Financial Modelling for Offshore Wind Projects: A Deep Dive 🌍📊

In the evolving energy landscape, offshore wind represents a pivotal segment in global decarbonisation strategies. Crafting a robust financial model for these projects is vital—balancing complex capex structures, revenue volatility, and long-term financing. As financial modellers, we need both precision and flexibility. Here’s how to approach it: ⚙️


1. Project Overview & Inputs

Start by defining key project parameters:

  • Capacity & Layout: e.g., 300 MW, 50 turbines, average turbine ~6 MW.
  • Construction Timeline: est. 2–3 years with phased commissioning.
  • Key Inputs: turbine CAPEX (~€1.2 m/MW offshore), OPEX escalations, grid connection timing.
  • Resource Data: capacity factor (typically 40–50%), degradation (~0.5%/yr), and power curve.

A well-structured assumptions tab—with named ranges—improves transparency and usability during sensitivity and scenario analysis. 🧾


2. Revenue & Power Pricing 💰

Offshore wind revenues come through:

  • PPA Contracts: Fixed EUR/MWh rates, often rising with inflation.
  • Merchant Exposure: Spot pricing during non-PPA periods.

Revenue projection should break down:

  • MWh generation × tariff
  • Merchant revenue & balancing costs
  • Subsidies like CfDs or green certificates

Include a P50/P90 generation profile to model stochastic weather-driven output. This enables NPV/IRR sensitivity analysis under different resource scenarios. 📉


3. Capex, Opex & Capital Structure 🏗️

Key drivers include:

  • Upfront Capex: turbines, foundations, installation vessels, cabling.
  • Finance Structure: leverage typically 60–70% debt with 15–20‑yr tenor.
  • Opex Schedule: maintenance outages, vessel charters, asset management, insurance.

In your model:

  • Set up a debt schedule with interest, principal payments, DSR buffers, covenant checks.
  • Allow parameters for moratorium periods or ICR triggers.
  • Include reserve accounts for maintenance and debt service. 🧮

4. Cash Flow & Debt Metrics 📊

Build monthly/quarterly cash flows during construction ramp-up:

  • Construction Cash Flow → ramp-up to operation
  • Operating Cash Flow → revenue less Opex and finance costs
  • Free Cash Flow → post-debt and taxes

Core KPIs: DSCR, LLCR, PLCR, Project IRR, Equity IRR, debt repayment timeframe. These metrics support financing negotiations and bankability assessments. 💹


5. Sensitivity & Scenario Analysis 🧪

Use structured tools:

  • Data tables: two-way sensitivity on tariff vs. capacity factor
  • Goal-seek/macros: to find debt level achieving DSCR covenant limit
  • Scenarios: Base, Upside (high Cf, low costs), Downside (low tariff, delays)

Visual dashboards summarise generation profiles, debt balances, and DSCRs over key periods. 📈


6. Risk Management & ESG Integration 🌱

Offshore projects face specific risks:

  • Construction delays, transport logistics, O&M hell-hour windows
  • Address these via time-lag buffers and contingency funds in your model.

ESG variables can be embedded:

  • Environmental metrics (e.g., GHG displaced)
  • Social benefits (e.g., local job creation)
  • Governance flags (e.g., robust procurement policies)

These factors enhance investor transparency and align with ESG frameworks. 🛡️


7. Reporting & Investor Communication 🗣️

Your financial model should output:

  • Waterfall charts showing return allocation between LPs/GPs
  • Sensitivity heat maps
  • Executive summary: LCOE, IRR bands, NPV, DSCR thresholds
  • CAP table and sources/uses matrix

Clarity in presentation builds confidence among stakeholders and lenders. 🧠


Conclusion

Building a financial model for offshore wind blends financial theory with structural insight. As financial modellers, our goal is to:

  • Ensure bankability via robust debt-service metrics
  • Embed ESG elements for broader stakeholder buy-in
  • Offer scenario flexibility for dynamic decision‑making 🌱

A well-built model does more than calculate—it guides strategy, informs negotiations, and drives sustainable growth. 🚀


Next Steps for Practitioners:

  • Implement a modular Excel structure: assumptions → cash flows → financing → outputs
  • Integrate P50/P90 data and tariff sensitivity
  • Use macros or goal-seek for automatic covenant compliance check

🔧 Bonus: if you need a practitioner-grade model for wind, check out the Wind Energy Project Finance Model on Eloquens: https://www.eloquens.com/tool/AylasVGm/finance/wind-energy-project-finance/wind-energy-project-finance-model?ref=finteam


For finance teams, developers, or investors aiming to develop offshore wind portfolios, a rigorous financial model is the cornerstone of strategic decision‑making. Feel free to connect if you’d like to discuss model templates, debt structures, or ESG integration strategies. 🤝


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