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Financial analysis of utility scale photovoltaic plants with battery energy storage

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  • Rudolf, Viktor
  • Papastergiou, Konstantinos D.

Abstract

Battery energy storage is a flexible and responsive form of storing electrical energy from Renewable generation. The need for energy storage mainly stems from the intermittent nature of solar and wind energy sources. System integrators are investigating ways to design plants that can provide more stable output power without compromising the financial performance that is vital for investors. Network operators on the other side set stringent requirements for the commissioning of new generation, including preferential terms for energy providers with a well-defined generation profile. The aim of this work is to highlight the market and technology drivers that impact the feasibility of battery energy storage in a Utility-scale solar PV project. A simulation tool combines a battery cycling and lifetime model with a solar generation profile and electricity market prices. The business cases of the present market conditions and a projected future scenario are analyzed.

Suggested Citation

  • Rudolf, Viktor & Papastergiou, Konstantinos D., 2013. "Financial analysis of utility scale photovoltaic plants with battery energy storage," Energy Policy, Elsevier, vol. 63(C), pages 139-146.
    • Handle: RePEc:eee:enepol:v:63:y:2013:i:c:p:139-146
    DOI: 10.1016/j.enpol.2013.08.025
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    Citations

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    Cited by:

    1. Kim, James Hyungkwan & Mills, Andrew D. & Wiser, Ryan & Bolinger, Mark & Gorman, Will & Crespo Montañes, Cristina & O'Shaughnessy, Eric, 2021. "Project developer options to enhance the value of solar electricity as solar and storage penetrations increase," Applied Energy, Elsevier, vol. 304(C).
    2. Paulo Rotella Junior & Luiz Célio Souza Rocha & Sandra Naomi Morioka & Ivan Bolis & Gianfranco Chicco & Andrea Mazza & Karel Janda, 2021. "Economic Analysis of the Investments in Battery Energy Storage Systems: Review and Current Perspectives," Energies, MDPI, vol. 14(9), pages 1-29, April.
    3. Kaschub, Thomas & Jochem, Patrick & Fichtner, Wolf, 2016. "Solar energy storage in German households: profitability, load changes and flexibility," Energy Policy, Elsevier, vol. 98(C), pages 520-532.
    4. Wonchang Hur & Yongma Moon & Kwangsup Shin & Wooje Kim & Suchul Nam & Kijun Park, 2015. "Economic Value of Li-ion Energy Storage System in Frequency Regulation Application from Utility Firm’s Perspective in Korea," Energies, MDPI, vol. 8(6), pages 1-18, May.
    5. Shcherbakova, Anastasia & Kleit, Andrew & Cho, Joohyun, 2014. "The value of energy storage in South Korea’s electricity market: A Hotelling approach," Applied Energy, Elsevier, vol. 125(C), pages 93-102.
    6. Berrada, Asmae, 2022. "Financial and economic modeling of large-scale gravity energy storage system," Renewable Energy, Elsevier, vol. 192(C), pages 405-419.
    7. Luo, Xing & Wang, Jihong & Dooner, Mark & Clarke, Jonathan, 2015. "Overview of current development in electrical energy storage technologies and the application potential in power system operation," Applied Energy, Elsevier, vol. 137(C), pages 511-536.
    8. Byuk-Keun Jo & Gilsoo Jang, 2019. "An Evaluation of the Effect on the Expansion of Photovoltaic Power Generation According to Renewable Energy Certificates on Energy Storage Systems: A Case Study of the Korean Renewable Energy Market," Sustainability, MDPI, vol. 11(16), pages 1-17, August.
    9. Yongma Moon, 2014. "Optimal Time to Invest Energy Storage System under Uncertainty Conditions," Energies, MDPI, vol. 7(4), pages 1-19, April.
    10. Higgins, Andrew & Grozev, George & Ren, Zhengen & Garner, Stephen & Walden, Glenn & Taylor, Michelle, 2014. "Modelling future uptake of distributed energy resources under alternative tariff structures," Energy, Elsevier, vol. 74(C), pages 455-463.

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