IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i17p7139-d407338.html
   My bibliography  Save this article

Managing Wind Turbine Generators with a Profit Maximized Approach

Author

Listed:
  • Dominik McInnis

    (Alpiq AG, Chemin de Mornex 10, 1003 Lausanne, Switzerland
    École Polytechnique Fédérale de Lausanne, EPFL EMBA Program, Odyssea Building, Route Cantonale—Avenue Forel, 1015 Lausanne, Switzerland)

  • Massimiliano Capezzali

    (School of Management and Engineering Vaud (HEIG-VD), Institute for Energy and Electrical Systems, 1401 Yverdon-les-Bains, Switzerland)

Abstract

In Europe, at least 3 GW installed capacity of wind turbine generators (WTG) will fall out of subsidy schemes every year from 2021 onwards. An estimated 50% of this capacity cannot be replaced with new WTG due to commercial and legal restrictions. The remaining options are either to sell the electricity without subsidies on the wholesale electricity market—a novelty for most WTG, as most are receiving a feed-in tariff—or their dismantlement. Since the electricity market fixes the price at the intersection of demand and short run marginal production costs, WTG might struggle to generate enough revenues to cover their costs. This paper proposes an innovative commercialization strategy for WTG after the end of the feed-in tariff, namely a profit-maximized approach that focuses on synergies between revenues and costs when increasing the curtailments of the WTG. The two key elements of this approach are a more flexible and variable cost structure and a central overall optimization process. The paper proves the potential of this new strategy and highlights the necessity of further research for WTG at the end of their lifetime from a technical and commercial perspective, due to the impact on the initial investment decision and best allocation of subsides.

