🇦🇺Australia

Underperformance Revenue Shortfall

2 verified sources

Definition

Power curve verification assures investor returns; failures mean turbines produce below guaranteed levels, with disputes blocking OEM compensation.

Key Findings

  • Financial Impact: 1-2% AEP loss = AUD 1-3M/year per 100MW farm (at AUD 80/MWh); bias in power modeling up to 5-10%
  • Frequency: Ongoing until warranty enforced
  • Root Cause: Inaccurate free-stream wind data and generic power curve assumptions

Why This Matters

The Pitch: Wind farms in Australia 🇦🇺 bleed AUD 2-5M yearly from 1-2% power curve shortfalls. Real-time verification unlocks full capacity revenue.

Affected Stakeholders

Investors, Farm operators, AEMO forecasters

Deep Analysis (Premium)

Financial Impact

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Current Workarounds

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Methodology & Sources

Data collected via OSINT from regulatory filings, industry audits, and verified case studies.

Evidence Sources:

Related Business Risks

Warranty Claim Disputes

AUD 1-5M per wind farm in lost annual energy revenue (at 1-2% AEP shortfall); AUD 200k-500k testing costs per campaign

Testing Campaign Overruns

AUD 200k+ per test campaign (equipment, shipping, 3-6 months lead time); 20-40% overrun on rushed installs

Manual Labour Costs in Bird Bat Carcass Surveys

AUD 40-100 hours per quarterly survey at AUD 100/hour per searcher (multiple turbines)

Curtailment-Driven Energy Production Losses from Bat Monitoring

AUD 50,000-500,000 annual revenue loss per farm from 5-20% reduced capacity factor during curtailment periods

Blade Repair Cost Overruns

AUD 50,000+ per campaign in exceeded budgets due to delays

Turbine Downtime from Blade Failures

AUD 10,000+ per day per turbine in lost generation

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