Project BPA-G0920 — Project Summary

Queue ID
BPA-G0920
Capacity
800 MW
Technology
Solar+Battery
Status
active
Location
Benton, WA
Region
West
Developer
IA Status
In Progress (unknown study)

BPA-G0920

BPA-G0920BetaActiveSolarBatteryBPALBNL

800 MW hybrid in Benton, WA · In queue since August 2023 · Proposed COD January 2027

BA: BPATNERC: WECCRC: RCW

800 MW

Capacity

2

Components

Solar + Battery

2y 11m

In Queue

In Progress (unknown study)

IA Phase

COD target: 2027

Interconnection

Total Duration

3y 5m

Study Phase

Transition Cluster

In Study38%
Queue EntryAug 28, 2023

Interconnection request submitted to ISO/RTO

Interconnection StudyCurrent

Project undergoes interconnection studies to assess grid impact.

Typical: 18–36 months

Interconnection Agreement

Interconnection agreement not yet executed

Typical: 30–60 days (negotiation)

Commercial Operation

Proposed COD: 2027-01-06

About

BPA-G0920 is a proposed 800 MW hybrid solar and battery project located in Benton County, Washington. The project, which combines 500 MW of solar generation with 300 MW of battery energy storage, is in the Bonneville Power Administration (BPA) interconnection queue, with an entry date of August 28, 2023. The proposed commercial operation date is January 6, 2027.

The interconnection agreement for BPA-G0920 is currently listed as "In Progress (unknown study)". The point of interconnection is the Ashe-Slatt No 1 500kV line. This development project has appeared in recent news coverage regarding energy projects in the Pacific Northwest.

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.

Available on the InfraSure platform

See the full development-risk decomposition for this project.

P(COD by stated date)
Withdrawal probability vs cohort
IA cluster risk
Project Details

State

WA

County

Benton

Grid Region

Mountain West

Market

Developer

Utility

Entity

BPA

Service Type

NRIS/ERIS

Point of Interconnection

Ashe-Slatt No 1 500kV line

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
Technology
Solar500 MW · 63%
Battery300 MW · 38%
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.

Available on the InfraSure platform

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
MOUNTAIN_WEST
Trading Hub
MID-C
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.

No insights available for this project.
InfraSure platform

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