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Risk-based optimization of the debt service schedule in renewable energy project finance

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  • Firouzi, Afshin
  • Meshkani, Ali

Abstract

Project finance is used in capital intensive renewable energy projects worldwide. Financial entities such as large banks and institutional investors are active in providing syndicated loans for infrastructure projects and compete to offer better terms to the sponsors of these projects. The literature is full of research on capital structure optimization. We propose a novel stochastic framework for optimizing the debt service schedule with due regard to the probability of default of the project company. The applicability of the proposed method is demonstrated for a 10 MW solar photovoltaic project employing a genetic algorithm (GA) as the optimization tool. The NASA SSE dataset is used to collect irradiation data, and PVsyst software is employed to simulate the performance of the project. The uncertainties are accounted for using Monte Carlo simulation, and the revenue generated, its corresponding free cash flow and the debt service coverage ratio are simulated as random variables. The proposed optimization framework enables lenders to offer an optimized debt service that maximizes the shareholder's profitability index. A particle swarm optimization is also employed to validate the stability and usefulness of GA optimization.

Suggested Citation

  • Firouzi, Afshin & Meshkani, Ali, 2021. "Risk-based optimization of the debt service schedule in renewable energy project finance," Utilities Policy, Elsevier, vol. 70(C).
    • Handle: RePEc:eee:juipol:v:70:y:2021:i:c:s095717872100031x
    DOI: 10.1016/j.jup.2021.101197
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    1. Mazzucato, Mariana & Semieniuk, Gregor, 2018. "Financing renewable energy: Who is financing what and why it matters," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 8-22.
    2. Pacudan, Romeo, 2016. "Implications of applying solar industry best practice resource estimation on project financing," Energy Policy, Elsevier, vol. 95(C), pages 489-497.
    3. Zhang, Xi & Li, Jian, 2018. "Credit and market risks measurement in carbon financing for Chinese banks," Energy Economics, Elsevier, vol. 76(C), pages 549-557.
    4. Marco Sorge, 2004. "The nature of credit risk in project finance," BIS Quarterly Review, Bank for International Settlements, December.
    5. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    6. Chan, C.M. & Bai, H.L. & He, D.Q., 2018. "Blade shape optimization of the Savonius wind turbine using a genetic algorithm," Applied Energy, Elsevier, vol. 213(C), pages 148-157.
    7. S. Ping Ho & Liang Liu, 2002. "An option pricing-based model for evaluating the financial viability of privatized infrastructure projects," Construction Management and Economics, Taylor & Francis Journals, vol. 20(2), pages 143-156.
    8. Stefano Gatti & Alvaro Rigamonti & Francesco Saita & Mauro Senati, 2007. "Measuring Value‐at‐Risk in Project Finance Transactions," European Financial Management, European Financial Management Association, vol. 13(1), pages 135-158, January.
    9. Hao, Yong & Li, Wenjia & Tian, Zhenyu & Campana, Pietro Elia & Li, Hailong & Jin, Hongguang & Yan, Jinyue, 2018. "Integration of concentrating PVs in anaerobic digestion for biomethane production," Applied Energy, Elsevier, vol. 231(C), pages 80-88.
    10. Steffen, Bjarne, 2018. "The importance of project finance for renewable energy projects," Energy Economics, Elsevier, vol. 69(C), pages 280-294.
    11. Polzin, Friedemann, 2017. "Mobilizing private finance for low-carbon innovation – A systematic review of barriers and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 525-535.
    12. Florian Egli & Bjarne Steffen & Tobias S. Schmidt, 2018. "A dynamic analysis of financing conditions for renewable energy technologies," Nature Energy, Nature, vol. 3(12), pages 1084-1092, December.
    13. Han, Xiaojuan & Zhang, Hua & Yu, Xiaoling & Wang, Lina, 2016. "Economic evaluation of grid-connected micro-grid system with photovoltaic and energy storage under different investment and financing models," Applied Energy, Elsevier, vol. 184(C), pages 103-118.
    14. Ye, Liang-Cheng & Rodrigues, João F.D. & Lin, Hai Xiang, 2017. "Analysis of feed-in tariff policies for solar photovoltaic in China 2011–2016," Applied Energy, Elsevier, vol. 203(C), pages 496-505.
    15. Manbachi, Moein & Farhangi, Hassan & Palizban, Ali & Arzanpour, Siamak, 2016. "Smart grid adaptive energy conservation and optimization engine utilizing Particle Swarm Optimization and Fuzzification," Applied Energy, Elsevier, vol. 174(C), pages 69-79.
    16. Steven Chu & Arun Majumdar, 2012. "Opportunities and challenges for a sustainable energy future," Nature, Nature, vol. 488(7411), pages 294-303, August.
    17. Borgonovo, Emanuele & Gatti, Stefano, 2013. "Risk analysis with contractual default. Does covenant breach matter?," European Journal of Operational Research, Elsevier, vol. 230(2), pages 431-443.
    18. Al-Sulttani, Ali O. & Ahsan, Amimul & Hanoon, Ammar N. & Rahman, A. & Daud, N.N.N. & Idrus, S., 2017. "Hourly yield prediction of a double-slope solar still hybrid with rubber scrapers in low-latitude areas based on the particle swarm optimization technique," Applied Energy, Elsevier, vol. 203(C), pages 280-303.
    19. Frederic Blanc‐Brude & Roger Strange, 2007. "How Banks Price Loans to Public‐Private Partnerships: Evidence from the European Markets," Journal of Applied Corporate Finance, Morgan Stanley, vol. 19(4), pages 94-106, September.
    20. Mariano,Roberto & Schuermann,Til & Weeks,Melvyn J. (ed.), 2000. "Simulation-based Inference in Econometrics," Cambridge Books, Cambridge University Press, number 9780521591126.
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