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Mitigating financial risk of corporate power purchase agreements via portfolio optimization

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  • Gabrielli, Paolo
  • Aboutalebi, Reyhaneh
  • Sansavini, Giovanni

Abstract

In a world where corporate sustainability commitments are increasing, and governments are starting to phase out of renewable energy subsidy schemes, renewable power purchase agreements (PPAs) can act as a substitute to the governmental support. The combination of renewable energy projects placed in multiple locations (multi-location) and based on different technologies (multi-technology) has the potential to offset the volatility of single renewable energy projects and the risk associated with them. This paper presents a stochastic optimization framework to maximize the expected financial performance of multi-location and multi-technology PPAs while minimizing the financial risk associated with them, which is defined as the likelihood of having low financial performance, from the corporate off-taker perspective. This is achieved through the assessment and optimization of multi-location and multi-technology PPA portfolios. Conditional value at risk is applied to reduce the risk of low financial performance while preserving high expected financial gains. The developed framework enables the identification of the optimal trade-offs between expected financial performance and financial risk, and of the corresponding optimal configurations of PPA portfolios. The benefits of multi-technology and multi-location on portfolio risk reduction are demonstrated via the application to two PPAs portfolios, namely, one compounding projects with different technologies located in the same country, and one compounding different technologies across different countries. Results show that higher expected financial gains are obtained by investing in the single, most-convenient PPA project, whereas combining projects reduces the overall financial risk and allows to meet the off-taker energy demand profile with higher expected financial performance.

