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Price and subsidy under uncertainty: Real-option approach to optimal investment decisions on energy storage with solar PV

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  • Jingyu Qu
  • Wooyoung Jeon

Abstract

Renewable generation sources still have not achieved economic validity in many countries including Korea, and require subsidies to support the transition to a low-carbon economy. An initial Feed-In Tariff (FIT) was adopted to support the deployment of renewable energy in Korea until 2011 and then was switched to the Renewable Portfolio Standard (RPS) to implement more market-oriented mechanisms. However, high volatilities in electricity prices and subsidies under the RPS scheme have weakened investment incentives. In this study we estimate how the multiple price volatilities under the RPS scheme affect the optimal investment decisions of energy storage projects, whose importance is increasing rapidly because they can mitigate the variability and uncertainty of solar and wind generation in the power system. We applied mathematical analysis based on real-option methods to estimate the optimal trigger price for investment in energy-storage projects with and without multiple price volatilities. We found that the optimal trigger price of subsidy called the Renewable Energy Certificate (REC) under multiple price volatilities is 10.5% higher than that under no price volatilities. If the volatility of the REC price gets doubled, the project requires a 26.6% higher optimal investment price to justify the investment against the increased risk. In the end, we propose an auction scheme that has the advantage of both RPS and FIT in order to minimize the financial burden of the subsidy program by eliminating subsidy volatility and find the minimum willingness-to-accept price for investors.

Suggested Citation

  • Jingyu Qu & Wooyoung Jeon, 2022. "Price and subsidy under uncertainty: Real-option approach to optimal investment decisions on energy storage with solar PV," Energy & Environment, , vol. 33(2), pages 263-282, March.
  • Handle: RePEc:sae:engenv:v:33:y:2022:i:2:p:263-282
    DOI: 10.1177/0958305X21992291
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    1. Pindyck, Robert S., 2002. "Optimal timing problems in environmental economics," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1677-1697, August.
    2. Lee, Hyoungsuk & Choi, Yongrok & Seo, Hyungjun, 2020. "Comparative analysis of the R&D investment performance of Korean local governments," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    3. Henao, Felipe & Rodriguez, Yeny & Viteri, Juan Pablo & Dyner, Isaac, 2019. "Optimising the insertion of renewables in the Colombian power sector," Renewable Energy, Elsevier, vol. 132(C), pages 81-92.
    4. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    5. Robert S. Pindyck, 1999. "The Long-Run Evolutions of Energy Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-27.
    6. Zhang, Mingming & Zhou, Dequn & Zhou, Peng, 2014. "A real option model for renewable energy policy evaluation with application to solar PV power generation in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 944-955.
    7. Jabeen, Gul & Yan, Qingyou & Ahmad, Munir & Fatima, Nousheen & Jabeen, Maria & Li, Heng & Qamar, Shoaib, 2020. "Household-based critical influence factors of biogas generation technology utilization: A case of Punjab province of Pakistan," Renewable Energy, Elsevier, vol. 154(C), pages 650-660.
    8. Walsh, D.M. & O'Sullivan, K. & Lee, W.T. & Devine, M.T., 2014. "When to invest in carbon capture and storage technology: A mathematical model," Energy Economics, Elsevier, vol. 42(C), pages 219-225.
    9. Ali, Fahad & Ahmar, Muhammad & Jiang, Yuexiang & AlAhmad, Mohammad, 2021. "A techno-economic assessment of hybrid energy systems in rural Pakistan," Energy, Elsevier, vol. 215(PA).
    10. Pringles, Rolando & Olsina, Fernando & Garcés, Francisco, 2015. "Real option valuation of power transmission investments by stochastic simulation," Energy Economics, Elsevier, vol. 47(C), pages 215-226.
    11. Bøckman, Thor & Fleten, Stein-Erik & Juliussen, Erik & Langhammer, Håvard J. & Revdal, Ingemar, 2008. "Investment timing and optimal capacity choice for small hydropower projects," European Journal of Operational Research, Elsevier, vol. 190(1), pages 255-267, October.
    12. Somayeh Heydari & Nick Ovenden & Afzal Siddiqui, 2012. "Real options analysis of investment in carbon capture and sequestration technology," Computational Management Science, Springer, vol. 9(1), pages 109-138, February.
    13. Barbry, Adrien & Anjos, Miguel F. & Delage, Erick & Schell, Kristen R., 2019. "Robust self-scheduling of a price-maker energy storage facility in the New York electricity market," Energy Economics, Elsevier, vol. 78(C), pages 629-646.
    14. Zhou, Wenji & Zhu, Bing & Chen, Dingjiang & Zhao, Fangxian & Fei, Weiyang, 2014. "How policy choice affects investment in low-carbon technology: The case of CO2 capture in indirect coal liquefaction in China," Energy, Elsevier, vol. 73(C), pages 670-679.
    15. Lin, Boqiang & Wesseh, Presley K., 2013. "Valuing Chinese feed-in tariffs program for solar power generation: A real options analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 474-482.
    16. Alvarado, Rafael & Deng, Qiushi & Tillaguango, Brayan & Méndez, Priscila & Bravo, Diana & Chamba, José & Alvarado-Lopez, María & Ahmad, Munir, 2021. "Do economic development and human capital decrease non-renewable energy consumption? Evidence for OECD countries," Energy, Elsevier, vol. 215(PB).
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