PJM-AI2-210
4.6 MW generation in Hunterdon, NJ · In queue since March 2023 · Proposed COD March 2023
4.6 MW
Capacity
1
Components
Solar
3y 2m
In Queue
In Progress (unknown study)
IA Status
COD target: 2023
Total Duration
<1 month
Schedule
38 months past proposed COD
Interconnection request submitted to ISO/RTO
PJM processes interconnection requests through multi-phase System Impact Studies (SIS).
Typical: ~48 months (historically longest)
Interconnection agreement not yet executed
Typical: 30–60 days (negotiation)
Proposed COD: 2023-03-29
Forward-looking exposure analytics for this queue project — climate hazards, expected generation variability, counterparty risk — into a single decision-grade view. Powered by InfraRisk.
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The proposed project PJM-AI2-210 is a 4.6 MW solar generation project located in Hunterdon County, New Jersey. The project is interconnected to the Jersey Central Power & Light (JCPL) system and is in the PJM interconnection queue as of March 3, 2023. The proposed commercial operation date is March 29, 2023.
The project's interconnection agreement status is listed as "In Progress (unknown study)". The point of interconnection (POI) is the Ringoes-US Bronze 34kV substation. The project is listed as active in the interconnection queue.
Generated from interconnection queue and public data sources
State
NJ
County
Hunterdon
Grid Region
PJM Interconnection
Market
ISO/RTO Member
Developer
—
Utility
JCPL
Entity
PJM
Service Type
—
Point of Interconnection
Ringoes-US Bronze 34kV
Data Source
LBNL + Live
Forward-looking generation outlook for this queue project with probabilistic ranges across weather, demand, and policy scenarios. Powered by InfraSure's generation modeling stack.
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Forward revenue, DSCR bands, and refinancing risk for this queue project, projected under price, demand, and policy scenarios. Powered by InfraSure's asset cashflow stack.
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- ISO / RTO
- PJM
- Trading Hub
- WESTERN HUB
- Hub Confidence
- MEDIUM
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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