Suggested Citation

  • Gabrielli, Paolo & Aboutalebi, Reyhaneh & Sansavini, Giovanni, 2022. "Mitigating financial risk of corporate power purchase agreements via portfolio optimization," Energy Economics, Elsevier, vol. 109(C).
    • Handle: RePEc:eee:eneeco:v:109:y:2022:i:c:s0140988322001542
    DOI: 10.1016/j.eneco.2022.105980
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    as
    1. Pinheiro Neto, Daywes & Domingues, Elder Geraldo & Coimbra, António Paulo & de Almeida, Aníbal Traça & Alves, Aylton José & Calixto, Wesley Pacheco, 2017. "Portfolio optimization of renewable energy assets: Hydro, wind, and photovoltaic energy in the regulated market in Brazil," Energy Economics, Elsevier, vol. 64(C), pages 238-250.
    2. Aquila, Giancarlo & Coelho, Eden de Oliveira Pinto & Bonatto, Benedito Donizeti & Pamplona, Edson de Oliveira & Nakamura, Wilson Toshiro, 2021. "Perspective of uncertainty and risk from the CVaR-LCOE approach: An analysis of the case of PV microgeneration in Minas Gerais, Brazil," Energy, Elsevier, vol. 226(C).
    3. Hirth, Lion & Mühlenpfordt, Jonathan & Bulkeley, Marisa, 2018. "The ENTSO-E Transparency Platform – A review of Europe’s most ambitious electricity data platform," Applied Energy, Elsevier, vol. 225(C), pages 1054-1067.
    4. Bruck, Maira & Sandborn, Peter & Goudarzi, Navid, 2018. "A Levelized Cost of Energy (LCOE) model for wind farms that include Power Purchase Agreements (PPAs)," Renewable Energy, Elsevier, vol. 122(C), pages 131-139.
    5. Roques, Fabien & Hiroux, Céline & Saguan, Marcelo, 2010. "Optimal wind power deployment in Europe--A portfolio approach," Energy Policy, Elsevier, vol. 38(7), pages 3245-3256, July.
    6. Priscilla Serwaa Nkyira Gambrah & Traian Adrian Pirvu, 2014. "Risk Measures and Portfolio Optimization," JRFM, MDPI, vol. 7(3), pages 1-17, September.
    7. Sonia Jerez & Isabelle Tobin & Robert Vautard & Juan Pedro Montávez & Jose María López-Romero & Françoise Thais & Blanka Bartok & Ole Bøssing Christensen & Augustin Colette & Michel Déqué & Grigory Ni, 2015. "The impact of climate change on photovoltaic power generation in Europe," Nature Communications, Nature, vol. 6(1), pages 1-8, December.
    8. Muñoz, José Ignacio & Sánchez de la Nieta, Agustín A. & Contreras, Javier & Bernal-Agustín, José L., 2009. "Optimal investment portfolio in renewable energy: The Spanish case," Energy Policy, Elsevier, vol. 37(12), pages 5273-5284, December.
    9. Gabrielli, Paolo & Wüthrich, Moritz & Blume, Steffen & Sansavini, Giovanni, 2022. "Data-driven modeling for long-term electricity price forecasting," Energy, Elsevier, vol. 244(PB).
    10. Jackson, Jerry, 2010. "Promoting energy efficiency investments with risk management decision tools," Energy Policy, Elsevier, vol. 38(8), pages 3865-3873, August.
    11. López Prol, Javier & Steininger, Karl W. & Zilberman, David, 2020. "The cannibalization effect of wind and solar in the California wholesale electricity market," Energy Economics, Elsevier, vol. 85(C).
    12. Chaiken, Benjamin & Duggan, Joseph E. & Sioshansi, Ramteen, 2021. "Paid to produce absolutely nothing? A Nash-Cournot analysis of a proposed power purchase agreement," Energy Policy, Elsevier, vol. 156(C).
    13. Staffell, Iain & Pfenninger, Stefan, 2016. "Using bias-corrected reanalysis to simulate current and future wind power output," Energy, Elsevier, vol. 114(C), pages 1224-1239.
    14. Tranberg, Bo & Hansen, Rasmus Thrane & Catania, Leopoldo, 2020. "Managing volumetric risk of long-term power purchase agreements," Energy Economics, Elsevier, vol. 85(C).
    15. Schmidt, Johannes & Cancella, Rafael & Pereira, Amaro O., 2016. "An optimal mix of solar PV, wind and hydro power for a low-carbon electricity supply in Brazil," Renewable Energy, Elsevier, vol. 85(C), pages 137-147.
    16. Mendicino, Luca & Menniti, Daniele & Pinnarelli, Anna & Sorrentino, Nicola, 2019. "Corporate power purchase agreement: Formulation of the related levelized cost of energy and its application to a real life case study," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    17. Pfenninger, Stefan & Staffell, Iain, 2016. "Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data," Energy, Elsevier, vol. 114(C), pages 1251-1265.
    18. Bruck, Maira & Sandborn, Peter, 2021. "Pricing bundled renewable energy credits using a modified LCOE for power purchase agreements," Renewable Energy, Elsevier, vol. 170(C), pages 224-235.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

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    2. Xingyu Dai & Dongna Zhang & Chi Keung Marco Lau & Qunwei Wang, 2023. "Multiobjective portfolio optimization: Forecasting and evaluation under investment horizon heterogeneity," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2167-2196, December.
    3. Thomaidis, Nikolaos S. & Christodoulou, Theodoros & Santos-Alamillos, Francisco J., 2023. "Handling the risk dimensions of wind energy generation," Applied Energy, Elsevier, vol. 339(C).
    4. Marios Stanitsas & Konstantinos Kirytopoulos, 2023. "Sustainable Energy Strategies for Power Purchase Agreements (PPAs)," Sustainability, MDPI, vol. 15(8), pages 1-19, April.
    5. Szymon Słotwiński, 2022. "The Significance of the “Power Purchase Agreement” for the Development of Local Energy Markets in the Theoretical Perspective of Polish Legal Conditions," Energies, MDPI, vol. 15(18), pages 1-14, September.
    6. Rahmani, Amir & Mashayekh, Javad & Aboojafari, Roohallah & Bonyadi Naeini, Ali, 2023. "Determinants of households' intention for investment in renewable energy projects," Renewable Energy, Elsevier, vol. 205(C), pages 823-837.

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