Decoding renewable PPA prices in California's energy market

This paper presents novel financial models for computing fixed prices in renewable Power Purchase Agreements (PPAs) in California's energy market. By leveraging closed-form valuation formulas and numerical copulas, the models account for expected electricity spot prices, production-price correlations, and distributional characteristics. Empirical tests on utility-scale solar and wind PPAs (2010–2019) show that these models outperform traditional cost-based approaches, offering a financially fair, transparent, and replicable pricing method. The study fills a critical research gap by formalizing PPA price estimation and providing robust benchmarks for market participants and regulators, thereby enhancing the financial viability and competitiveness of renewable energy investments. The baseline model is extended to consider multi-buyer PPA, price caps, load profiles, and storage.

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Publication Details

Journal
Renewable Energy
Published
2026-01-07
DOI
https://doi.org/10.1016/j.renene.2025.125168
Primary Topic
Electric Power System Optimization
Type
article
Field-Weighted Citation Impact
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article

Decoding renewable PPA prices in California's energy market

Rosa Rodríguez, Silvia Mayoral, Juan Ignacio Peña
Renewable Energy
Electric Power System Optimization
article

Decoding renewable PPA prices in California's energy market

Rosa Rodríguez, Silvia Mayoral, Juan Ignacio Peña
article en

Abstract

This paper presents novel financial models for computing fixed prices in renewable Power Purchase Agreements (PPAs) in California's energy market. By leveraging closed-form valuation formulas and numerical copulas, the models account for expected electricity spot prices, production-price correlations, and distributional characteristics. Empirical tests on utility-scale solar and wind PPAs (2010–2019) show that these models outperform traditional cost-based approaches, offering a financially fair, transparent, and replicable pricing method. The study fills a critical research gap by formalizing PPA price estimation and providing robust benchmarks for market participants and regulators, thereby enhancing the financial viability and competitiveness of renewable energy investments. The baseline model is extended to consider multi-buyer PPA, price caps, load profiles, and storage.

Renewable EnergyVol. 261
Universidad Carlos III de Madrid (ES)
Affordable and clean energy
Openalex Percentile: Top 96%
Electric Power System Optimization
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Decoding renewable PPA prices in California's energy market — Rosa Rodríguez, Silvia Mayoral, et al. · Renewable Energy (2026) | TGRS Research Map | TGRS