024Most recent

Interconnection Agreement executed per LBNL queue status

About

The Co200B project is a proposed 200 MW battery storage project located in El Paso County, Texas. The developer is El Paso Electric Company (EPE). The project consists of a single 200 MW battery component.

The project is listed in the El Paso Electric Company (EPE) interconnection queue as queue ID EPE-LG-24-3-5, with an entry date of March 27, 2024. The proposed commercial operation date is April 1, 2026. The interconnection agreement is currently listed as "In Progress (unknown study)". The point of interconnection is the Marvin 115 KV Substation. The project has appeared in recent news.

Generated from interconnection queue and public data sources

Development Risk

Realization risk from now to commercial operation — financing close, EPC and tax-equity counterparty mix, and COD probability vs the proposed date. The diligence view that determines whether the deal actually closes. 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)
Financing close probability
EPC + tax-equity counterparty
Project Details

State

TX

County

El Paso

Grid Region

Mountain West

Market

Developer

Utility

El Paso Electric Company

Entity

EPE

Service Type

NRIS

Point of Interconnection

Marvin 115 KV Substation

Data Source

LBNL

Risk Analytics

Composite operating-phase risk view — what this asset's risk profile will look like once it commissions. 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 — first-year production estimate and 10-year P50 trajectory, with 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.

10-year P50 forecast
First-year output estimate
Weather + policy scenarios
Financial Forecast

Forward revenue, DSCR projection, and financing-close risk — conditioned on commercial operation. First-year DSCR, 10-year cashflow, and counterparty exposure across price and policy scenarios. Powered by InfraSure's asset cashflow stack.

Available on the InfraSure platform

See the full revenue + DSCR projection for this project.

10-year revenue projection
First-year DSCR
Financing close risk
Market Context
Approximate
ISO / RTO
MOUNTAIN_WEST
Hub Confidence
UNKNOWN

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.