IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v9y2016i3p162-d65111.html
   My bibliography  Save this article

Evaluation of the Fluid Model Approach for the Sizing of Energy Storage in Wave-Wind Energy Systems

Author

Listed:
  • José A. Domínguez-Navarro

    (Department of Electrical Engineering, University of Zaragoza, María de Luna 3, Zaragoza 50018, Spain)

  • Elisabetta Tedeschi

    (Department of Electric Power Engineering, Norwegian University of Science and Technology (NTNU), O.S. Bragstads Plass 2E, Trondheim 7491, Norway)

Abstract

The application of energy storage in offshore renewable generation systems allows managing the intrinsic uncertainty of the resources and improving the utilization factor of the electrical network. Optimal storage design algorithms generally have to evaluate the behavior of the whole system thousands times before converging to the optimal solution and the reliability of the results obviously depends on the quality of input data. On the other hand, the utilization of simplified storage models in the design stage can reduce the simulation time drastically, while still providing useful information. The goal of this paper is to evaluate the applicability of a methodology for sizing the energy storage system in a hybrid wind and wave farm, which is based on fluid models. The description and performance of this modeling approach will be introduced and compared to standard design procedures based on extensive simulations. Advantages and limitations of each approach will be underlined and the impact of input data quality will be discussed.

Suggested Citation

  • José A. Domínguez-Navarro & Elisabetta Tedeschi, 2016. "Evaluation of the Fluid Model Approach for the Sizing of Energy Storage in Wave-Wind Energy Systems," Energies, MDPI, vol. 9(3), pages 1-19, March.
  • Handle: RePEc:gam:jeners:v:9:y:2016:i:3:p:162-:d:65111
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/9/3/162/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/9/3/162/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fusco, Francesco & Nolan, Gary & Ringwood, John V., 2010. "Variability reduction through optimal combination of wind/wave resources – An Irish case study," Energy, Elsevier, vol. 35(1), pages 314-325.
    2. Rabiee, Abdorreza & Khorramdel, Hossein & Aghaei, Jamshid, 2013. "A review of energy storage systems in microgrids with wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 316-326.
    3. Elisabetta Tedeschi & Jonas Sjolte & Marta Molinas & Maider Santos, 2013. "Stochastic Rating of Storage Systems in Isolated Networks with Increasing Wave Energy Penetration," Energies, MDPI, vol. 6(5), pages 1-20, May.
    4. Zhou, Zhibin & Benbouzid, Mohamed & Frédéric Charpentier, Jean & Scuiller, Franck & Tang, Tianhao, 2013. "A review of energy storage technologies for marine current energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 390-400.
    5. Stoutenburg, Eric D. & Jenkins, Nicholas & Jacobson, Mark Z., 2010. "Power output variations of co-located offshore wind turbines and wave energy converters in California," Renewable Energy, Elsevier, vol. 35(12), pages 2781-2791.
    6. Pérez-Collazo, C. & Greaves, D. & Iglesias, G., 2015. "A review of combined wave and offshore wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 141-153.
    7. Widén, Joakim & Carpman, Nicole & Castellucci, Valeria & Lingfors, David & Olauson, Jon & Remouit, Flore & Bergkvist, Mikael & Grabbe, Mårten & Waters, Rafael, 2015. "Variability assessment and forecasting of renewables: A review for solar, wind, wave and tidal resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 356-375.
    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. Gao, Qiang & Khan, Salman Saeed & Sergiienko, Nataliia & Ertugrul, Nesimi & Hemer, Mark & Negnevitsky, Michael & Ding, Boyin, 2022. "Assessment of wind and wave power characteristic and potential for hybrid exploration in Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    2. Pasquale Contestabile & Enrico Di Lauro & Paolo Galli & Cesare Corselli & Diego Vicinanza, 2017. "Offshore Wind and Wave Energy Assessment around Malè and Magoodhoo Island (Maldives)," Sustainability, MDPI, vol. 9(4), pages 1-24, April.
