Project LGE-KU-LGE-GIS-2019-025 — Project Summary

Queue ID
LGE-KU-LGE-GIS-2019-025
Capacity
99 MW
Technology
Solar
Status
active
Location
Mercer, KY
Region
Southeast
Developer
IA Status
IA Executed

LGE-KU-LGE-GIS-2019-025

LGE-KU-LGE-GIS-2019-025BetaActiveSolarLGE-KULBNL

99 MW generation in Mercer, KY · In queue since May 2019 · Proposed COD October 2026

BA: PJMNERC: SERCRC: MISO

99 MW

Capacity

1

Components

Solar

7y 2m

In Queue

IA Executed

IA Phase

COD target: 2026

Interconnection

Total Duration

7y 5m

Construction75%
Queue EntryMay 2, 2019

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: 12–24 months

Commercial Operation

Proposed COD: 2026-10-01

About

LGE-KU-LGE-GIS-2019-025 is a proposed solar generation project with a total capacity of 98.42 MW. The project is located in Mercer County, Kentucky, within the Southeast region. The developer is Louisville Gas & Electric and Kentucky Utilities Energy (LGE-KU). It entered the LGE-KU interconnection queue on May 2, 2019, and has a proposed commercial operation date of October 1, 2026. The project's interconnection agreement (IA) has been executed. The point of interconnection (POI) is the Bardstown - Brown CT 138 kV Line.

The proposed project consists of 98.42 MW of solar photovoltaic generation. It is currently listed as "active" 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

KY

County

Mercer

Grid Region

Southeast

Market

Developer

Utility

Louisville Gas & Electric and Kentucky Utilities Energy

Entity

LGE-KU

Service Type

NRIS

Point of Interconnection

Bardstown - Brown CT 138 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
SOUTHEAST
Trading Hub
TVA
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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InfraSure platform

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