Business Interruption Loss Calculations in Minutes, Not Weeks

A data-driven approach for one of the most inefficient processes in the wind industry resulting in delayed payments and operational burden.

Ihsancan Ozpoyraz
Ihsancan Ozpoyraz
Head of Growth

In the high-stakes world of wind energy, downtime isn't merely operational disruption – it's financial bleeding. When assets fail, the costs extend far beyond repair expenses. The more worrying drain comes from business interruption losses – the revenue that evaporates while turbines stand idle.

The wind energy sector has made remarkable technological strides, yet its insurance processes remain curiously archaic. Mainstream insurance sectors like automotive and healthcare leverage individual-specific data – driving behavior, medical records – to make key decisions. Yet, wind energy insurance remains stuck in outdated practices, relying on generic industry benchmarks like “X turbines fail more often” instead of knowledge that is specific to the turbines to be insured.

Nowhere is this inefficiency more evident than in business interruption claims processing. Asset owners recognize the scenario: a turbine fails, and what follows is weeks of data extraction, spreadsheet exchanges and extended negotiations with insurers or loss adjusters over the precise financial impact.

From Weeks to Minutes: A Case Study in Transformation

What if this process could be compressed from weeks to minutes? Our recent deployment with a major wind farm operator demonstrated precisely this transformation. Following a critical failure, Kavaken's Business Interruption Loss Calculation module delivered an assessment within a few minutes that matched the loss adjuster's final calculation to within 1% accuracy – a calculation that took 5 weeks to complete the “traditional way”.

The calculator's precision stems from its ability to analyze operational data that already exists but typically remains siloed during critical claim periods. Rather than relying on neighboring turbines for approximate calculations, we determine losses based on the power curve characteristics of the specific turbine pre-failure – creating a precise financial baseline against which to measure losses.

Benefits Beyond Speed for Asset Owners

For wind farm operators, the advantages extend well beyond faster calculations:

  • Enhanced cash flow: Settlement funds arrive when they're needed most, not months later
  • Reduced administrative burden and streamlined data management: Your operations and asset management teams focus on restoration rather than claims documentation and data exchange
  • Negotiation leverage: Data-backed claims leave little room for subjective interpretation by loss adjusters
  • Immediate financial clarity: Know exactly what to expect from your claim within hours of an incident
  • Less dependency on external expertise: No more educating inexperienced loss adjusters about wind power dynamics

A Single Source of Truth

Kavaken operates as the single source of reliable and immediate data for renewable energy insurance interactions. This is particularly valuable given the insurance industry's shortage of renewable energy experts who can properly analyze data and provide reliable insights about losses.

By applying the same data-driven approach that revolutionized automotive and health insurance products to wind energy, allowing interpreting high volumes of asset-specific data in a scalable way, Kavaken is making wind farms as insurable as cars or people.

Key Takeaways 

In an industry where margins matter and every day of delayed compensation impacts operations, Kavaken's insurance use cases don't just accelerate claims – they transform the fundamental relationship between asset owners and insurers from adversarial to collaborative, based on shared, objective data, further contributing to our goal of making wind energy more profitable.

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