LH252W (EPE-LG-23-3-1) — Project Summary

Queue ID
EPE-LG-23-3-1
Capacity
252 MW
Technology
Wind
Status
active
Location
Grant, NM
Region
West
Developer
IA Status
IA Executed

LH252W

EPE-LG-23-3-1BetaActiveWindEPELBNL

252 MW generation in Grant, NM · In queue since March 2023 · Proposed COD April 2027

BA: PNMNERC: WECCRC: RCW

252 MW

Capacity

1

Components

Wind

3y 4m

In Queue

IA Executed

IA Phase

COD target: 2027

Interconnection

Total Duration

4y 1m

Construction75%
Queue EntryMar 14, 2023

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: 18–36 months

Commercial Operation

Proposed COD: 2027-04-30

Cross-source intelligence
Beta
Low confidence·0 sources·as of 2026-06-01
Expected COD
2027-04-30
From queue filing
Developer
Status
Active
Active — IA Executed as of queue filing, no public updates on construction timeline
Financing
Unannounced
Key milestones
IA executed2023Most recent

Interconnection Agreement executed per LBNL queue status

About

The LH252W project is a proposed 252 MW wind generation project located in Grant County, New Mexico. The project is being developed within the El Paso Electric Company (EPE) service area. It is listed in the EPE interconnection queue as entry EPE-LG-23-3-1, with a queue entry date of March 14, 2023, and a proposed commercial operation date of March 31, 2027. The project's interconnection agreement has been executed. The point of interconnection is the Hidalgo-Luna 345 kV line.

The development project consists of 252 MW of wind capacity. It is currently listed as an active project in the interconnection queue.

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.

Available on the InfraSure platform

See the full development-risk decomposition for this project.

P(COD by stated date)
Financing close probability
EPC + tax-equity counterparty
Project Details

State

NM

County

Grant

Grid Region

Mountain West

Market

Developer

Utility

El Paso Electric Company

Entity

EPE

Service Type

ERIS

Point of Interconnection

Hidalgo-Luna 345 kV line

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.

Available on the InfraSure platform

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
Trading Hub
FOURCORNERS
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.