Suggested Citation

  • Dominik McInnis & Massimiliano Capezzali, 2020. "Managing Wind Turbine Generators with a Profit Maximized Approach," Sustainability, MDPI, vol. 12(17), pages 1-16, September.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:7139-:d:407338
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/17/7139/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/17/7139/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Torres, David & Crichigno, Jorge & Padilla, Gregg & Rivera, Ruben, 2014. "Scheduling coupled photovoltaic, battery and conventional energy sources to maximize profit using linear programming," Renewable Energy, Elsevier, vol. 72(C), pages 284-290.
    2. Ketterer, Janina C., 2014. "The impact of wind power generation on the electricity price in Germany," Energy Economics, Elsevier, vol. 44(C), pages 270-280.
    3. Hirth, Lion & Müller, Simon, 2016. "System-friendly wind power," Energy Economics, Elsevier, vol. 56(C), pages 51-63.
    4. Nguyen, Thi Anh Tuyet & Chou, Shuo-Yan, 2019. "Improved maintenance optimization of offshore wind systems considering effects of government subsidies, lost production and discounted cost model," Energy, Elsevier, vol. 187(C).
    5. Rubert, T. & McMillan, D. & Niewczas, P., 2018. "A decision support tool to assist with lifetime extension of wind turbines," Renewable Energy, Elsevier, vol. 120(C), pages 423-433.
    6. Sensfuß, Frank & Ragwitz, Mario & Genoese, Massimo, 2008. "The merit-order effect: A detailed analysis of the price effect of renewable electricity generation on spot market prices in Germany," Energy Policy, Elsevier, vol. 36(8), pages 3076-3084, August.
    7. Clark, Caitlyn E. & DuPont, Bryony, 2018. "Reliability-based design optimization in offshore renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 390-400.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Meus, Jelle & De Vits, Sarah & S'heeren, Nele & Delarue, Erik & Proost, Stef, 2021. "Renewable electricity support in perfect markets: Economic incentives under diverse subsidy instruments," Energy Economics, Elsevier, vol. 94(C).
    2. Hosius, Emil & Seebaß, Johann V. & Wacker, Benjamin & Schlüter, Jan Chr., 2023. "The impact of offshore wind energy on Northern European wholesale electricity prices," Applied Energy, Elsevier, vol. 341(C).
    3. Olukunle O. Owolabi & Kathryn Lawson & Sanhita Sengupta & Yingsi Huang & Lan Wang & Chaopeng Shen & Mila Getmansky Sherman & Deborah A. Sunter, 2022. "A Robust Statistical Analysis of the Role of Hydropower on the System Electricity Price and Price Volatility," Papers 2203.02089, arXiv.org.
    4. Csereklyei, Zsuzsanna & Qu, Songze & Ancev, Tihomir, 2019. "The effect of wind and solar power generation on wholesale electricity prices in Australia," Energy Policy, Elsevier, vol. 131(C), pages 358-369.
    5. Thao Pham & Killian Lemoine, 2020. "Impacts of subsidized renewable electricity generation on spot market prices in Germany : Evidence from a GARCH model with panel data," Working Papers hal-02568268, HAL.
    6. repec:dui:wpaper:1504 is not listed on IDEAS
    7. Browne, Oliver & Poletti, Stephen & Young, David, 2015. "How does market power affect the impact of large scale wind investment in 'energy only' wholesale electricity markets?," Energy Policy, Elsevier, vol. 87(C), pages 17-27.
    8. Auer, Benjamin R., 2016. "How does Germany's green energy policy affect electricity market volatility? An application of conditional autoregressive range models," Energy Policy, Elsevier, vol. 98(C), pages 621-628.
    9. Diana Bottger & Philipp Hartel, 2021. "On Wholesale Electricity Prices and Market Values in a Carbon-Neutral Energy System," Papers 2105.01127, arXiv.org.
    10. Samarth Kumar & David Schönheit & Matthew Schmidt & Dominik Möst, 2019. "Parsing the Effects of Wind and Solar Generation on the German Electricity Trade Surplus," Energies, MDPI, vol. 12(18), pages 1-17, September.
    11. Gürtler, Marc & Paulsen, Thomas, 2018. "The effect of wind and solar power forecasts on day-ahead and intraday electricity prices in Germany," Energy Economics, Elsevier, vol. 75(C), pages 150-162.
    12. Kyritsis, Evangelos & Andersson, Jonas & Serletis, Apostolos, 2017. "Electricity prices, large-scale renewable integration, and policy implications," Energy Policy, Elsevier, vol. 101(C), pages 550-560.
    13. Bell, William Paul & Wild, Phillip & Foster, John & Hewson, Michael, 2017. "Revitalising the wind power induced merit order effect to reduce wholesale and retail electricity prices in Australia," Energy Economics, Elsevier, vol. 67(C), pages 224-241.
    14. Brown, T. & Reichenberg, L., 2021. "Decreasing market value of variable renewables can be avoided by policy action," Energy Economics, Elsevier, vol. 100(C).
    15. Macedo, Daniela Pereira & Marques, António Cardoso & Damette, Olivier, 2020. "The impact of the integration of renewable energy sources in the electricity price formation: is the Merit-Order Effect occurring in Portugal?," Utilities Policy, Elsevier, vol. 66(C).
    16. Arcos-Vargas, A. & Nuñez, F. & Román-Collado, R., 2020. "Short-term effects of PV integration on global welfare and CO2 emissions. An application to the Iberian electricity market," Energy, Elsevier, vol. 200(C).
    17. May, Nils, 2017. "The impact of wind power support schemes on technology choices," Energy Economics, Elsevier, vol. 65(C), pages 343-354.
    18. Hu, Jing & Harmsen, Robert & Crijns-Graus, Wina & Worrell, Ernst & van den Broek, Machteld, 2018. "Identifying barriers to large-scale integration of variable renewable electricity into the electricity market: A literature review of market design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2181-2195.
    19. Brian Rivard and Adonis Yatchew, 2016. "Integration of Renewables into the Ontario Electricity System," The Energy Journal, International Association for Energy Economics, vol. 0(Bollino-M).
    20. Marc Baudry & Clément Bonnet, 2016. "Demand pull isntruments and the development of wind power in Europe: A counter-factual analysis," Working Papers 1607, Chaire Economie du climat.
    21. Woo, C.K. & Chen, Y. & Olson, A. & Moore, J. & Schlag, N. & Ong, A. & Ho, T., 2017. "Electricity price behavior and carbon trading: New evidence from California," Applied Energy, Elsevier, vol. 204(C), pages 531-543.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:7139-:d:407338. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.