Project Duke-898999 — Project Summary

Queue ID
Duke-898999
Capacity
199.9 MW
Technology
Battery
Status
active
Location
Robeson, NC
Region
Southeast
Developer
Masked
IA Status
IA Executed

Duke-898999

Duke-898999BetaActiveBatteryDukeLBNL

199.9 MW storage in Robeson, NC · In queue since June 2023

BA: CPLENERC: SERCRC: VACS

199.9 MW

Capacity

1

Components

Battery

3y 1m

In Queue

IA Executed

IA Phase

Interconnection

Total Duration

3y 1m

Study Phase

2023 DISIS

Construction75%
Queue EntryJun 28, 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: 6–18 months

Commercial Operation

Commercial operation date not yet determined

Cross-source intelligence
Beta
Low confidence·0 sources·as of 2026-06-01
Expected COD
Developer
Status
Active
Active — IA Executed as of queue filing, but no public information on construction timeline or current project status
Financing
Unannounced
Key milestones
IA executed2023Most recent

Interconnection Agreement executed per LBNL queue status

About

Duke-898999 is a proposed 199.9 MW battery storage project located in Robeson County, North Carolina. The developer is masked. The project is interconnected with Duke Energy Progress and is in the Duke Energy interconnection queue, with an entry date of June 28, 2023. Its interconnection status is currently in the Cluster Study phase. The point of interconnection is the Weatherspoon Plant Station.

This development project consists solely of battery storage, with a total capacity of 199.9 MW.

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

NC

County

Robeson

Grid Region

Southeast

Market

Developer

Masked

Utility

Duke Energy Progress

Entity

Duke

Service Type

NRIS/ERIS

Point of Interconnection

Weatherspoon Plant Station

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
SOUTHEAST
Trading Hub
Duke Carolinas
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.