SolarFairfield (ISO-NE-1087) — Project Summary

Queue ID
ISO-NE-1087
Capacity
18.139999 MW
Technology
Solar
Status
active
Location
Somerset, ME
Region
ISO-NE
Developer
IA Status
IA Executed

SolarFairfield

ISO-NE-1087BetaActiveSolarISO-NELBNL + Live

18.14 MW generation in Somerset, ME · In queue since December 2020 · Proposed COD June 2027

BA: ISISO/RTO: ISONENERC: NPCCRC: ISNE

18.14 MW

Capacity

1

Components

Solar

5y 7m

In Queue

IA Executed

IA Phase

Signed Aug 2024

Interconnection

Queue → IA

3y 8m

IA → COD

2y 10m

Total Duration

3y 8m

Construction75%
Queue EntryDec 17, 2020

Interconnection request submitted to ISO/RTO

TCS Study

ISO-NE is transitioning to cluster studies per FERC Order 2023.

Typical: 25–30 months (recent)

Interconnection AgreementAug 9, 2024

Interconnection agreement executed — binding commitment to build

Typical: 30–60 days (negotiation)

ConstructionCurrent

Project under construction

Typical: 12–24 months

Commercial Operation

Proposed COD: 2027-06-30

About

The SolarFairfield project is a proposed 18.14 MW solar generation facility in Somerset County, Maine. The project is listed in the ISO-NE interconnection queue as queue ID ISO-NE-1087, with an interconnection queue entry date of December 17, 2020. The proposed commercial operation date is June 30, 2027, and the Interconnection Agreement (IA) has been executed.

The proposed project, to be located at the New Rice Rips 34.5 kV Substation in Oakland, Maine, consists of 18.14 MW of solar photovoltaic generation. The project is currently active in the ISO-NE queue. Recent news coverage has discussed the project.

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

ME

County

Somerset

Grid Region

ISO New England

Market

ISO/RTO Member

Developer

Utility

Entity

ISO-NE

Service Type

ERIS

Point of Interconnection

New Rice Rips 34.5 kV Substation in Oakland Maine

Data Source

LBNL + Live

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
ISO-NE
Trading Hub
.Z.MAINE
Hub Confidence
HIGH
POI Substation
Substation 1

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.