Goonumbla Solar Farm (GOONSF1)

Solar · Goonumbla Asset Co Pty Ltd as trustee for the Goonumbla Asset Trust · Solar PV - Single axis tracking

Operational AEMO: In Service NSW1 Solar - Solar NEM data · 24 hours
70 MW
Registered nameplate capacity
24 hours revenue
$4.1k
Capacity factor
9.6%
Revenue / MWh
$25.81
Est. SRMC
$0.25/MWh

Energy flow

Dispatch target (cleared) vs availability — 5‑minute intervals. NSW1 regional price (RRP) on right axis.

Key information
Capacity
70 MW

AEMO status In Service
Project status Operational (AI)

FRV project page and pv magazine Australia (2020–2021) describe Goonumbla as completed/fully operational.

Region NSW1
Coordinates -33.43100, 148.22000 (AI)

FRV/Goonumbla project pages state the site is approximately 10 km west of Parkes, NSW; precise coordinates not published in the provided results.

MLF 0.8888
DUID GOONSF1
Owner Goonumbla Asset Co Pty Ltd as trustee for the Goonumbla Asset Trust
Commissioned Nov 2021
Expected closure 2050
Closure date
Technology Solar PV - Single axis tracking
Fuel Solar - Solar
Module OEM Astronergy
Module / inverter supplier CHINT Solar
Inverter OEM Sungrow
Inverter model
Equipment confidence medium
Stats window
13 Jun 2026 08:45 → 14 Jun 2026 08:45 AEST

Dispatch & revenue

13 Jun 2026 08:45 → 14 Jun 2026 08:45 AEST

Energy revenue (× MLF)
$4.1k
FCAS revenue (× MLF)
$0
FCAS volume
MWh
Dispatched
160.4 MWh
Available
159.5 MWh
Curtailed
MWh
Curtailment
0.0%
of available
MLF used
0.8888
end of period

Revenue (× MLF)

Estimated $ per interval — energy (RRP) and FCAS (regional FCAS prices), both × MLF.

Methodology & assumptions

  • Dispatch & availability — AEMO Next Day Dispatch UNIT_SOLUTION (5‑minute intervals). Intervention intervals excluded.
  • Regional pricedispatch_price RRP matched by settlement time and NEM region (from generator registry).
  • Energy revenue (× MLF) — cleared MW × (5/60 h) × RRP × MLF.
  • FCAS revenue & volume — cleared FCAS MW from DISPATCHLOAD (raise/lower 6s, 60s, 5min, reg) × (5/60 h) × regional FCAS price × MLF. Volume is total FCAS enablement MWh across services.
  • Curtailment — estimated economic curtailment when availability exceeds dispatch target: max(0, availability − cleared) × (5/60) MWh.
  • Not settlement — estimates only. AEMO settlement applies DLF, rebids, constraints, and other factors not modelled here.
MLF history (AEMO daily)
Effective fromMLF
2024-07-01 0.8969
2025-07-01 0.8888

Financial overview

2026 real AUD. Monetary values are CPI-adjusted to 2026 real Australian dollars. Greenfield capex uses AEMO benchmarks when plant-specific cost is unknown.
Type
Solar (tracking)
Capacity
70 MW
Revenue (× MLF) (stats)
See dispatch stats link above
Est. SRMC
$0.25/MWh
Capex total (greenfield)
$95.65M

Shown in table
$95.65M (2026 real AUD)

Reported / source value
$90.68M (2024 nominal)
Adjusted to 2026 real AUD using Australian CPI (All Groups).

Capex refurbishment
Capex / MW derived
$1,371,308

Shown in table
$1.37M (2026 real AUD)

Reported / source value
$1.30M (2024 nominal)
Adjusted to 2026 real AUD using Australian CPI (All Groups).

Fixed OPEX (annual)
Fixed OPEX / MW-yr default
$20,000

Shown in table
$20.0k (2026 real AUD)

Variable OPEX / MWh default
$0.25

Shown in table
$0.25 (2026 real AUD)

Fuel cost / GJ
Heat rate GJ/MWh

Confidence: low · Status: ai estimated · Capex basis: default · AI checked 08 Jun 2026

Notes
I found a project-specific greenfield capital cost in the planning-stage environmental assessment, but it was for an early 150 MWpeak concept with a preliminary total cost of about $223.5 million, not the final 69.75 MWac registered plant. I did not use it as the plant capex because it does not clearly match the commissioned DUID capacity. FRV sources confirm the project size (69.75 MWac/68.7 MWac), single-axis tracking, construction in 2019-2020, and operation from 2020, but they do not disclose a final project-specific investment total for the commissioned plant. O&M and other operating assumptions were not found in source-backed plant-specific form, so I left them blank rather than infer from benchmarks.

Sources