Power Purchase Agreements (PPAs) are essential for financing renewable energy projects, providing revenue stability while exposing investors to market volatility and operational risks. Assessing their financial performance requires a structured approach that considers market evolution, price volatility, production variability, and contract design. Thus, a quantitative framework for evaluating solar PPAs under different market conditions is proposed through Monte Carlo simulations and risk assessment techniques. The model analyzes key contract types, such as Pay-as-Produced and Baseload types, quantifying their financial performance through indicators like Internal Rate of Return, Value at Risk, and Expected Shortfall. A case study on the Italian market illustrates how geography, pricing structures, and coverage levels influence PPA outcomes. The findings provide key insights for investors and developers, supporting data-driven decision-making in structuring renewable energy contracts.

Advanced Quantitative Assessment Methodology for Power Purchase Agreements Contracts

Giulio Emanuele Casa;Valentin Ilea;Riccardo Nebuloni;
2025-01-01

Abstract

Power Purchase Agreements (PPAs) are essential for financing renewable energy projects, providing revenue stability while exposing investors to market volatility and operational risks. Assessing their financial performance requires a structured approach that considers market evolution, price volatility, production variability, and contract design. Thus, a quantitative framework for evaluating solar PPAs under different market conditions is proposed through Monte Carlo simulations and risk assessment techniques. The model analyzes key contract types, such as Pay-as-Produced and Baseload types, quantifying their financial performance through indicators like Internal Rate of Return, Value at Risk, and Expected Shortfall. A case study on the Italian market illustrates how geography, pricing structures, and coverage levels influence PPA outcomes. The findings provide key insights for investors and developers, supporting data-driven decision-making in structuring renewable energy contracts.
2025
2025 21st International Conference on the European Energy Market (EEM)
9798331512781
Monte Carlo simulations, power purchase agreements, renewable energy resources, risk management.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1300248
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