    3. Lira-Loarca, Andrea & Ferrari, Francesco & Mazzino, Andrea & Besio, Giovanni, 2021. "Future wind and wave energy resources and exploitability in the Mediterranean Sea by 2100," Applied Energy, Elsevier, vol. 302(C).
    4. Clark, Caitlyn E. & Miller, Annalise & DuPont, Bryony, 2019. "An analytical cost model for co-located floating wind-wave energy arrays," Renewable Energy, Elsevier, vol. 132(C), pages 885-897.
    5. Li, Ming & Luo, Haojie & Zhou, Shijie & Senthil Kumar, Gokula Manikandan & Guo, Xinman & Law, Tin Chung & Cao, Sunliang, 2022. "State-of-the-art review of the flexibility and feasibility of emerging offshore and coastal ocean energy technologies in East and Southeast Asia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    6. Barbara Zanuttigh & Elisa Angelelli & Giorgio Bellotti & Alessandro Romano & Yukiko Krontira & Dimitris Troianos & Roberto Suffredini & Giulia Franceschi & Matteo Cantù & Laura Airoldi & Fabio Zagonar, 2015. "Boosting Blue Growth in a Mild Sea: Analysis of the Synergies Produced by a Multi-Purpose Offshore Installation in the Northern Adriatic, Italy," Sustainability, MDPI, vol. 7(6), pages 1-50, May.
    7. Kalogeri, Christina & Galanis, George & Spyrou, Christos & Diamantis, Dimitris & Baladima, Foteini & Koukoula, Marika & Kallos, George, 2017. "Assessing the European offshore wind and wave energy resource for combined exploitation," Renewable Energy, Elsevier, vol. 101(C), pages 244-264.
    8. Gao, Qiang & Yuan, Rui & Ertugrul, Nesimi & Ding, Boyin & Hayward, Jennifer A. & Li, Ye, 2023. "Analysis of energy variability and costs for offshore wind and hybrid power unit with equivalent energy storage system," Applied Energy, Elsevier, vol. 342(C).
    9. Del Pozo Gonzalez, Hector & Bianchi, Fernando D. & Dominguez-Garcia, Jose Luis & Gomis-Bellmunt, Oriol, 2023. "Co-located wind-wave farms: Optimal control and grid integration," Energy, Elsevier, vol. 272(C).
    10. Carlos Perez-Collazo & Deborah Greaves & Gregorio Iglesias, 2018. "A Novel Hybrid Wind-Wave Energy Converter for Jacket-Frame Substructures," Energies, MDPI, vol. 11(3), pages 1-20, March.
    11. Astariz, S. & Iglesias, G., 2017. "The collocation feasibility index – A method for selecting sites for co-located wave and wind farms," Renewable Energy, Elsevier, vol. 103(C), pages 811-824.
    12. Gaughan, Eilis & Fitzgerald, Breiffni, 2020. "An assessment of the potential for Co-located offshore wind and wave farms in Ireland," Energy, Elsevier, vol. 200(C).
    13. Cradden, L. & Kalogeri, C. & Barrios, I. Martinez & Galanis, G. & Ingram, D. & Kallos, G., 2016. "Multi-criteria site selection for offshore renewable energy platforms," Renewable Energy, Elsevier, vol. 87(P1), pages 791-806.
    14. Zanuttigh, Barbara & Angelelli, Elisa & Kortenhaus, Andreas & Koca, Kaan & Krontira, Yukiko & Koundouri, Phoebe, 2016. "A methodology for multi-criteria design of multi-use offshore platforms for marine renewable energy harvesting," Renewable Energy, Elsevier, vol. 85(C), pages 1271-1289.
    15. Astariz, S. & Perez-Collazo, C. & Abanades, J. & Iglesias, G., 2015. "Co-located wave-wind farms: Economic assessment as a function of layout," Renewable Energy, Elsevier, vol. 83(C), pages 837-849.
    16. Sharay Astariz & Gregorio Iglesias, 2015. "Enhancing Wave Energy Competitiveness through Co-Located Wind and Wave Energy Farms. A Review on the Shadow Effect," Energies, MDPI, vol. 8(7), pages 1-23, July.
    17. Rusu, Liliana, 2019. "The wave and wind power potential in the western Black Sea," Renewable Energy, Elsevier, vol. 139(C), pages 1146-1158.
    18. Astariz, S. & Iglesias, G., 2016. "Output power smoothing and reduced downtime period by combined wind and wave energy farms," Energy, Elsevier, vol. 97(C), pages 69-81.
    19. Astariz, S. & Iglesias, G., 2015. "The economics of wave energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 397-408.
    20. Clemente, D. & Rosa-Santos, P. & Taveira-Pinto, F., 2021. "On the potential synergies and applications of wave energy converters: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).

    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:jeners:v:9:y:2016:i:3:p:162-:d:65111. 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.