GONZAGA WIND FARM (CAISO-1378) — Project Summary

Queue ID
CAISO-1378
Capacity
80 MW
Technology
Wind
Status
active
Location
Merced, CA
Region
CAISO
Developer
IA Status
IA Executed

GONZAGA WIND FARM

CAISO-1378BetaActiveWindCAISOLBNL + Live

80 MW generation in Merced, CA · In queue since May 2017 · Proposed COD March 2026

BA: CISOISO/RTO: CAISONERC: WECCRC: RCW

80 MW

Capacity

1

Components

Wind

9y 2m

In Queue

IA Executed

IA Phase

Signed Oct 2019

Interconnection

Queue → IA

2y 5m

IA → COD

6y 5m

Total Duration

2y 5m

Schedule

3 months past proposed COD

Study Phase

C10

Construction75%
Queue EntryMay 1, 2017

Interconnection request submitted to ISO/RTO

Cluster Study (Phase I/II)

CAISO uses cluster studies where projects are batched annually and studied together.

Typical: 36–48 months (IR to IA)

Interconnection AgreementOct 30, 2019

Interconnection agreement executed — binding commitment to build

Typical: 30–60 days (negotiation)

ConstructionCurrent

Project under construction

Typical: 18–36 months

Commercial Operation

Proposed COD: 2026-03-31

About

The Gonzaga Wind Farm is a proposed 80 MW wind generation project located in Merced County, California. The project is in the California Independent System Operator (CAISO) interconnection queue as queue ID CAISO-1378. Its queue entry date is May 1, 2017, and the proposed commercial operation date is March 31, 2026. The project has an executed Interconnection Agreement (IA) dated October 30, 2019.

The proposed project is interconnected with Pacific Gas & Electric (PGAE) at the Los Banos 70 kV point of interconnection. The Gonzaga Wind Farm has been mentioned in recent news coverage.

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

CA

County

Merced

Grid Region

CAISO (California)

Market

ISO/RTO Member

Developer

Utility

PGAE

Entity

CAISO

Service Type

NRIS

Point of Interconnection

Los Banos 70 kV

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
CAISO
Trading Hub
TH_ZP26_GEN-APND
Hub Confidence
MEDIUM
Nearest Node (Estimated)
SNTANLA_6_N001
POI Substation
Los Banos Substation

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.