Rock District Solar (NYISO-564) — Project Summary

Queue ID
NYISO-564
Capacity
20 MW
Technology
Solar
Status
active
Location
Schoharie, NY
Region
NYISO
Developer
Rock District Solar, LLC
IA Status
Facility Study

Rock District Solar

NYISO-564BetaActiveSolarNYISOLBNL

20 MW generation in Schoharie, NY · In queue since July 2016 · Proposed COD February 2027

BA: NYISISO/RTO: NYISONERC: NPCCRC: NYIS

20 MW

Capacity

1

Components

Solar

10 years

In Queue

Facility Study

IA Phase

Signed Jul 2020

Interconnection

Queue → IA

4 years

IA → COD

6y 7m

Total Duration

4 years

Construction50%
Queue EntryJul 25, 2016

Interconnection request submitted to ISO/RTO

TCS Study

NYISO transitioned to a Transitional Cluster Study (TCS) format in 2024.

Typical: >42 months (historical); ~24 months target

Interconnection AgreementJul 10, 2020

Interconnection agreement executed — binding commitment to build

Typical: 30–60 days (negotiation)

ConstructionCurrent

Project under construction

Typical: 12–24 months

Commercial Operation

Proposed COD: 2027-02-01

About

Rock District Solar is a proposed 20 MW solar generation project located in Schoharie County, New York. Developed by Rock District Solar, LLC, the project is interconnected within the New York Independent System Operator (NYISO) queue as entry NYISO-564, filed on July 25, 2016. The proposed commercial operation date is February 1, 2027. Its interconnection status is currently in the Facility Study phase, with point of interconnection at the Sharon - Cobleskill 69kV line.

The project consists of 20 MW of solar photovoltaic generation. Recent news coverage has discussed the development project.

Generated from interconnection queue and public data sources

Development Risk

Realization risk before commercial operation — cluster-study clearance, IA timing, counterparty mix, and withdrawal probability vs cohort. The diligence view that determines whether this project is worth pursuing. 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)
Withdrawal probability vs cohort
IA cluster risk
Project Details

State

NY

County

Schoharie

Grid Region

NYISO (New York)

Market

ISO/RTO Member

Developer

Rock District Solar, LLC

Utility

NM-NG

Entity

NYISO

Service Type

Point of Interconnection

Sharon - Cobleskill 69kV

Data Source

LBNL

Risk Analytics

Composite operating-phase risk view — what this asset's risk profile would look like once it reaches commercial operation. 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 — what this project would produce assuming it reaches commercial operation. Probabilistic ranges (P10/P50/P90) across weather, demand, and policy scenarios, conditioned on the proposed COD. Powered by InfraSure's generation modeling stack.

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See the full forecast + scenario decomposition for this project.

P50 conditioned on COD
Capacity factor vs cohort
Weather + policy scenarios
Financial Forecast

Forward revenue, DSCR projection, and financing-close risk — conditioned on commercial operation. The bankability view that determines whether the deal clears its covenants once online. Powered by InfraSure's asset cashflow stack.

Available on the InfraSure platform

See the full revenue + DSCR projection for this project.

Revenue conditioned on COD
Financing close risk
Cohort DSCR comparison
Market Context
Approximate
ISO / RTO
NYISO
Trading Hub
ZONE E
Hub Confidence
HIGH
POI Substation
Sharon

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.